MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
Поиск скриптов по запросу "gaps"
ImbalancesThis Pine Script is a trading indicator designed to identify imbalances in the market, specifically on candlestick charts. An imbalance refers to situations where there is a significant difference between buyers and sellers, which can create gaps or areas of inefficiency in the price. These imbalances often act as zones where price may return to "fill" or correct these inefficiencies.
1. Identifying Imbalances
The script analyzes candlestick patterns to detect imbalances based on the relationship between the highs, lows, and closes of consecutive candles. Specifically, it looks for:
Top Imbalances (Bearish): Areas where selling pressure has dominated, causing inefficiencies in the price. These are represented by patterns like multiple consecutive bearish candles or bearish gaps.
Bottom Imbalances (Bullish): Areas where buying pressure has dominated, leading to bullish gaps or inefficiencies.
When an imbalance is detected, the script highlights the area using visual boxes on the chart.
2. Visual Representation
The indicator uses colored boxes to show imbalances directly on the chart:
Top (Bearish) Imbalances: Highlighted using shades of red.
Bottom (Bullish) Imbalances: Highlighted using shades of green.
The boxes are further categorized into three states based on their level of mitigation:
Unmitigated: The imbalance has not been "filled" by price yet.
Partially Mitigated: Price has entered the imbalance zone but not completely filled it.
Fully Mitigated: Price has completely filled the imbalance zone.
3. Mitigation Logic
The concept of mitigation refers to the price revisiting an imbalance zone to correct the inefficiency:
If price fully or partially revisits an imbalance zone, the box's color changes to indicate the mitigation level (e.g., from unmitigated to partially/fully mitigated).
Fully mitigated boxes may be removed or recolored, depending on user preferences.
4. User Customization
The script provides several inputs to customize its behavior:
Enable or disable top and bottom imbalance detection.
Color settings: Users can define different colors for unmitigated, partially mitigated, and fully mitigated imbalances.
Mitigation display options: Users can choose whether to show fully mitigated imbalances on the chart or remove them.
5. Key Calculations
Imbalance Size: The size of the imbalance is calculated as the price difference between a candle's high and low across the relevant pattern.
Pattern Detection: The script checks for specific candlestick patterns (e.g., three consecutive bearish candles) to identify potential imbalances.
6. Practical Use Case
This indicator is useful for traders who:
Rely on supply and demand zones for their trading strategies.
Look for areas where price is likely to return (retesting unmitigated imbalances can signal potential trade setups).
Want to visually track market inefficiencies over time.
In Summary
The "Imbalances" indicator highlights and tracks price inefficiencies on candlestick charts. It marks zones where buying or selling pressure was dominant, and it dynamically updates these zones based on price action to indicate their mitigation status. This tool is particularly helpful for traders who use price action and market structure in their strategies.
FVG - NibzDescription: Fair Value Gap (FVG) Indicator - Nibz
This Pine Script identifies and visualizes Fair Value Gaps (FVGs) on your TradingView chart. FVGs are price inefficiencies left behind when the market moves too quickly, skipping price levels that might not be tested. These gaps often act as magnets, attracting price for potential reversals or continuations.
The script works by detecting upward (bullish) and downward (bearish) price imbalances based on specific candlestick criteria and then marks these zones on your chart using customizable shaded boxes. This tool is essential for traders looking to identify key areas of market inefficiency that could signify support/resistance levels, potential reversal zones, or areas to monitor for market rebalancing.
How It Works
1. Bullish FVG Detection
The script identifies an upward imbalance when:
The low of the candlestick two bars back is less than or equal to the open of the previous bar.
The high of the current candlestick is greater than or equal to the close of the previous bar.
When this condition is met and the size of the imbalance is greater than zero, a green box is drawn from the low of the second candlestick back to the high of the current candlestick.
2. Bearish FVG Detection
The script identifies a downward imbalance when:
The high of the candlestick two bars back is greater than or equal to the open of the previous bar.
The low of the current candlestick is less than or equal to the close of the previous bar.
When this condition is met and the size of the imbalance is greater than zero, a red box is drawn from the low of the current candlestick to the high of the second candlestick back.
Customization Options
This script is highly customizable, allowing you to tailor the appearance of the FVG boxes to suit your trading style and chart aesthetics:
Bullish FVG:
Fill color and transparency.
Border color and transparency.
Bearish FVG:
Fill color and transparency.
Border color and transparency.
The settings are user-friendly, with intuitive sliders for transparency and color pickers for customization.
How to Use the Indicator
Adding the Script:
Add the indicator to your chart, and it will automatically mark bullish (green) and bearish (red) FVGs.
Interpreting FVGs:
Bullish FVGs (green zones): These often act as support or areas of potential price rebalancing on retracement.
Bearish FVGs (red zones): These often act as resistance or areas of interest for short entries.
Trade Ideas:
Use FVG zones to confirm other trade signals or strategies.
Watch for price interaction with these zones to time entries and exits.
Key Features
Automated detection of Fair Value Gaps.
Customizable visual representation to match your chart preferences.
Enhances trading precision by identifying price inefficiencies.
Suitable for scalping, day trading, or swing trading strategies.
This script provides a powerful tool to highlight important price levels and inefficiencies in the market, enabling traders to make informed decisions. Whether you're using it as a standalone indicator or combining it with other tools, the 'FVG - Nibz' indicator is a valuable addition to any trader's toolkit!
Money Flow DivergenceThe Money Flow Divergence indicator is designed to help traders identify periods when there is a significant divergence between the growth of the U.S. M2 money supply and the S&P 500 index (SPX).
This divergence can provide insights into potential market turning points, making it a valuable tool for long-term investors and traders looking to capitalize on macroeconomic trends.
How It Works:
Data Sources:
S&P 500 Index (SPX) and U.S. M2 Money Supply.
Calculating Growth Rates:
SPX Growth: The script calculates the percentage growth of the S&P 500 index by comparing the current closing price with the previous period's closing price.
M2 Growth: Similarly, it calculates the percentage growth of the U.S. M2 money supply by comparing the current value with the previous period's value.
Growth Gap/Delta:
Growth Gap: The core of the indicator is the "growth gap" or "delta," which is the difference between the M2 money supply growth and the SPX growth. This gap indicates whether liquidity in the economy (represented by M2) is outpacing or lagging behind the performance of the stock market.
Interpretation:
Positive Gap (Green Bars): When the M2 growth outpaces SPX growth, the gap is positive, indicating that there is more liquidity in the system than what is being reflected in the stock market. This scenario often signals potential upward momentum in the market, making it a good time to consider buying.
Negative Gap (Red Bars): When the SPX growth outpaces M2 growth, the gap is negative, suggesting that the market may be overextended relative to the available liquidity. This can be a warning sign of potential market corrections or downturns.
Visualization:
The indicator plots the growth gap as a histogram with bars colored based on the gap value:
Green Bars: Indicate a positive gap where M2 growth is higher than SPX growth.
Red Bars: Indicate a negative gap where SPX growth is higher than M2 growth.
The bars are thickened for better visibility, and a horizontal line at zero is plotted to help users easily distinguish between positive and negative gaps.
How To Use It:
Time Frame Selection: Users can select the desired time frame (e.g., monthly, weekly) for the data. This flexibility allows traders to analyze the indicator over different periods, depending on their investment horizon.
Monthly time frames seem to work best.
Interpreting the Indicator:
Bullish Signals: Look for sustained periods of positive growth gaps (green bars), which may indicate a favorable environment for buying or holding long positions.
Bearish Signals: Be cautious during periods of negative growth gaps (red bars), which could signal overvaluation in the market or potential pullbacks.
Enjoy and let me know if you have any questions.
Smart Money Concept [TradingFinder] Major OB + FVG + Liquidity🔵 Introduction
"Smart Money" refers to funds under the control of institutional investors, central banks, funds, market makers, and other financial entities. Ordinary people recognize investments made by those who have a deep understanding of market performance and possess information typically inaccessible to regular investors as "Smart Money".
Consequently, when market movements often diverge from expectations, traders identify the footprints of smart money. For example, when a classic pattern forms in the market, traders take short positions. However, the market might move upward instead. They attribute this contradiction to smart money and seek to capitalize on such inconsistencies in their trades.
The "Smart Money Concept" (SMC) is one of the primary styles of technical analysis that falls under the subset of "Price Action". Price action encompasses various subcategories, with one of the most significant being "Supply and Demand", in which SMC is categorized.
The SMC method aims to identify trading opportunities by emphasizing the impact of large traders (Smart Money) on the market, offering specific patterns, techniques, and trading strategies.
🟣 Key Terms of Smart Money Concept (SMC)
• Market Structure (Trend)
• Change of Character (ChoCh)
• Break of Structure (BoS)
• Order Blocks (Supply and Demand)
• Imbalance (IMB)
• Inefficiency (IFC)
• Fair Value Gap (FVG)
• Liquidity
• Premium and Discount
🔵 How Does the "Smart Money Concept Indicator" Work?
🟣 Market Structure
a. Accumulation
b. Market-Up
c. Distribution
d. Market-Down
a) Accumulation Phase : During the accumulation period, typically following a downtrend, smart money enters the market without significantly affecting the pricing trend.
b) Market-Up Phase : In this phase, the price of an asset moves upward from the accumulation range and begins to rise. Usually, the buying by retail investors is the main driver of this trend, and due to positive market sentiment, it continues.
c) Distribution Phase : The distribution phase, unlike the accumulation stage, occurs after an uptrend. In this phase, smart money attempts to exit the market without causing significant price fluctuations.
d) Market-Down Phase : In this stage, the price of an asset moves downward from the distribution phase, initiating a prolonged downtrend. Smart money liquidates all its positions by creating selling pressure, trapping latecomer investors.
The result of these four phases in the market becomes the market trend.
Types of Trends in Financial Markets :
a. Up-Trend
b. Down Trend
c. Range (No Trend)
a) Up-Trend : The market breaks consecutive highs.
b) Down Trend : The market breaks consecutive lows.
c) No Trend or Range : The market oscillates within a range without breaking either highs or lows.
🟣 Change of Character (ChoCh)
The "ChoCh" or "Change of Character" pattern indicates an initial change in order flow in financial markets. This structural change occurs when a major pivot in the opposite direction of the market trend fails. It signals a potential change in the market trend and can serve as a signal for short-term or long-term trend changes in a trading symbol.
🟣 Break of Structure (BoS)
The "BoS" or "Break of Structure" pattern indicates the continuation of the trend in financial markets. This structure forms when, in an uptrend, the price breaks its ceiling or, in a downtrend, the price breaks its floor.
🟣 Order Blocks (Supply and Demand)
Order blocks consist of supply and demand areas where the likelihood of price reversal is higher. There are six order blocks in this indicator, categorized based on their origin and formation reasons.
a. Demand Main Zone, "ChoCh" Origin.
b. Demand Sub Zone, "ChoCh" Origin.
c. Demand All Zone, "BoS" Origin.
d. Supply Main Zone, "ChoCh" Origin.
e. Supply Sub Zone, "ChoCh" Origin.
f. Supply All Zone, "BoS" Origin.
🟣 FVG | Inefficiency | Imbalance
These three terms are almost synonymous. They describe the presence of gaps between consecutive candle shadows. This inefficiency occurs when the market moves rapidly. Primarily, imbalances and these rapid movements stem from the entry of smart money and the imbalance between buyer and seller power. Therefore, identifying these movements is crucial for traders.
These areas are significant because prices often return to fill these gaps or even before they occur to fill price gaps.
🟣 Liquidity
Liquidity zones are areas where there is a likelihood of congestion of stop-loss orders. Liquidity is considered the driving force of the entire market, and market makers may manipulate the market using these zones. However, in many cases, this does not happen because there is insufficient liquidity in some areas.
Types of Liquidity in Financial Markets :
a. Trend Lines
b. Double Tops | Double Bottoms
c. Triple Tops | Triple Bottoms
d. Support Lines | Resistance Lines
All four types of liquidity in this indicator are automatically identified.
🟣 Premium and Discount
Premium and discount zones can assist traders in making better decisions. For instance, they may sell positions in expensive ranges and buy in cheaper ranges. The closer the price is to the major resistance, the more expensive it is, and the closer it is to the major support, the cheaper it is.
🔵 How to Use
🟣 Change of Character (ChoCh) and Break of Structure (BoS)
This indicator detects "ChoCh" and "BoS" in both Minor and Major states. You can turn on the display of these lines by referring to the last part of the settings.
🟣 Order Blocks (Supply and Demand)
Order blocks are Zones where the probability of price reversal is higher. In demand Zones you can buy opportunities and in supply Zones you can check sell opportunities.
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.
🟣 Fair Value Gap (FVG) | Imbalance (IMB) | Inefficiency (IFC)
In order to identify the "fair value gap" on the chart, it must be analyzed candle by candle. In this process, it is important to pay attention to candles with a large size, and a candle and a candle should be examined before that.
Candles before and after this central candle should have long shadows and their bodies should not overlap with the central candle body. The distance between the shadows of the first and third candles is known as the FVG range.
These areas work in two ways :
• Supply and demand area : In this case, the price reacts to these areas and the trend is reversed.
• Liquidity zone : In this scenario, the price "fills" the zone and then reaches the order block.
Important note : In most cases, the FVG zone of very small width acts as a supply and demand zone, while the zone of significant width acts as a liquidity zone and absorbs price.
When the FVG filter is activated, the FVG regions are filtered based on the specified algorithm.
FVG filter types include the following :
1. Very Aggressive Mode : In addition to the initial condition, an additional condition is considered. For bullish FVG, the maximum price of the last candle must be greater than the maximum price of the middle candle.
Similarly, for a bearish FVG, the minimum price of the last candle must be lower than the minimum price of the middle candle. This mode removes the minimum number of FVGs.
2. Aggressive : In addition to the very aggressive condition, the size of the middle candle is also considered. The size of the center candle should not be small and therefore more FVGs are removed in this case.
3. Defensive : In addition to the conditions of the very aggressive mode, this mode also considers the size of the middle pile, which should be relatively large and make up the majority of the body.
Also, to identify bullish FVGs, the second and third candles must be positive, while for bearish FVGs, the second and third candles must be negative. This mode filters out a significant number of FVGs and keeps only those of good quality.
4. Very Defensive : In addition to the conditions of the defensive mode, in this mode the first and third candles should not be very small-bodied doji candles. This mode filters out most FVGs and only the best quality ones remain.
🟣 Liquidity
These levels are where traders intend to exit their trades. "Market makers" or smart money usually accumulate or distribute their trading positions near these levels, where many retail traders have placed their "stop loss" orders. When liquidity is collected from these losses, the price often reverses.
A "Stop hunt" is a move designed to offset liquidity generated by established stop losses. Banks often use major news events to trigger stop hunts and capture liquidity released into the market. For example, if they intend to execute heavy buy orders, they encourage others to sell through stop-hots.
Consequently, if there is liquidity in the market before reaching the order block area, the validity of that order block is higher. Conversely, if the liquidity is close to the order block, that is, the price reaches the order block before reaching the liquidity limit, the validity of that order block is lower.
🟣 Alert
With the new alert functionality in this indicator, you won't miss any important trading signals. Alerts are activated when the price hits the last order block.
1. It is possible to set alerts for each "symbol" and "time frame". The system will automatically detect both and include them in the warning message.
2. Each alert provides the exact date and time it was triggered. This helps you measure the timeliness of the signal and evaluate its relevance.
3. Alerts include target order block price ranges. The "Proximal" level represents the initial price level strike, while the "Distal" level represents the maximum price gap in the block. These details are included in the warning message.
4. You can customize the alert name through the "Alert Name" entry.
5. Create custom messages for "long" and "short" alerts to be sent with notifications.
🔵 Setting
a. Pivot Period of Order Blocks Detector :
Using this parameter, you can set the zigzag period that is formed based on the pivots.
b. Order Blocks Validity Period (Bar) :
You can set the validity period of each Order Block based on the number of candles that have passed since the origin of the Order Block.
c. Demand Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Main Zone, "ChoCh" Origin.
d. Demand Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Sub Zone, "ChoCh" Origin.
e. Demand All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Demand All Zone, "BoS" Origin.
f. Supply Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Main Zone, "ChoCh" Origin.
g. Supply Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Sub Zone, "ChoCh" Origin.
h. Supply All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Supply All Zone, "BoS" Origin.
i. Refine Demand Main : You can choose to be refined or not and also the type of refining.
j. Refine Demand Sub : You can choose to be refined or not and also the type of refining.
k. Refine Demand BoS : You can choose to be refined or not and also the type of refining.
l. Refine Supply Main : You can choose to be refined or not and also the type of refining.
m. Refine Supply Sub : You can choose to be refined or not and also the type of refining.
n. Refine Supply BoS : You can choose to be refined or not and also the type of refining.
o. Show Demand FVG : You can choose to show or not show Demand FVG.
p. Show Supply FVG : You can choose to show or not show Supply FVG
q. FVG Filter : You can choose whether FVG is filtered or not. Also specify the type of filter you want to use.
r. Show Statics High Liquidity Line : Show or not show Statics High Liquidity Line.
s. Show Statics Low Liquidity Line : Show or not show Statics Low Liquidity Line.
t. Show Dynamics High Liquidity Line : Show or not show Dynamics High Liquidity Line.
u. Show Dynamics Low Liquidity Line : Show or not show Dynamics Low Liquidity Line.
v. Statics Period Pivot :
Using this parameter, you can set the Swing period that is formed based on Static Liquidity Lines.
w. Dynamics Period Pivot :
Using this parameter, you can set the Swing period that is formed based Dynamics Liquidity Lines.
x. Statics Liquidity Line Sensitivity :
is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
y. Dynamics Liquidity Line Sensitivity :
is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
z. Alerts Name : You can customize the alert name using this input and set it to your desired name.
aa. Alert Demand Main Mitigation :
If you want to receive the alert about Demand Main 's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
bb. Alert Demand Sub Mitigation :
If you want to receive the alert about Demand Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
cc. Alert Demand BoS Mitigation :
If you want to receive the alert about Demand BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
dd. Alert Supply Main Mitigation :
If you want to receive the alert about Supply Main's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ee. Alert Supply Sub Mitigation :
If you want to receive the alert about Supply Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ff. Alert Supply BoS Mitigation :
If you want to receive the alert about Supply BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
gg. Message Frequency :
This parameter, represented as a string, determines the frequency of announcements. Options include: 'All' (triggers the alert every time the function is called), 'Once Per Bar' (triggers the alert only on the first call within the bar), and 'Once Per Bar Close' (activates the alert only during the final script execution of the real-time bar upon closure). The default setting is 'Once per Bar'.
hh. Show Alert time by Time Zone :
The date, hour, and minute displayed in alert messages can be configured to reflect any chosen time zone. For instance, if you prefer London time, you should input 'UTC+1'. By default, this input is configured to the 'UTC' time zone.
ii. Display More Info : The 'Display More Info' option provides details regarding the price range of the order blocks (Zone Price), along with the date, hour, and minute. If you prefer not to include this information in the alert message, you should set it to 'Off'.
You also have access to display or not to display, choose the Style and Color of all the lines below :
a. Major Bullish "BoS" Lines
b. Major Bearish "BoS" Lines
c. Minor Bullish "BoS" Lines
d. Minor Bearish "BoS" Lines
e. Major Bullish "ChoCh" Lines
f. Major Bearish "ChoCh" Lines
g. Minor Bullish "ChoCh" Lines
h. Minor Bearish "ChoCh" Lines
i. Last Major Support Line
j. Last Major Resistance Line
k. Last Minor Support Line
l. Last Minor Resistance Line
Monte Carlo Future Moves [ChartPrime]ORIGINS AND HISTORICAL BACKGROUND:
Prior to the the advent of the Monte Carlo method, examining well-understood deterministic problems via simulation generally utilized statistical sampling to gauge uncertainty estimations. The Monte Carlo (MC) approach inverts this paradigm by modeling with probabilistic metaheuristics to address deterministic problems. Addressing Buffon's needle problem, an early form of the Monte Carlo method estimated π (3.14159) by dropping needles on a floor. Later, the modern MC inception primarily began when Stanislaw Ulam was playing solitaire games while experiencing illness and recovery.
Ulam further developed, applied, and ascribed "Monte Carlo" as a classified code name to maintain a level of secrecy for the modern method applications during collaborative investigations on neutron diffusion and collision intricacies with John von Neumann. Despite having relevant data, physicist's conventional deterministic mathematical methods were unable to solve mysterious "neutronion problems". Monte Carlo filled in the gaps necessary to resolve this perplexing neutron problem with innovative statistics, and the resilient MC continues onward to have diverse application in many fields of science. MC also extends into the realm of relevance within finance.
APPLICATION IN FINANCE:
Building on its historical roots, the Monte Carlo method's transition into finance opened new avenues for risk assessment and predictive analysis. In financial markets, characterized by uncertainty and complex variables, this method offers a powerful tool for simulating a wide range of scenarios and assessing probabilities of different outcomes. By employing probabilistic models to predict price movements, the Monte Carlo method helps in creating more resilient and informed trading strategies. This approach is particularly valuable in options pricing, portfolio management, and risk assessment, where understanding the range of potential outcomes is crucial for making sound investment decisions. Our indicator utilizes this methodology, blending traditional financial analysis with advanced statistical techniques.
THE INDICATOR:
The Monte Carlo Future Moves (ChartPrime) indicator is designed to predict future price movements. It simulates various possible price paths, showing the likelihood of different outcomes. We have designed it to be simple to use and understand by displaying lines indicating the most likely bullish and bearish outcomes. The arrows point to these areas making it intuitive to understand. Also included is extreme price levels shown in blue and yellow. This is the most likely extreme range that the price will move to. The outcome distribution is there to show you the range of outcomes along with a visual representation of the possible future outcomes. To make things more user friendly we have also included a representation of this distribution as a background heatmap. The brighter the price level, the more likely the price will end at that level. Finally, we have also included a market bias indication on the side that shows you the general bullish/bearish probabilities.
HOW TO USE:
To use this indicator you want to first assess the market bias. From there you want to target the most likely polar outcome. You can use the range of outcomes to assess your risk and set a stop within a reasonable range of the desired target. By default the indicator projects 10 steps into the future, however this can be easily adjusted in the settings. Generally this indicator excels at mid-term estimations and may yield inconclusive results if the prediction period is too short or too long. You can change the granularity of the outcomes to give you a more or less detailed view of the future. That being said, a lower resolution can make the predictions less useful while a higher resolution can give you a less useful picture. If you decide to use a higher resolution we have included an option to smooth the final result. This is intended to reduce the uncertainty and noise in the predicted outcomes. It is advised to use the minimum level of smoothing possible as a high level of smoothing will greatly reduce the accuracy.
INPUT SECTION:
Derivative Source changes how the indicator sees the price movements. When you set this to Candle it will use the difference between the open and close of each candle. If set to Move, it will use the difference between closing prices. If you are in a market with gaps, you might want to use Candle as this will prevent the indicator from seeing gaps.
Number of Simulations is a crucial setting as it is the core of this indicator. This determines the number of simulations the indicator will use to get its final result. By default it is set to 1000 as we feel like that is around the minimum number of simulations required to get a reasonable output while maintaining stability. In tests the maximum number of simulations we have been able to consistently achieve is 2000.
Lookback is the number of historical candles to account for. A lookback that is too short will not have enough data to accurately assess the likelihood of a price movement, while a period that is too large can make the data less relevant. By default this is set to 1000 as we feel like this is a reasonable tradeoff between volume of data and relevance.
Steps Into Future is the prediction period. By default we have picked a period of 10 steps as this has a good balance between accuracy and usability. The more steps into the future you go, the more uncertain the future outcome will be.
Outcome Granularity controls the precision of the simulated outcomes. By default this is set to 40 as its a good balance between resolution and accuracy.
Outcome Smoothing allows you to smooth the outcome distribution. By default this is set to 0 as it is generally not needed for lower resolutions. Smoothing levels beyond 2 are not recommended as it will negatively impact the output.
Returns Granularity controls the level of definition in the collected price movements. This directly impacts indicator performance and is set to 50 by default because its a good balance between fidelity and usability. When this number is too small, the simulations will be less accurate while numbers too large will negatively impact the probabilities of the movements.
Drift is the trend component in the simulation. This adds the directionality of the simulations by biasing the movements in the current direction of the market. We have included both the standard formula for drift and linear regression. Both methods are well suited for simulating future price movements and have their own advantages. The drift period is set to 100 by default as its a good balance between current and historical directionality. You may want to increase or decrease this number depending on the current market conditions but it is advised to use a period that isn't too small. If your period is too small it can skew the outcomes too much resulting in poor performance. When this is set to 0 it will use the same period as your lookback.
Volatility Adjust , adjusts the simulation to include current volatility. This makes sure that the price movements in the simulation reflects the current market conditions better by making sure that each price move is at least a minimum size.
Returns Style allows you to pick between using percent moves and log returns. We have opted to make percent move the default as it is more intuitive for beginners however both settings yield similar results. Log returns can be less cpu intensive so it might be desirable for longer term predictions.
Precision adjusts the rounding of used when collecting the frequency of price movement sizes. By default this is set to 4 as its is fairly accurate without impacting performance too much. A larger number will make the indicator more precise but at the cost of cpu time. Precision levels that are too small can greatly reduce the accuracy of the simulation and even break the indicator all together.
Update Every Bar allows you to recalculate the prediction every bar and is there for you if you want to strictly use the market bias. It is not recommended to enable this feature but it is there for flexibility.
Side of Chart allows you to pick what side of the price action you want the visuals to be on. When its set to the right everything will be to the right of the starting point and when its set to Left it will position everything to the left of the starting point.
Move Visualization is there to give you an arrow to the most likely bullish and bearish moves. It is meant as a visual aid and visualization tool. The color of these arrows use the same colors as the distribution.
Most Likely Move is a horizontal line that indicates the most likely move. It is positioned in the same location as the Move Visualization.
Standard Deviation is horizontal lines at the extremities of the simulated price action. These represent the most likely range of the future outcomes. You can adjust the multiplier of the standard deviation but by default it is set to 2.
Most Likely Direction is a vertical bar that shows you the sum of the up and down probabilities. It is there to show you the bias of the outcomes and guide you in decision making.
Max Probability Zone is a horizontal line that highlights the location of the highest probability move. You can think of it almost like the POC in a volume distribution but in this case it is the "most likely" single outcome.
Outcome Distribution allows you to toggle the distribution on or off. This is the distribution of all of the simulated outcomes. You can toggle the scale width of the distribution to fit your visual style.
Distribution Text toggles the probability text inside of the distribution bars. When you have a large number for the outcome granularity this text may not be visible and you may want to disable this feature.
Background is a heatmap of the outcome distribution. This allows you to visualize the underlying distribution without the need for the distribution histogram. The brighter the color, the more likely the outcome is for that level. It can be useful for visualizing the range of possible outcomes.
Starting Line is simply a horizontal line indicating the starting point of the simulation. It just the opening price for the starting position.
Extend Lines allows you to extend the lines and background past the prediction period.
CONCLUSION:
With its intuitive visuals and flexible settings, the Monte Carlo Future Moves (ChartPrime) indicator is practice and easy to use. It brings clarity to price movement predictions, helping you to build confidence in your strategies. This indicator not only reflects the evolution of technical analysis but also touches on data-driven insights.
Enjoy
SPX Daily Probability Predictor_MFCDescription:
The SPX Daily Probability Predictor is a powerful trading indicator designed exclusively for TradingView, providing traders with valuable insights into the potential movement of the S&P 500 index (SPX) on a daily basis. This indicator utilizes a sophisticated calculation method based on historical price movements, including gaps, to estimate the probability of the index's future direction.
Key Features:
Daily Probability Calculation:
The indicator calculates the daily probability of the SPX movement by analyzing the standard deviation of historical price changes. This statistical approach offers a comprehensive understanding of the market's volatility and aids traders in making more informed decisions.
Historical Movement Inclusion:
Unlike traditional indicators that only consider the closing prices, the SPX Daily Probability Predictor goes a step further by incorporating the full spectrum of daily movements, including gaps. This inclusive approach provides a more accurate representation of market dynamics, enhancing the reliability of the probability predictions.
Real-Time Analysis:
Stay ahead of the market with real-time analysis that adapts to the current trading session. The SPX Daily Probability Predictor dynamically adjusts its calculations throughout the trading day, ensuring that traders receive the most up-to-date and relevant information for their decision-making process.
Customizable Parameters:
Tailor the indicator to your trading preferences with customizable parameters. Adjust the lookback period or fine-tune other settings to align the probability predictions with your individual trading strategy.
By incorporating historical price movements, including gaps, and employing statistical analysis to calculate daily probabilities, the SPX Daily Probability Predictor equips traders with a valuable tool for anticipating potential market directions. Whether you are a seasoned investor or a newcomer to the world of trading, this indicator provides actionable insights that can contribute to more informed decision-making in the dynamic environment of the stock market.
Upcoming Enhancements:
Please note that while the SPX Daily Probability Predictor currently offers a robust set of features for daily market analysis, we are committed to continuous improvement and the development of additional functionalities. In future updates, users can look forward to exciting enhancements, including the capability to forecast future probabilities of market movements. This forward-looking feature will provide traders with a valuable glimpse into potential trends, aiding in more proactive decision-making.
Furthermore, we are actively working on expanding the indicator's scope to accommodate different time frames. Soon, traders will have the option to obtain probability data not only on a daily basis but also for monthly or weekly intervals. This extended flexibility allows for a more comprehensive analysis, catering to various trading styles and preferences.
As we strive to create a versatile and powerful tool for the TradingView community, we welcome user feedback and suggestions for additional features. Your insights play a crucial role in shaping the future evolution of the SPX Daily Probability Predictor, ensuring it remains a valuable asset in the dynamic landscape of financial markets. Stay tuned for updates as we continue to enhance and refine this innovative trading indicator.
HTF Fair Value Gap [LuxAlgo]The HTF Fair Value Gap indicator aims to display the exact time/price locations of fair value gaps within a higher user-selected chart timeframe.
🔶 USAGE
The indicator can be used to detect higher time frame fair value gaps. Detected historical HTF FVG are displayed as changes in chart background colors, with a green color indicating a bullish FVG and red a bearish FVG.
The most recent HTF FVG is displayed as a candle to the right of the most recent price candle. Dashed lines indicate the exact location of the FVG upper and lower extremities.
The wicks of the FVG candle indicate the price deviation from the FVG extremities after its formation and can help determine where the FVG is located within a trend.
A "Status" dashboard is included to indicate if the FVG is mitigated or not. This is also indicated by the border of the FVG candle, with a solid border indicating an unmitigated FVG.
🔶 SETTINGS
Timeframe: Chart timeframe used to retrieve the fair value gaps
🔹 Style
Offset: Offset to the right (in bars) of the FVG candle from the most recent bar.
Width: Width (in bars) of the FVG candle.
🔹 Dashboard
Show Dashboard: Determine whether to display the dashboard or not.
Location: Location of the dashboard on the chart.
Size: Size of the dashboard on the chart.
True Average Period Traded RangeTrue Average Period Trading Range (TAPTR)
The J. Welles Wilder Average True Range calculation includes the ability to calculate in gaps into the equation.
It is in my opinion that gaps are untraded range values until the prices on their own come back and close the gaps.
The TAPTR calculation is simple, it is the average for a set period of time of the HIGH - LOW.
The ATR average calculation is automatically set based on the timeframe period you are looking at.
12 Months (1 year) = 10 (1 decade)
Months = 12 (1 year)
Weeks = 12 (1 business quarter)
Days = 21 (1 trading month)
4 Hour = 9 (5 trading days)
1 Hour = 33 (5 trading days)
45 minutes = 9 (1 trading day)
30 minutes = 14 (1 trading day)
15 minutes = 28 (1 trading day)
10 minutes = 42 (1 trading day)
5 minutes = 85 (1 trading day)
1 minute = 420 (1 trading day)
default value = 21 (if using a timeframe not described above)
The "master trend" as being a 21 SMA.
The colored columns represent the actual range value for that time period.
Description of values from left to right.
1) Actual Trade Range Value for the time period you are viewing
2) % of price (in decimal, you need multiply by 100 to get the true percent)
3) Average Traded Range
4) % of price
5) .618 of Average Traded Range
6) % of price
7) Mean of #3 and #5
8) % of price
The % of price is displayed in its calculated form. You need to multiple the value by 100 if you want the actual percent.
Example: Displayed Value: 0.0246 = 2.46%
Why calculated form only? If the ranges are .72 and the % of price is 2.32 the indicator looks all jacked up like a redneck's pick-up.
However, if it is .0232, everything is to scale.
Why is % of price helpful?
If you are trading and are aware that average period traded range is 5%, you now have an idea of an average return if you could catch from low to high (or short high to low).
Bar Colors
RED is greater than 4.2x TAPTR
ORANGE is greater than 2.618x TAPTR but less than RED
YELLOW is greater than 1.618x TAPTR but less than ORANGE
GREEN is greater than .618x TAPTR but less than YELLOW
BLUE is less than GREEN
The colors of the bars represent how far from the Master Trend (21 SMA) the close is.
This is determined by taking the difference between the close and the 21 SMA and dividing by the current TAPTR.
EXAMPLE:
IF you have a RED bar, the close is greater than 4.2 TAPTRs away from the 21 SMA. This means that either prices will stall and remain flat until
the SMA comes to the prices or turn and return to the SMA.
If prices are greater than 4.2 TAPTR, that also represents that it is greater than 4 or more time periods from the mean if the return traded within the averages.
LuxAlgo® - Price Action Concepts™Price Action Concepts™ is a first of it's kind all-in-one indicator toolkit which includes various features specifically based on pure price action.
Order Blocks w/ volume data, real-time market structure (BOS, CHoCH, EQH/L) w/ 'CHoCH+' being a more confirmed reversal signal, a MTF dashboard, Trend Line Liquidity Zones (real-time), Chart Pattern Liquidity Zones, Liquidity Grabs, and much more detailed customization to get an edge trading price action automatically.
Many traders argue that trading price action is better than using technical indicators due to lag, complexity, and noisy charts. Popular ideas within the trading space that cater towards price action trading include "trading like the banks" or "Smart Money Concepts trading" (SMC), most prominently known within the forex community.
What differentiates price action trading from others forms of technical analysis is that it's main focus is on raw price data opposed to creating values or plots derived from price history.
Mostly all of the features within this script are generated purely from price action, more specifically; swing highs, swing lows, and market structure... which allows users to automate their analysis of price action for any market / timeframe.
🔶 FEATURES
This script includes many features based on Price Action; these are highlighted below:
Market structure (BOS, CHoCH, CHoCH+, EQH/L) (Internal & Swing) multi-timeframe
Volumetric Order Blocks & mitigation methods (bullish & bearish)
Liquidity Concepts
Trend Line Liquidity Zones
Chart Pattern Liquidity
Liquidity Grabs Feature
Imbalance Concepts MTF w/ multiple mitigation methods
Fair Value Gaps
Balanced Price Range
Activity Asymmetry
Strong/Weak Highs & Lows w/ volume percentages
Premium & Discount Zones included
Candle Coloring based on market structure
Previous Highs/Lows (Daily, Monday's, Weekly, Monthly, Quarterly)
Multi-Timeframe Dashboard (15m, 1h, 4h, 1d)
Built-in alert conditions & Any Alert() Function Call Conditions
Advanced Alerts Creator to create step-by-step alerts with various conditions
+ more (see changelog below for current features)
🔶 BASIC DEMONSTRATION
In the image above we can see a demonstration of the market structure labeling within this indicator. The automatic BOS & CHoCH labels on top of dashed lines give clear indications of breakouts & reversals within the internal market structure (short term price action). The "CHoCH+" label is also demonstrated as it triggers only if price has already made a new higher low, or lower high.
We can also see a solid line with a larger BOS label in the middle of the chart. This label demonstrates a break of structure taking into account the swing market structure (longer term price action). All of these labels are generated in real-time.
🔶 USAGE & EXAMPLES
In the image below we can see how a trade setup could be created using Order Blocks w/ volume metrics to find points of interest in the market, swing / internal market structure to get indications of longer & shorter term reversals, and trend line liquidity zones to find more likely impulses & breakouts within trends.
We can see in the next image below that price came down to the highest volume order block marked out previously as our point of interest for an entry used in confluence with the overall market structure being bullish (swing CHoCH). Due to price closing below the middle Order Block at (24.77%), we saw it was mitigated, and then price revisited liquidity above the Trend Line zone above, leading us to the first Order Block as a target.
You will notice the % values adjust as Order Blocks are touched & mitigated, aligning with the correct volume detected when the Order Block was established.
In the image below we can see more features from within Price Action Concepts™ indicator, including Chart Pattern Liquidity, Fair Value Gaps (one of many Imbalance Concepts), Liquidity Grabs, as well as the primary market structures & OBs.
By using multiple features as such, users can develop a greater interpretation of where liquidity rests in the market, which allows them to develop trading plans a lot easier. Liquidity Grabs are highlighted as blue/red boxes on the wicks during specific price action that indicates the market has made an impulse specifically to take out resting buy or sell side orders.
We can notice in the trade demonstrated below (hindsight example) how price often moves to the areas of the most liquidity, even if unexpected according to classical technical analysis performed by retail traders such as chart patterns. Wicks to take out orders above & potentially trap traders are much more noticeable with features such as these.
The Chart Patterns which can be detected include:
Ascending/Descending Wedges (Asc/Desc Wedge)
Ascending/Descending Broadening Wedges (Asc/Desc BW)
Ascending/Descending/Symmetrical Triangles (Asc/Desc/Sym Triangle)
Double Tops/Bottoms (Double Top/Double BTM)
Head & Shoulders (H&S)
Inverted Head & Shoulders (IH&S)
General support & resistance during undetected patterns
In the image below we can see more features from within the indicator, including Balanced Price Range (another imbalance method similar to FVG), Market Structure Candle Coloring, Accumulation & Distribution zones, Premium & Discount zones w/ a percentage on each zone, the MTF dashboard, as well as the Previous Daily Highs & Lows (one of many highs/lows) displayed on the chart automatically.
The colored candles use more specific market structure analysis, specifically allowing users to visualize when trends are considered "normal" or "strong". By utilizing other features alongside this market structure analysis, such as noticing price retesting the PDL level + the Equilibrium as resistance, a Balanced Price Range below price, the discount with a high 72% metric, and the MTF dashboard displaying an overall bearish structure...
...users can instantly gain a deeper interpretation of price action, make highly confluent trading plans while avoiding classical technical indicators, and use traditional retail trading concepts such as chart patterns / trend lines to their advantage in finding logical areas of liquidity & points of interest in the market.
The image below shows the previous chart zoomed in with 2 liquidity concepts re-enabled & used alongside a new range targeting the same Discount zone.
🔶 SETTINGS
Market Structure Internal: Allows the user to select which internal structures to display (BOS, CHoCH, or None).
Market Structure Swing: Allows the user to select which swing structures to display (BOS, CHoCH, or None).
MTF Scanner: See market structure on various timeframes & how many labels are active consecutively.
Equal Highs & Lows: Displays EQH / EQL labels on chart for detecting equal highs & lows.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Order Blocks Internal: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart as well as select a color.
Order Blocks Swing: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart as well as select a color.
Mitigation Method: Allows the user to select how the script mitigates an Order Block (close, wick, or average).
Internal Buy/Sell Activity: Allows the user to display buy/sell activity within Order Blocks & decide their color.
Show Metrics: Allows the user to display volume % metrics within the Order Blocks.
Trend Line Liquidity Zones: Allows the user to display Trend Line Zones on the chart, select the number of Trend Lines visible, & their colors.
Chart Pattern Liquidity: Allows the user to display Chart Patterns on the chart, select the significance of the pattern detection, & their colors.
Liquidity Grabs: Allows the user to display Liquidity Grabs on the chart.
Imbalance Concepts: Allows the user to select the type of imbalances to display on the chart as well as the styling, mitigation method, & timeframe.
Auto FVG Threshold: Filter out non-significant fair value gaps.
Premium/ Discount Zones: Allows the user to display Premium, Discount , and Equilibrium zones on the chart
Accumulation / Distribution: Allows the user to display accumulation & distribution consolidation zones with an optional Consolidation Zig-Zag setting included.
Highs/Lows MTF: Displays previous highs & lows as levels on the chart for the previous Day, Monday, Week, Month, or quarter (3M).
General Styling: Provides styling options for market structure labels, market structure theme, and dashboard customization.
Any Alert() Function Call Conditions: Allows the user to select multiple conditions to use within 1 alert.
🔶 CONCLUSION
Price action trading is a widely respected method for its simplicity & realistic approach to understanding the market itself. Price Action Concepts™ is an extremely comprehensive product that opens the possibilities for any trader to automatically display useful metrics for trading price action with enhanced details in each. While this script is useful, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
🔶 HOW TO GET ACCESS
You can see the Author's instructions below to get instant access to this indicator & our premium suite.
Gap Finder v1.0 by Nimit ChomnawangThis indicator shows locations of price gaps (or candle stick discontinuities). It prints out the labels "Gap" under the price bars where gaps occur. Asterisk " * " is used to pin point the bars with gaps.
ka66: Gap MarkersMarks bars having opening gaps, in either direction. Essentially where the opening price != closing price. The reference price defaults to close, but is configurable as an arbitrary source.
Larger gaps are easy to see visually but microgaps are more interesting, and indicate stronger shifts in sentiment, where enthusiasm towards a direction is increasing. They often signify the beginnings of strong trends.
Another signal when comparing open to high/low is a climactic type buy/sell.
Gapping is quite common in stocks, but not so much in 24H markets like Forex. It is expected this indicator has a much stronger value in these markets.
This indicator places up/down marks at the bottom of a chart, the rarity of these markers is a stronger signal than a higher frequency of occurrence.
Daily charts are likely the best spot for this indicator. Weeklies will almost always have gaps.
As usual, this is just one datapoint to consider among a confluence of others to verify a hypothesis.
Microgap Idea Credit, Price Action Course
Autocorrelation PlotA tool to plot auto correlation of time series, this is useful in identifying periodicity in a time series or signal.
Due to the limits of Pine Script you'll need to add it multiple times if you want autocorrelation beyond 55 periods. I have added it 4 times here for 220 periods.
For more information on Autocorrelation see: en.wikipedia.org
Note: There are 1 bar gaps every 55 because I wanted the labels to remain every 5, but you don't have to have gaps....
cd_VW_CxOverview
The cd_VW_Cx is a sophisticated trend analysis tool designed to quantify market momentum using Multi-Period VWAP (Volume Weighted Average Price). Unlike standard indicators, this script evaluates the current price relationship across multiple historical VWAP anchors to generate a real-time "Confidence Score" ranging from -100 to +100.
💡 Key Features
• Dynamic Anchoring: Seamlessly switch between Daily, Weekly, or Monthly open anchors to align with your trading style (Scalping, Day Trading, or Swing).
• Algorithmic Scoring (The Score Box): The indicator compares the current VWAP against historical periods.
o Score > +70: Strong Bullish Momentum.
o Score < -70: Strong Bearish Momentum.
• Polyline Rendering: Utilizes Pine Script v6’s advanced polyline architecture for high-performance, sleek visual plotting that doesn't clutter your chart.
• Institutional Support/Resistance: Historical VWAP levels are color-coded, often acting as "invisible" magnetic zones where institutional orders are clustered.
🛠 How to Trade with cd_VW_Cx
1. Momentum Confirmation: Look for the Score Box to turn Teal (Bullish) or Red (Bearish). This indicates that the current trend has statistical backing from multiple previous sessions.
2. The Breakout Signal: The script tracks price crossovers of the current VWAP. A "Bullish Breakout" combined with a high score is a high-probability entry signal.
3. Visual Guidance: Use the custom labels to identify which specific day/week/month’s VWAP is currently being tested as support or resistance.
⚙️ Customizable Settings
• Anchor Selection: Choose the calculation basis (Daily, Weekly, Monthly).
• Thresholds: Adjust the sensitivity of the Bullish/Bearish alerts (Default is +/- 70).
• Visuals: Full control over table positioning, font sizes, and color palettes to match your chart theme.
📢 cd_VW_Cx: Multi-Period VWAP Scoring & Analysis Guide
🔍 Overview & Visual Logic
The labels next to the VWAP levels dynamically change based on your Anchor selection:
• Daily Open: Displays the Day Name (e.g., Monday, Tuesday).
• Weekly Open: Displays the Week Number (1 – 52).
• Monthly Open: Displays the Month Number (1 – 12).
•
General View:
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🚦 How to Filter & Track Your Assets
You can monitor your favorite assets using two powerful methods:
1. Real-Time Alerts
Stay updated with TradingView notifications:
• Per Asset: Track a single pair.
• Watchlist Basis: Monitor your entire list at once. Alert Setup Guide:
2. Pine Screener Integration
Filter the market effortlessly using the Pine Screener. Pine Screener View:
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⚙️ Settings & Configuration
• Timeframe Selection: Your chart timeframe must be lower than the selected Anchor timeframe. (e.g., If "Daily Open" is selected, the timeframe should be lower than 1D).
• Anchor Choice: Select Daily, Weekly, or Monthly opens.
• Source Selection: Default value is set to ohlc4. Source Settings:
Filtering Criteria Examples:
• Bullish Filtering: Find assets with high momentum scores.
• Bullish Breakout (Single Criteria): Filters assets that have closed above the current VWAP level.
• Combined Strength (Score + Breakout): Filters assets that have a Score > 70 AND a fresh VWAP Breakout simultaneously.
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⚠️ Important Notes & Warnings
• Calculation Logic: The indicator calculates levels and scores on timeframes lower than the anchor. It is best used on timeframes that are close to but lower than the anchor.
• Avoid Extreme Gaps: Using a very low timeframe (e.g., 1m) with a very high anchor (e.g., Monthly) increases the risk of erroneous results.
• Optimization: The default score threshold of 70 is a starting point; I recommend adjusting it based on your own trading experience.
• The Power of Confluence: VWAP levels are naturally strong. Their significance increases when they coincide with institutional levels like PDH (Previous Day High), Session H/L, or HTF FVG.
• Experience Matters: A high score alone is not enough for an entry. Always combine this data with your personal strategy.
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💬 Community & Feedback
I would love to hear your suggestions regarding the scoring logic or visual improvements! Feel free to share your thoughts in the comments.
Happy Trading! 🚀
DWM HLOC, Mid & WicksSimple, yet effective.
1. Automatically calculate and projects key price levels from a previous period (Yesterday, OR Last Week / Month) onto the current trading session. It acts as an immediate Support & Resistance map based on historical price action.
2. Multi-Timeframe Logic
Modes --
Daily Mode: Projects yesterday's data onto today.
Weekly Mode: Projects last week's data onto the current week.
3. Key Levels Visualized The script calculates seven distinct price levels:
OHLC: Previous Open, High, Low, and Close.
Equilibrium (Mid): The exact 50% mark between the previous High and Low.
Wick Midpoints (New):
Upper Wick 50%: The midpoint between the High and the top of the body.
Lower Wick 50%: The midpoint between the Low and the bottom of the body.
4. Smart "Gap" Visualization The script uses unique starting points to help traders visualize market gaps:
Standard Levels (High, Low, Open, Mids): These lines originate from the Previous Period's Open, showing the full context of the level relative to time.
Close Level: This line originates from the Current Period's Open. This visually highlights the "Gap" (the jump in price between where the market closed previously and where it opened today).
5. Full Customization
Aesthetics: Every line can be individually toggled on/off.
Styling: Users can independently change the color, line style (Solid, Dotted, Dashed), and thickness for every specific level.
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator
The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets.
Key Features
Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles
Z-Score Normalization: Standardizes diverse data sources for meaningful comparison
Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics
Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance
21-Day Timeframe: Optimized for Long-term cycle analysis
What It Measures
Finance-Cycle (White Line)
Tracks traditional financial market health through:
Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU)
Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price
Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions
Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency)
Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates
Bitcoin-Cycle (Orange Line)
Tracks Bitcoin market positioning through:
On-Chain Metrics:
MVRV Ratio (Market Value to Realized Value)
NUPL (Net Unrealized Profit/Loss)
Profit/Loss Address Distribution
Technical Indicators:
Bitcoin price Z-score
Moving average deviation
Relative Strength:
ETH/BTC ratio (altcoin strength indicator)
Visual Elements
White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary)
Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish)
Zero Line: Neutral reference point
Interpretation
Cycle Alignment
Both positive: Risk-on environment, favorable for crypto
Both negative: Risk-off environment, caution warranted
Divergence: Potential opportunities or warning signals
Divergence Signals
Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions
Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance
Important Limitations
This indicator uses some technical and macro data but still has significant gaps:
⚠️ Limited monetary data - missing:
Funding rates (repo, overnight markets)
Comprehensive bond spread analysis
Collateral velocity and quality metrics
Central bank balance sheet details
⚠️ Basic economic coverage - missing:
GDP growth rates
Inflation expectations
Employment data
Manufacturing indices
Consumer confidence
⚠️ Simplified on-chain analysis - missing:
Exchange flow data
Whale wallet movements
Mining difficulty adjustments
Hash rate trends
Network fee dynamics
⚠️ No sentiment data - missing:
Fear & Greed Index
Options positioning
Futures open interest
Social media sentiment
The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management.
Settings
Offset: Adjust the horizontal positioning of the indicators (default: 0)
Timeframe: Fixed at 21 days for optimal cycle detection
Use Cases
Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets
Cycle timing: Identify potential tops and bottoms in both cycles
Risk assessment: Gauge overall market conditions across asset classes
Divergence trading: Spot opportunities when cycles diverge significantly
Portfolio allocation: Balance traditional and crypto assets based on cycle positioning
Technical Notes
Uses Z-score normalization with varying lookback periods (40-60 bars)
Applies HMA (Hull Moving Average) smoothing to reduce noise
Asymmetric multipliers for upside/downside movements in certain metrics
Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds
21-day timeframe optimized for cycle analysis
Strategy Applications
This indicator is particularly useful for:
Cross-asset allocation - Decide between traditional finance and crypto exposure
Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles
Regime changes - Detect shifts in market leadership and correlation patterns
Risk management - Reduce exposure when both cycles turn negative
Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
VMS Multi Index Options Buying IndicatorDetailed User Guide
This system is a multi-faceted toolkit designed for traders who use options. It synthesizes information from the underlying asset, specific call and put options, and market structure to generate a consolidated view.
Core Philosophy:
The tool is built on the principle of "Multi-Timeframe, Multi-Indicator Confirmation." It avoids relying on a single signal. Instead, it seeks confluence between momentum, trend, market structure, and volume data across different components (underlying, call, and put) before suggesting a trade.
1. The Legal Agreement & Setup
Getting Started: The first thing you will see is a mandatory disclaimer. You must type "agree" into the input field to activate the indicator and acknowledge the associated risks.
Defining Your Instruments: The core of the setup is specifying the two options you want to analyze.
Call Option Symbol: Input the specific symbol for the call option you are tracking.
Put Option Symbol: Input the specific symbol for the put option you are tracking (typically, these would be similar strike prices and expiry).
2. Understanding the Primary Signal
The main trading signal is derived from a multi-index analysis applied separately to your chosen call and put options.
The Histogram (Momentum Gauge):
You will see two histograms (bar charts) on the main panel.
The top section (above the zero line) represents the Call Option's momentum.
The bottom section (below the zero line) represents the Put Option's momentum.
Interpretation:
Green Bars (Call) / Red Bars (Put): Indicate a "BUY" signal for that respective option.
Yellow Bars (Call) / Orange Bars (Put): Indicate a "WEAK" or cautionary signal.
Gray Bars: Indicate "NO TRADE" conditions.
The height and position of the bars show the strength and direction of the momentum oscillator.
The Signal Dashboard (Your Command Center):
A table provides a numerical breakdown of the signal strength. This is where you get the "why" behind the colors.
Overall Signal: The final verdict ("BUY CALL", "WEAK PUT", "NO TRADE").
Strength (/7): A score out of 7 for each option. A score of 4 or higher is considered a strong signal. A score of 3 is weak. This score is an aggregate of several factors:
Momentum Oscillator Value & Direction
Momentum above a defined threshold
Short-term vs. Long-term trend alignment
"Squeeze" state (a volatility contraction indicator)
A bonus for fresh momentum crossovers.
Key Takeaway: Look for the option with the higher strength score, and only consider trades when the score is 3 or above, with a preference for scores of 4+.
3. Integrating Market Context
The indicator overlays several other analytical tools to provide context for the primary signal. Confluence with these tools increases the probability of a successful trade.
Support & Resistance (S/R) Lines:
Multiple colored horizontal lines are drawn on the chart, representing key support and resistance levels derived from monthly, weekly, and daily data.
How to Use: Observe the price action relative to these levels. A "BUY CALL" signal that occurs near a major support line (e.g., L0, L1, L2) is significantly more powerful. Conversely, a "BUY PUT" signal near a major resistance line (e.g., L8, L9, L10) carries more weight.
Trend Filter (Intraday Level):
A thick line that acts as a dynamic trend filter.
How to Use: This is a simple but effective filter.
If price is above this line, it suggests a bullish intraday bias. Favor "BUY CALL" signals.
If price is below this line, it suggests a bearish intraday bias. Favor "BUY PUT" signals.
Ignore or be very cautious with signals that go against the Trend Filter.
Volume Analysis Dashboard:
A separate table provides a deep dive into volume data for both the underlying asset and your specified options.
How to Use: This confirms whether money flow agrees with your technical signal.
A "BUY CALL" signal is reinforced if the underlying and the call option are seeing higher buy volume % and more bullish candles.
A "BUY PUT" signal is reinforced if the underlying and the put option are seeing higher buy volume % and more bullish candles.
Call-Put Spread Analysis:
This measures the difference in price between your call and put options.
How to Use:
A rising or positive spread suggests market sentiment is becoming more bullish (calls are gaining value faster than puts).
A falling or negative spread suggests market sentiment is becoming more bearish (puts are gaining value faster than calls).
Use this to confirm the bias of your primary signal.
4. Entry Execution & Risk Management
Entry Timing: The ideal entry occurs when the primary signal triggers ("BUY CALL/PUT") and you have confluence from at least 2 of the 3 contextual factors:
Price is respecting a key S/R level.
The Trend Filter aligns with the signal direction.
Volume and Spread data confirm the momentum.
Built-in Alerts: You can set alerts for the "Buy Call" and "Buy Put" conditions so you are notified when a strong signal triggers.
Risk Management: This is paramount. The indicator does not provide stop-loss or take-profit levels. You must employ your own risk management strategy, such as:
Placing a stop-loss below the recent swing low (for calls) or above the recent swing high (for puts).
Using a fixed percentage or rupee-based risk per trade.
Quick-Reference Cheat Sheet
Step Component What to Look For Action
1 Primary Signal Histogram color & "Overall Signal" in dashboard. Green/Red: Strong signal. Yellow/Orange: Weak signal. Gray: No trade.
2 Signal Strength "Strength (/7)" score in dashboard. ≥4: Strong. =3: Weak/Cautious. <3: Ignore.
3 Market Structure Price relative to S/R lines & Trend Filter. Bullish Confluence: Signal + Price near support + Above Trend Filter.
Bearish Confluence: Signal + Price near resistance + Below Trend Filter.
4 Volume Confirmation Volume Dashboard. Underlying and option should show higher Buy Volume % and more Bullish Candles in the direction of your trade.
5 Sentiment Check Call-Put Spread. Rising/Positive Spread: Confirms bullish bias.
Falling/Negative Spread: Confirms bearish bias.
6 Final Decision Composite of all factors. High-Probability Trade: Strong primary signal (Step 1 & 2) with confluence from Steps 3, 4, and/or 5.
7 Execute & Manage Your Trading Plan. Enter trade. Always use a stop-loss. Take profits based on your predefined plan. The Illusion of the "Perfect Indicator"
The human mind, especially when faced with the complexity and stress of financial markets, seeks certainty. It wants a system that says, "Buy here, sell there, and you will win." This desire creates a dangerous vulnerability: the belief that a tool can replace judgment.
The final note, "This system is designed to inform your decisions, not to make them for you," is a direct antidote to this illusion. Here’s a breakdown of what that truly means:
1. The Tool is a Compass, Not an Autopilot
Think of this indicator as a high-tech compass on a ship. It can tell you:
The direction of the wind (momentum).
The depth of the water (support/resistance).
The set of the currents (trend).
The activity in other nearby vessels (volume).
But it cannot:
Steer the ship for you.
Decide when to reef the sails in a sudden storm (volatility spike).
Choose the final destination (your financial goals).
Abandon ship if it starts to sink (your risk management).
You are the captain. The tool provides superb data, but you must synthesize it with experience, intuition, and an overarching strategy. Blindly following any signal, no matter how strong, is like setting your autopilot in a crowded shipping lane and going to sleep.
2. The Gap Between Signal and Execution
A "BUY CALL" signal is a moment in time. Your execution is another. The market is a dynamic, living entity. What was true at the close of the candle when the signal generated may not be true 30 seconds later when your order is placed.
Slippage: The price you get vs. the price you see.
Gaps: The market can open beyond your risk parameters.
Latency: The signal is historical; you are trading in the present.
Your skill lies in navigating this gap. The indicator highlights a potential opportunity, but your discipline in order placement, patience for the right entry, and ability to abort a setup that "looks wrong" in real-time are what separate professionals from amateurs.
3. The Context is King (And the Indicator Can't See Everything)
No indicator has access to the full context of the market.
Macro-Events: Is there a central bank announcement in 30 minutes? The indicator doesn't know. You should.
Earnings: Did a major sector company just report disastrous earnings, changing the sentiment for the entire index?
Global Cues: Are international markets crashing?
A signal might be technically perfect but fundamentally suicidal given the broader context. You are the one who must bring this macro-awareness to the table. The tool provides a micro-view; you provide the macro-view.
4. The Psychology of the Trader is the Ultimate System
This is the most important element. You can have the best tool in the world, but if your mind is not trained, you will lose.
Confirmation Bias: The tool gives a "WEAK PUT" signal, but you are already bearish. You interpret it as a "STRONG PUT" and over-leverage.
Hope & Fear: A trade goes against you. The indicator might still be holding its signal, but your fear triggers an early exit. Or conversely, a "NO TRADE" signal appears, but your hope for a win makes you enter anyway.
Revenge Trading: After a loss, you ignore the "NO TRADE" signal and jump into the next setup to "win your money back."
The indicator is a logic-based system. Trading is a psychological endeavor. The tool can suggest what to do, but it cannot give you the discipline to follow through or the wisdom to deviate when necessary.
In Essence:
Using this powerful system without the final note in mind is like giving a masterfully crafted, precision sniper rifle to someone who has never been taught to breathe steadily, account for wind, or manage their trigger squeeze. The rifle is capable, but the outcome is entirely dependent on the skill and discipline of the person holding it.
Therefore, use the tool to:
Focus your attention on high-probability setups.
Provide a framework for your analysis.
Save time on manual calculations.
But never abdicate your responsibility to:
Apply sound risk management on every single trade.
Maintain emotional discipline.
Consider the broader market context.
Make the final call.
The ultimate goal is not to find a system you can follow blindly, but to use tools like this to become a more informed, disciplined, and self-aware trader. The indicator is a part of your edge; you are the source of it.
5M Gap Finder — Persistent Boxes (Tiered) v65 M gap finder, using 3 different types of gaps: Tier Definition Tightness Frequency Use Case
Tier A (Strict) Gap ≥ 0.10%, body ≥ 70% of range Rare Institutional-strength displacement
Tier B (Standard) Gap ≥ 0.05%, body ≥ 60% of range Medium Baseline trading setup
Tier C (Loose) Gap ≥ 0.03%, no body condition Common Data collection and observation
Contract Interest Turnover T3 [T69]Overview
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Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
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- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
----------
1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
-------------
- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
---------------------------------
- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
---------------------------------
In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
----------------------
Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
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- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
-----------
- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
-----
- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
------
- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
----------
Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
Enhanced Daily Sentiment & Auction Area Trading StrategyDetermine Daily Sentiment (Anchor Chart - Daily TF):
Analyze Yesterday's Daily Candle: Look at the previous day's daily candlestick (high, low, open, close). This is the "most important information."
Establish Bias: If yesterday's candle was bullish (closed higher), the bias for today is generally long (approx. 80% of the time). If bearish, the bias is short.
Moving Average Context: Note if the daily price is above or below its short-term moving average (e.g., 21 or 50 MA). This should align with the candle's bias (e.g., bullish daily candle above its MA).
Pre-Market & Opening Analysis (Information Gathering):
Check for Gaps: Observe if the market is gapping up or down in the pre-market session relative to yesterday's close. This provides an early clue to current sentiment.
Consider Overall Sentiment: Briefly factor in relevant news or overarching market sentiment (e.g., data releases, overall market feeling from yields, gold etc.). Trading Window: Focus primarily on trading within the first hour of the U.S. market open, as this is when volatility is typically highest, which the strategy relies on.
Setup 5-Minute Chart for Execution (Trading TF - 5-min):
Apply Moving Average: Use the same short-term moving average (e.g., 21 or 50 MA) as on the daily chart.
Seek Alignment (Crucial): The 5-minute chart's trend and price action relative to its MA must align with the daily chart's bias and MA relationship.
If Daily bias is LONG (price above daily MA), the 5-minute chart should also show price establishing itself above its 5-min MA, ideally with a similar "45-degree angle" uptrend.
If Daily bias is SHORT (price below daily MA), the 5-minute chart should also show price establishing itself below its 5-min MA, with a similar downtrend. If there's no clear alignment between the daily and 5-minute chart structure/MA, do not trade.
Identify the "Auction Area" (Value/Congestion) on the 5-Minute Chart:
This is a recent area of congestion, a small support/resistance flip, or where price has paused, consolidated, and is retesting, often near the 5-minute MA.
Uptrend (Long Bias): Look for a pullback (a small "V" shape dip) towards the 5-minute MA or a recent small resistance-turned-support area. This is the "auction retest" before a potential breakout higher.
Downtrend (Short Bias): Look for a pullback rally (an inverted "V" shape) towards the 5-minute MA or a recent small support-turned-resistance area.
First Presented Fair Value Gap [TakingProphets]🧠 Indicator Purpose:
The "First Presented Fair Value Gap" (FPFVG) by Taking Prophets is a precision tool designed for traders utilizing Inner Circle Trader (ICT) concepts. It automatically detects and highlights the first valid Fair Value Gap (FVG) that forms between 9:30 AM and 10:00 AM New York time — one of the most critical windows in ICT-based trading frameworks.
It also plots the Opening Range Equilibrium (the average of the previous day's 4:14 PM close and today's 9:30 AM open) — a key ICT reference point for premium/discount analysis.
🌟 What Makes This Indicator Unique:
This script is highly specialized for early session trading and offers:
Automatic Detection: Finds the first Fair Value Gap after the 9:30 AM NYSE open.
Clear Visualization: Highlights the FVG zone and labels it with optional time stamps.
Equilibrium Line: Plots the Opening Range Equilibrium for instant premium/discount context.
Time-Sensitive Logic: Limits detection to the most volatile early session (9:30 AM - 10:00 AM).
Extension Options: You can extend both the FVG box and Equilibrium line out to 3:45 PM (end of major session liquidity).
⚙️ How the Indicator Works (Detailed):
Pre-Market Setup:
Captures the previous day's 4:14 PM close.
Captures today's 9:30 AM open.
Calculates the Equilibrium (midpoint between the two).
After 9:30 AM (New York Time):
Monitors each 1-minute candle for the creation of a Fair Value Gap:
Bullish FVG: Low of the current candle is above the high two candles ago.
Bearish FVG: High of the current candle is below the low two candles ago.
The first valid gap is boxed and optionally labeled.
Post-Detection Management:
The FVG box and label extend forward in time until 3:45 PM (or the current time, based on settings).
If enabled, the Equilibrium line and label also extend to help with premium/discount analysis.
🎯 How to Use It:
Step 1: Wait for market open (9:30 AM New York time).
Step 2: Watch for the first presented FVG on the 1-minute chart.
Step 3: Use the FPFVG zone to guide entries (retracements, rejections, or breaks).
Step 4: Use the Opening Range Equilibrium to determine premium vs. discount conditions:
Price above Equilibrium = Premium market.
Price below Equilibrium = Discount market.
Best Application:
In combination with ICT Killzones, especially during the London or New York Open.
When framing intraday bias and identifying optimal trade locations based on liquidity theory.
🔎 Underlying Concepts:
Fair Value Gaps: Price imbalances where liquidity is likely inefficient and future rebalancing can occur.
Opening Range Equilibrium: Key ICT price anchor used to separate premium and discount conditions post-open.
Time-Gated Setup: Limits focus to early session price action, aligning with inner circle trader timing models.
🎨 Customization Options:
FVG color, label visibility, and label size.
Opening Range Equilibrium line visibility and label styling.
Extend lines and boxes to 3:45 PM automatically for full session tracking.
✅ Recommended for:
Traders applying Inner Circle Trader (ICT) models.
Intraday scalpers or day traders trading the New York session open.
Traders who want to frame early session bias and liquidity traps effectively.
CLS Patterns + Price Action Levels📌 Key Features:
✅ CLS Candle Patterns Detection:
CLS Type 1 (Sweeps & Closes Opposite) – Confirms liquidity sweeps with opposite direction close.
CLS Type 2 (Sweeps but No Opposite Close) – Identifies liquidity traps without full reversal.
CLS Type 3 (Engulfing Candles) – Strong momentum shifts with engulfing price action.
CLS Type 4 (Order Block Reversals) – Institutional order flow recognition.
✅ Institutional & Price Action Levels:
250 Pip Institutional Levels – Major S&R zones for Forex & Indices.
Minor Quarter Points (25 Pips) – Intraday precision for refined entries.
✅ Liquidity Imbalance & Order Flow Gaps:
Detects early impulse moves & liquidity voids
Highlights areas of market inefficiency & potential reversals
✅ Higher Timeframe EMA for Trend Confirmation:
Customizable Weekly 3 EMA Overlay
Dynamic color change based on price action
✅ Built-in Alerts for CLS Patterns:
Real-time alerts for CLS buy/sell signals
Configurable notifications for trade execution
🎯 How to Use:
1️⃣ Enable CLS Pattern Signals to spot liquidity sweep candles with directional confirmation.
2️⃣ Use Institutional & QP Levels to identify key areas where price is likely to react.
3️⃣ Monitor Liquidity Imbalances to detect inefficient price moves that may fill.
4️⃣ Confirm Trend with HTF EMA to trade with momentum.
5️⃣ Set Alerts for CLS patterns and key price levels to stay ahead of the market.
This indicator is ideal for Forex, Indices, and Crypto traders looking to refine their entries with precise price action confirmations.
