Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
Search in scripts for "BOS"
MomentumQ MS/OBMomentumQ MS/OB - Market Structure & Order Blocks Indicator
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The MomentumQ MS/OB Indicator is a professional-grade tool designed to help traders analyze market structure, institutional order flow, and dynamic support/resistance levels.
Unlike traditional indicators, MomentumQ MS/OB leverages advanced liquidity analysis to identify key market zones, enabling traders to spot high-probability trade setups with institutional-grade precision.
A unique advantage of this indicator is its ability to generate more order blocks across all timeframes using a custom lookback setting. This feature enhances intraday order block creation, giving traders a clearer view of market liquidity shifts in lower timeframes while remaining effective in higher timeframes.
Additionally, the dynamic support and resistance plotting system automatically adjusts based on market structure, ensuring traders have a real-time, adaptive view of key price levels. Unlike static support/resistance indicators, these dynamic zones shift based on price action, helping traders identify breakouts, retests, and liquidity traps more accurately.
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Key Features
1. Market Structure & Institutional Order Blocks
Detects institutional bullish and bearish order blocks, helping traders locate high-liquidity zones.
Real-time zone updates keep traders focused on the most relevant price levels.
Generates more order blocks in every timeframe, making it ideal for intraday and long-term trading strategies.
2. Smart Dynamic Support & Resistance Detection
Uses historical price action to identify high-impact support and resistance zones dynamically.
Updates automatically in response to price action, keeping traders focused on valid trading zones.
Helps traders anticipate breakouts, reversals, and liquidity traps in real time.
3. Institutional-Grade Price Action Analysis
Advanced algorithmic validation filters weak order blocks, ensuring only the strongest setups are displayed.
Customizable settings allow traders to adjust the indicator’s sensitivity based on their trading style.
4. Professional-Level Charting & Customization
Fully adjustable visuals – Traders can toggle features such as:
Bullish/Bearish Order Block Zones
Boundary Lines
Market Structure Levels
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How It Works
Institutional Order Blocks
The indicator scans for swing highs/lows and detects liquidity zones based on institutional price movements.
Bullish Order Blocks indicate where institutions accumulated buy orders.
Bearish Order Blocks indicate where institutions placed aggressive sell orders.
The lookback setting enhances detection, allowing traders to see more order block formations across multiple timeframes.
Market Structure & Dynamic Support/Resistance
The algorithm continuously evaluates price action and key rejection levels, dynamically adjusting support and resistance zones.
Unlike traditional static support and resistance levels, these zones shift with real-time market conditions.
Helps traders determine trend direction and anticipate market reversals.
Order Block Validation
Only high-probability order blocks are displayed, eliminating weak signals and providing stronger trade opportunities.
The indicator produces more order blocks at lower timeframes, allowing for better intraday trade execution insights.
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How to Use This Indicator
Confirm institutional trading areas by analyzing bullish and bearish order block zones.
Use dynamic support and resistance levels to identify high-probability trade zones for breakouts and reversals.
Adjust the lookback setting to control the frequency of order block detection, optimizing for intraday vs. long-term trading strategies.
Combine with price action strategies to validate trade entries and exits using breakouts, retests, and rejection signals.
This indicator works for all markets, including Forex, Stocks, Crypto, Futures, and Commodities.
Supports multiple timeframes, making it suitable for scalping, swing trading, and position trading.
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Why Is This Indicator Valuable?
Unlike traditional indicators that only plot support/resistance or trend-based signals, MomentumQ MS/OB provides a complete institutional-grade trading system:
Advanced Order Block Detection – Not just generic support and resistance, but real institutional footprints.
Smart Market Structure Recognition – Tracks trend shifts before they happen.
Adjustable Lookback Feature – Generates more order blocks on lower timeframes for precise intraday trading.
Dynamic Support and Resistance Zones – Adapts in real-time, ensuring accurate trade setups.
Customizable and Professional-Grade – Suitable for traders looking for high-probability setups.
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Example Trading Strategies
1. Order Block & Break of Structure (BoS) Confirmation
Wait for price to break structure near an institutional order block.
Enter on the first retest of the order block for a high-probability trade setup.
Set stop-loss behind the order block and target the next key level.
2. Using Dynamic Support & Resistance for Reversal Trades
If price reaches a dynamic resistance level, wait for bearish confirmation such as a rejection wick or engulfing candle.
Enter short with stop-loss above resistance and target the next dynamic support level.
Works for long trades at dynamic support levels as well.
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Disclaimer
This indicator does not guarantee profits and should be used as part of a complete trading strategy. Past performance is not indicative of future results.
Momentum TheoryMomentum Theory is a mechanical pattern-recognition tool for rapid multi-timeframe analysis. It utilizes higher timeframe breakout levels and peak levels to quickly identify multi-timeframe Swing Points that help in setting a bias, formulating a setup, and executing an entry. It takes advantage of the fractal nature of the market by applying one concept for top-down analysis that scalpers, day traders, and swing traders can use.
✅ Rapid Multi-Timeframe Analysis
✅ Mechanical Pattern-Recognition Used to Filter Setups
✅ For Scalpers, Day Traders, and Swing Traders
--- 📷 INDICATOR GALLERY ---
--- ⚡ ANALYSIS FEATURES ---
✔ Multi-Timeframe Map
Displays breakout levels, peak levels, bar flow, and swing points of higher timeframes. Read how the market is moving with a quick glance.
✔ Bar Flow
Displays whether the previous higher timeframe bar closed in breakout, fakeout, inside, or outside. Aids to quickly read market flow.
There are 4 Bar Types: Breakout , Fakeout , Inside , Outside
✔ Momentum Cycles
Displays which part of the Momentum Cycle the timeframe is currently in to anticipate future movement.
Read more information below at Momentum Theory Concept
✔ Quick Analysis
Calculates a percentage bias based on the position of the higher timeframes to set an overall bias. Great for when trying to narrow down a large watchlist to a few pairs.
✔ Market Snapshots
Takes a snapshot of the entire market on all valid trigger bars for future review. Tracks Quick Analysis, Momentum Cycles, and Bar Flow at that exact point in time.
Limited to the last 150 entry bars. Use TradingView Bar Replay to access more history.
--- ⛰️ LEVELS FEATURES ---
✔ Breakout Bias
Shows the location of all the higher timeframe breakout levels and if price is currently bullish or bearish. Breakout bias shows the overall bias of the timeframe.
✔ Peak Bias
Shows which peak level has been triggered of the higher timeframe and if price closed above or below it. Peak bias shows the current momentum of the timeframe.
✔ Trigger Bars
Displays when the lower and middle timeframes are moving in alignment. Spot when the lower timeframes are starting to move together.
⚠️ Trigger bars are an indication of breakout bias alignment at the lowest timeframes. They are NOT signals to be taken blindly without further analysis.
✔ Automatic Range Detection
Detects if the current and higher timeframe is in a range and plots those levels on the chart.
Ranges are created when the following 3 bar scenarios occur:
Inside Bar - Peaks of current bar closed inside previous bar's peaks
Outside Bar - Peaks of current bar are outside previous bar's peaks, but closed inside.
Mirrored Fakeout Bars - 2 opposite facing fakeout bars in a row
✔ Key Levels Highlights
Highlights the relevant levels for each timeframe and if current price is above or below them.
✔ Visual Elements
Highlights key elements like breakout level flips, fakeout bars, intraday session trading times, off session times, and higher timeframe swing points.
--- 🔥 OTHER FEATURES ---
✔ Built-In Alerts
Multiple built-in alert types to notify you of significant events in the market.
✔ Dark and Light Modes
Adjustable theme colors to trade your chart the way you want.
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. No initial settings to configure. Just add it to your chart and start trading!
H4 - Monthly Setups / Weekly Momentum
H1 -Weekly Setups / Daily Momentum
M15 - Daily Setups / H8 Momentum
M5 -H8 Setups / H2 Momentum
M3 - H4 Setups / H1 Momentum
M1 - H1 Setups / M15 Momentum
--- 💡 MOMENTUM THEORY CONCEPT ---
The best trade setups are found at swing points for 3 reasons:
They are the highest probability point the market will continue pushing.
They provide the best Stop Loss protection.
They offer the greatest Risk-to-Reward.
The goal of trading is to identify when these swing points occur to take the best trade setups.
Every swing point consists of a push towards a peak, a peak formation, and a push away from a peak. There is no way to know how long a push towards or away from a peak will last, but the peak formation can be identified by 2 elements:
A fakeout of a previous peak level
A flip of its last breakout level
We can track the movement of the market by looking at which peak level is triggered relative to its breakout level. How price behaves at the previous peak levels shows where momentum is headed. It continues to build towards a new peak until it fakes out the previous peak level and flips its breakout level, creating a swing point.
Swing points on the higher timeframes show up as multiple swing points on the lower timeframes, but they often won't be moving in sync. When 2 timeframe swing points get in alignment, the market will move smoothly together. You find the lower timeframe swing point the exact same way you find the higher timeframe one.
The market is constantly moving from one swing point to the next in a repeatable cycle. By using higher timeframe breakout levels and peak levels triggered, we can track where we are in this cycle to anticipate its future movement. This is the Momentum Cycle and it repeats itself over and over.
By using the exact same concept, we can identify mechanical alignment patterns on the lower timeframes to create setups that work in every phase of the market cycle. Identify your own patterns or use the suggested ones below. Watch the Live Trading Examples to see how these patterns are used.
✔ Range Setups
✔ Continuation Setups
✔ Reversal Setups
--- 🧩 EXTENDING MOMENTUM THEORY ---
If the best trade setups are found at swing points, then that must mean that every trading strategy that's worth learning must have some type of method to identify that specific move. Since Momentum Theory specializes in identifying the swing point, it can easily fit into most trading strategies by removing discretion and inserting a mechanical process to filter your existing strategy's setups. By using only non-negotiable levels such as Previous Day High / Low, you can convert most discretionary patterns into mechanical ones to hopefully help increase your consistency. My hope is that you can build your own library of mechanical setups that are specific to your strategy that go beyond the ones that I've provided.
--- 📝 HOW TO USE ---
⚠ Click on "Indicators > Invite-Only > Momentum Theory" to add it to your charts.
1) Determine directional bias on the higher timeframe chart.
2) Identify the cycle and setup pattern on the middle timeframe chart and wait for the momentum timeframe to be triggered.
3) Execute entries when the lower timeframes are aligned. Market is fractal and you can pick whatever timeframe you want for entry. Trade as simple or complex as you want.
⚠️ Trigger bars are an indication of breakout bias alignment at the lowest timeframes. They are NOT signals to be taken blindly without further analysis.
--- 🎞️ LIVE TRADING EXAMPLES ---
Market Analysis with Momentum Theory
Day Trading with Mechanical Setups (using Momentum Theory Scanner)
Momentum Theory Scalping Concepts - Asia Session - GOLD
MTF Fractal Bias Confluence DetectorMTF Fractal Bias Confluence Detector
This indicator, the MTF Fractal Bias Confluence Detector, is based on the idea that the market exhibits fractal behaviour. The origin of the idea traces back to 1963, when Benoit Mandelbrot analyzed the fluctuations in cotton prices over a time series starting in 1900, discovering that price changes exhibited scale-invariant patterns. This means that the curve representing daily price changes mirrored the shape of monthly price changes, highlighting the fractal nature of market behaviour. When applied to swing points across multiple timeframes (MTF), this concept suggests that swing points demonstrate similar patterns regardless of the timeframe being analyzed. These self-similar fractal structures provide traders with insights into market reversals and trends, making them a powerful tool for multi-timeframe analysis.
A Swing Point is made up of three main parts: a move away from the last Break level; forming a peak (pivot point) with a Fakeout of the peak (explained through an example later); and a subsequent move away from it. These swing points recur across all timeframes as part of cyclical momentum patterns, meaning each swing point gives rise to a new cycle of market movement. Due to the fractal nature of the market, larger cycles encompass multiple smaller ones.
The theory behind the Fractal Bias Confluence Detector utilizes the idea that the market movements are fractal in nature and illustrates how such swing points can be identified across MTFs. To do so, we examine the Peak Fakeouts within these cycles, as they form. It is not possible to know in advance how long each of these moves will last, but a Swing Point will often occur with a Peak Fakeout. Therefore, the most critical element is to identify the Peak Fakeout.
The snapshot below captures a Peak Fakeout, as discussed earlier.
Similarly, the following snapshot shows various possible breakdowns of Higher Time Frame (HTF) cycles into smaller Lower Time Frame (LTF) movements. The chart contains a white table(not part of the indicator and shown for illustration purposes only).
To further illustrate. Consider the combination of Time Frames (TF) from the 2nd row (from the above snapshot). Cycle TF (1M), Setup TF (1W), Momentum TF (1D) etc.
Price movements in the 1M TF highlight the direction in which HTF traders are pushing the market. Often, when markets have broken out of a level, they tend to form a peak and can then pull back towards the prior breakout level. Once the pullback is beyond the last breakout level, in the opposite direction, we may say the peak formation is created, and directional bias has changed. This is also called Peak Fakeout. Due to the fractal nature of the market, Swing Points on the HTF will often constitute multiple Swing Points on the LTF, though they are not always in sync. However, after such peak formation, there is a high probability that the price might move away from the peak for at least 1 candle (in the cycle TF). This theory illustrates that once a new cycle is in play, we can then look at 1W (Setup TF) to look for possible in-sync movements, at least within that 1 candle of the HTF. Repeating the same for further lower TFs, we may arrive at a confluence of Fractal Bias and see how the movements in LTF are driven by the HTF momentum.
Another example within the chart:
Note: The above examples are just for illustration purposes, and other permutations and combinations of movements across multiple TFs are also possible.
This indicator aims to help users identify such fractal-bias-confluences, so that they can leverage the fractal nature of the market to get a holistic view. To do so, the indicator displays how the market has moved across multiple time frames, with respect to different historical levels.
Features:
1. The bias summary table
The following snapshot depicts the bias summary table at the bottom right of the chart.
1.1. Workings: The table will display, for various TFs, in the first four (starting from "current" to Prev ) rows, one of the following.
"F/H" , " Acronym for the failed break of the previous high",
"F/L" , " Acronym for the failed break of the previous low",
"B/H" , " Acronym for the break of the previous high",
"B/L" , " Acronym for the break of the previous low",
"IN" , " Acronym for an inside candle (never broke high or low of perv candle)",
"OT" , " Acronym for an outside candle (broke both high and low of previous candle and closing price is in between previous high and low)".
Note: these acronyms are customizable according to the user's choice of terminology in any language, as shown in the snapshot below.
1.1.1 In the above snapshot, the 1st row, called "Current", shows how the current candle is evolving with respect to the previous one. The "previous" row shows how the previous candle closed with respect to the pre-previous one. The next two rows represent the bias of the pre-previous and pre-pre-previous in a similar manner. By default, the bias is updated in real-time, even for the already closed historical candles. For example, if the previous 4H candle closed as a B/H and the current price then comes below the pre-previous 4H candle high, then the bias of the previous candle will get updated to F/H. This informs the user that the break above the pre-previous high has failed. However, the user has the option to turn this off. The information in these four rows shows the user how the market is moving currently and how it evolved before reaching the current price levels.
Note: The calculation done by the indicator is to keep track of how the price is moving with respect to the last candle levels in real-time. This means if the price first goes above the previous high and then goes below the previous low, the indicator is equipped to display what happened in the most recent time. The snapshot below shows the option to turn on/off such updates in the bias summary table.
Note: While the bias summary table is turned on, the user also has the option to turn off Prev and Prev rows, as shown in the snapshot below.
1.1.2 The 2nd to last row, called CL/CS(Consecutive Long/Short), shows whether consecutive (2+) breaks of high/low happened or not in one direction without taking out the previous candle's range in the opposite direction. When conditions are met, it will show the number of times the price has been pushed in one direction (in the above manner), followed by "L" for long and "S" for short, for each TF, for example, "4L". It gets updated in real-time for each push in the same direction. Furthermore, a good analogy of "4L" on an HTF is 4 consecutive Break of Structure (BOS) (in the same direction) on LTF, without a Change of Character (CHoCH). Another example would be Stacey Burke's 3 consecutive rises that can be mapped in the indicator, if the conditions are met for "3L" for a given TF.
1.1.3 The last row, FRC/FGC, stands for the first red/green candle. It shows whether the last candle of a TF has closed as green (i.e., close>open) after posting two red candles (i.e., close
QuantFrame | FractalystWhat’s the purpose of this indicator?
The purpose of QuantFrame is to provide traders with a systematic approach to analyzing market structure, eliminating subjectivity, and enhancing decision-making. By clearly identifying and labeling structural breaks, QuantFrame helps traders:
1. Refine Market Analysis: Transition from discretionary market observation to a structured framework.
2. Identify Key Levels: Highlight important liquidity and invalidation zones for potential entries, exits, and risk management.
3. Streamline Multi-Timeframe Analysis: Track market trends and structural changes across different timeframes seamlessly.
4. Enhance Consistency: Reduce guesswork by following a rule-based methodology for identifying structural breaks.
How Does This Indicator Identify Market Structure?
1. Swing Detection
• The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure.
2. Structural Break Validation
• A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish).
• Break Confirmation Process:
To confirm the break, the indicator applies the following rules:
• Valid Swing Preceding the Break: There must be at least one valid swing point before the break.
3. Numeric Labeling
• Each confirmed structural break is assigned a unique numeric ID starting from 1.
• This helps traders track breaks sequentially and analyze how the market structure evolves over time.
4. Liquidity and Invalidation Zones
• For every confirmed structural break, the indicator highlights two critical zones:
1. Liquidity Zone (LIQ): Represents the structural liquidity level.
2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold.
What do the extremities show us on the charts?
When using QuantFrame for market structure analysis, the extremities—Liquidity Level (LIQ) and Invalidation Level (INV)—serve as critical reference points for understanding price behavior and making informed trading decisions.
Here's a detailed explanation of what these extremities represent and how they function:
Liquidity Level (LIQ)
Definition: The Liquidity Level is a key price zone where the market is likely to retest, consolidate, or seek liquidity. It represents areas where orders are concentrated, making it a high-probability reaction zone.
Purpose: Traders use this level to anticipate potential pullbacks or continuation patterns. It helps in identifying areas where price may pause or reverse temporarily due to the presence of significant liquidity.
Key Insight: If a candle closes above or below the LIQ, it results in another break of structure (BOS) in the same direction. This indicates that price is continuing its trend and has successfully absorbed liquidity at that level.
Invalidation Level (INV)
Definition: The Invalidation Level marks the threshold that, if breached, signifies a structural shift in the market. It acts as a critical point where the current market bias becomes invalid.
Purpose: This level is often used as a stop-loss or re-evaluation point for trading strategies. It ensures that traders have a clear boundary for risk management.
Key Insight: If a candle closes above or below the INV, it signals a shift in market structure:
A closure above the INV in a bearish trend indicates a shift from bearish to bullish bias.
A closure below the INV in a bullish trend indicates a shift from bullish to bearish bias.
What does the top table display?
The top table in QuantFrame serves as a multi-timeframe trend overview. Here’s what it provides:
1. Numeric Break IDs Across Multiple Timeframes:
• Each numeric break corresponds to a confirmed structural break on a specific timeframe, helping traders track the most recent breaks systematically.
2. Trend Direction via Text Color:
• The color of the text reflects the current trend direction:
• Blue indicates a bullish structure.
• Red signifies a bearish structure.
3. Higher Timeframe Insights Without Manual Switching:
• The table eliminates the need to switch between timeframes by presenting a consolidated view of the market trend across multiple timeframes, saving time and improving decision-making.
What is the Multi-Timeframe Trend Score (MTTS)?
MTTS is a score that quantifies trend strength and direction across multiple timeframes.
How does MTTS work?
1. Break Detection:
• Analyzes bullish and bearish structural breaks on each timeframe.
2. Trend Scoring:
• Scores each timeframe based on the frequency and quality of bullish/bearish breaks.
3. MTTS Calculation:
• Averages the scores across all timeframes to produce a unified trend strength value.
How is MTTS interpreted?
• ⬆ (Above 50): Indicates an overall bullish trend.
• ⬇ (Below 50): Suggests an overall bearish trend.
• ⇅ (Exactly 50): Represents a neutral or balanced market structure.
How to Use QuantFrame?
1. Implement a Systematic Market Structure Framework:
• Use QuantFrame to analyze market structure objectively by identifying key structural breaks and marking liquidity (LIQ) and invalidation (INV) zones.
• This eliminates guesswork and provides a clear framework for understanding market movements.
2. Leverage MTTS for Directional Bias:
• Refer to the MTTS table to identify the multi-timeframe directional bias, giving you the broader market context.
• Align your trading decisions with the overall trend or structure to improve accuracy and consistency.
3. Apply Your Preferred Entry Model:
• Once the market context is clear, use your preferred entry model to capitalize on the identified structure and trend.
• Manage trades dynamically as price delivers, using the provided liquidity and invalidation zones for risk management.
What Makes QuantFrame Original?
1. Objective Market Structure Analysis:
• Unlike subjective methods, QuantFrame uses a rule-based approach to identify structural breaks, ensuring consistency and reducing emotional decision-making.
2. Multi-Timeframe Integration:
• The MTTS table consolidates trend data across multiple timeframes, offering a bird’s-eye view of market trends without the need to switch charts manually.
• This unique feature allows traders to align strategies with higher-timeframe trends for more informed decision-making.
3. Liquidity and Invalidation Zones:
• Automatically marks Liquidity (LIQ) and Invalidation (INV) zones for every structural break, providing actionable levels for entries, exits, and risk management.
• These zones help traders define their risk-reward setups with precision.
4. Dynamic Trend Scoring (MTTS):
• The Multi-Timeframe Trend Score (MTTS) quantifies trend strength and direction across selected timeframes, offering a single, consolidated metric for market sentiment.
• This score is visualized with intuitive symbols (⬆, ⬇, ⇅) for quick decision-making.
5. Numeric Labeling of Breaks:
• Each structural break is assigned a unique numeric ID, making it easy to track, analyze, and backtest specific market scenarios.
6. Systematic Yet Flexible:
• While it provides a structured framework for market analysis, QuantFrame seamlessly integrates with any trading style. Traders can use it alongside their preferred entry models, adapting it to their unique strategies.
7. Enhanced Market Context:
• By combining structural insights with directional bias (via MTTS), the indicator equips traders with a complete market context, enabling them to make better-informed decisions.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
MONEYZEYAH | MAIN OVERLAYThis all-in-one trading tool maps out key market structures, dynamic price zones, and essential trading sessions – giving you the edge to navigate market movements with precision.
🔹 Key Features:
🗺️ Support & Resistance Zones – Automatically detects and highlights critical price areas where the market tends to react.
🎨 Chart Patterns:
Wedges and Flags – Visualize potential breakout patterns in real-time.
Market Structure Shifts:
⚡ CHoCH (Change of Character) – Identifies early signs of trend reversals.
📈 BOS (Break of Structure) – Confirms trend continuation or breakouts.
⚪ Session Overlay:
Highlights London Session First 3 hours with a clean white background, keeping you aligned with high-volatility periods.
🔺 Williams Fractals:
Marks swing highs and lows for easier trend and reversal identification.
🔴 🟢 Moving Averages – Tracks momentum with:
🟢 EMA 50 – Short-term trend direction.
🔴 EMA 200 – Long-term market bias.
🎯 Why Use This Indicator?
Comprehensive visualization of market structure and trading patterns.
Perfect for intraday and swing traders who rely on price action and session timing.
Streamlines technical analysis by integrating multiple essential tools into one powerful indicator.
Smart Money Concepts (Advanced)Inspired and initially based on LuxAlgo's Smart Money Concepts Indicator I created a library lib_smc that started to convert every function and return objects. This allowed certain customizations like tracking the current fill level of FVGs or tracking the creation of Order Blocks, by monitoring consecutive bars against the current trend.
This indicator is provided as is, based on, but probably not always be up to date with my lib_smc that I am using for my projects.
WARNING: This indicator shows EXPERIMENTAL Order Blocks that are tracked LIVE. Unlike usual Order Blocks these are not just based on the last confirmed Swing Point (formed 50 bars before) but on consecutive candles opposing an unconfirmed trend. Blocks are confirmed by price movements relative to the unconfirmed block and unconfirmed swing points. This means that some Order Blocks will appear on pullbacks, as well as reversals.
Features
Swing Points (HH / LH / HL / LL), indicating support / resistance zones price might reject off of or want to push through
Market Structure (BOS / ChoCh), indicates confirmation for a continued / changing trend
live Order Blocks (OB), see warning above.
Fair Value Gaps (FVG), optional from higher timeframes
Equal Highs / Lows (EQH/EQL), indicates strong support / resistance zones, especially when the bars forming it have long wicks toward that zone
using my lib_no_delay all moving averages are working from bar 0, so it can be used on charts with limited bars
Market Structure Trend Targets [ChartPrime]The Market Structure Trend Targets indicator is designed to identify trend direction and continuation points by marking significant breaks in price levels. This approach helps traders track trend strength and potential reversal points. The indicator uses previous highs and lows as breakout triggers, providing a visual roadmap for trend continuation or mean reversion signals.
⯁ KEY FEATURES AND HOW TO USE
⯌ Breakout Points with Numbered Markers :
The indicator identifies key breakout points where price breaks above a previous high (for uptrends) or below a previous low (for downtrends). The initial breakout (zero break) is marked with the entry price and a triangle icon, while subsequent breakouts within the trend are numbered sequentially (1, 2, 3…) to indicate trend continuation.
Example of breakout markers for uptrend and downtrend:
⯌ Percentage Change Display Option :
Traders can toggle on a setting to display the percentage change from the initial breakout point to each subsequent break level, offering an easy way to gauge trend momentum over time. This is particularly helpful for identifying how far price has moved in the current trend.
Percentage change example between break points:
⯌ Dynamic Stop Loss Levels :
In uptrends, the stop loss level is placed below the price to protect against downside moves. In downtrends, it is positioned above the price. If the price breaches the stop loss level, the indicator resets, indicating a potential end or reversal of the trend.
Dynamic stop loss level illustration in uptrend and downtrend:
⯌ Mean Reversion Signals :
The indicator identifies potential mean reversion points with diamond icons. In an uptrend, if the price falls below the stop loss and then re-enters above it, a diamond is plotted, suggesting a possible mean reversion. Similarly, in a downtrend, if the price moves above the stop loss and then falls back below, it indicates a reversion possibility.
Mean reversion diamond signals on the chart:
⯌ Trend Visualization with Colored Zones :
The chart background is shaded to visually represent trend direction, with color changes corresponding to uptrends and downtrends. This makes it easier to see overall market conditions at a glance.
⯁ USER INPUTS
Length : Defines the number of bars used to identify pivot highs and lows for trend breakouts.
Display Percentage : Option to toggle between showing sequential breakout numbers or the percentage change from the initial breakout.
Colors for Uptrend and Downtrend : Allows customization of color zones for uptrends and downtrends to match individual chart preferences.
⯁ CONCLUSION
The Market Structure Trend Targets indicator offers a strategic way to monitor market trends, track breakouts, and manage risk through dynamic stop loss levels. Its clear visual representation of trend continuity, alongside mean reversion signals, provides traders with actionable insights for both trend-following and counter-trend strategies.
LIT - ConfirmationsOverview
The LIT - Confirmations Indicator is a dynamic checklist tool designed for traders who uses LIT Strategy (Liquidity Inducement Theory) following liquidity and smart money concepts as benefit. This tool allows users to document and track essential trading confirmations directly on their TradingView charts, offering a structured and visual approach to market analysis.
What Makes This Unique?
Unlike other open-source tools, the LIT - Confirmations Indicator introduces a fully interactive and customizable table directly on the chart. This table provides real-time feedback with clear ✅ (checked) and ❌ (unchecked) visual indicators for each confirmation. The user can position the table on the chart according to their preference, ensuring it integrates seamlessly into their trading workflow without obscuring critical chart data.
How It Works
1. Predefined Confirmations
The indicator includes a set of commonly used trading confirmations:
Identify Liquidity: Mark areas where liquidity might pool.
Inducement: Confirm the presence of inducements before market reversals.
Relevant Break of Structure (BOS): Validate critical structural changes.
Mitigation after RBoS: Check for mitigation following a BOS.
Smart Money Trap (SMT): Identify traps often utilized by smart money.
Timing: Ensure trades are entered during high-probability time windows.
Mitigation to the Leftside: Confirm whether price action aligns with prior mitigations.
Set Targets: Define and document logical take-profit or stop-loss levels.
2.Interactive Table Display
A table is dynamically created on the chart, showing all confirmations with their current state (checked or unchecked).
Users can choose the position of the table (top, middle, or bottom and left, center, or right) and customize its background color for better visibility.
3. Customization
All confirmations are toggled through the input settings, allowing traders to adapt the indicator to their unique strategies.
The display can be easily adjusted to match the trader’s preferences without cluttering the chart.
How to Use
1. Add the indicator to your chart.
2. Open the settings panel to activate the relevant confirmations for your analysis.
3. Use the Display Settings section to adjust the table's position and background color.
4. View the table on your chart to track selected confirmations in real-time.
Who Is This For?
This indicator is ideal for traders who:
Use Liquidity Inducent Theory strategy in their analysis.
Prefer a structured and systematic trading approach.
Need an on-chart tool to document confirmations without relying on external notes or tools.
Why Closed Source?
The logic behind the interactive table and confirmation system is specifically tailored to LIT practitioners and is not publicly available in existing open-source scripts. The closed-source nature of this script protects its unique implementation, ensuring the integrity and exclusivity of the tool.
Disclaimer
This indicator does not provide trading signals or strategies. It is a tool to document user-defined confirmations and should be used in conjunction with a thorough understanding of market behavior and risk management practices.
FU Candle Indicator V3.2What the FU Candle Indicator does:
First we need to understand what FU candles are. There's bullish and bearish FU candles.
Bullish FU candles are candles that have a long wick that takes out the previous candles low, then turns around and closes above the high of the previous candle.
Bearish FU candles are candles that have a long wick that takes out the previous candles high, then turns around and closes below the low of the previous candle.
Then there's so called attempted FU candles (ATT FU)
The difference between normal FU candles and ATT FU candles is, that the ATT FU candle doesn't close above/below the high/low of the previous candle but only above the previous candle's body close.
Bullish ATT FU Candle:
Bearish ATT FU Candle:
Detection of Bullish FU Candles:
Bullish FU Candles are detected by measuring the distance between the low of the previous candle and the low of the current candle.
Then the distance between the previous candles high and the current candles close price are measured.
If current candle low < previous candle low and current candle close > previous candle high = Bullish FU Candle.
Detection of Bullish ATT FU Candles:
Bullish ATT FU Candles are detected by measuring the distance between the low of the previous candle and the low of the current candle.
Then the distance between the previous candles close or open price and the current candles close price are measured. If the previous candle closed bearish, the open price is used for comparison, if the previous candle closed bullish, the close price is used for comparison.
If current candle low < previous candle low and current candle close > previous candle open or close = Bullish ATT FU Candle.
Detection of Bearish FU Candles:
Bearish FU Candles are detected by measuring the distance between the high of the previous candle and the high of the current candle.
Then the distance between the previous candles low, AND the current candles close price are measured.
If current candle high > previous candle high, AND current candle close < previous candle low = Bearish FU Candle.
Detection of Bearish ATT FU Candles:
Bearish ATT FU Candles are detected by measuring the distance between the high of the previous candle and the high of the current candle.
Then the distance between the previous candles close or open price and the current candles close price are measured. If the previous candle closed bearish, the open price is used for comparison, if the previous candle closed bullish, the close price is used for comparison.
If current candle high > previous candle high and current candle close < previous candle open or close = Bearish ATT FU Candle.
What makes this script unique?
It shows and liquidity grab and a break of structure on a lower timeframe in one candle.
It allows to adjust the settings for the asset and timeframe you're using
The built in filters (Fractal Filter and EMA Filter) are both optional but allow to filter out certain candles and most importantly it leaves room for experimentation and optimisation to your trading style.
Input Settings and how to use them:
Bullish FU Candle Color --> This setting is to set the color for bullish FU candles.
Bearish FU Candle Color --> This setting is to set the color for bearish FU candles.
Chart --> This setting enables you to display FU's on different timeframes instead of only the current time. It's set to current timeframe by default.
Liq. Grab in Points --> This is the strength of the liquidity grab. By how many points has the current candle taken out the low/ high of the previous candle. It's set to 20 by default but it has to be adjusted to the timeframe and asset you're using.
Engulfing in Points --> This the strength of the engulfing of the previous candle. It measures the distance of the current close price to the open, close, high or low of the previous candle. It depends if the current candle is bullish or bearish and if the previous candle was bullish or bearish and if ATT FUs are enabled but this setting applies to all methods. It's set to 20 by default but you have to adjust it to the asset and timeframe you're using.
Min. Size in Points --> This setting is to filter out tiny candles. It measures the overall size of the FU candle from low to high. It's set to 20 by default but you have to adjust it to the asset and timeframe you are using.
Min. Body Size in Points --> This setting is to filter out FU candles that have a tiny body. It measures the size of the body from open to close. It's set to 20 by default but you have to adjust it to the asset and timeframe you are using.
Max. Body Size in Points --> This setting is to filter out FU candles that have a huge body. It measures the size of the body from open to close. It's set to 10000 by default but you have to adjust it to the asset and timeframe you are using.
Show ATT FU Candles --> ATT FU Candles are FU's where the body only engulfs the previous candles body but not the wick. This type of FU candles is just as valid as the strong FU's where the Body and the wick of the previous Candle is engulfed. The setting is enabled by default.
Rejection Filter --> This setting is used filter out FU candles where the opposite side rejection is stronger than the body direction of the FU. This filters out a lot of traps. It's disabled by default.
Fractal Filter --> FU's are only valid if they broke a fractal of the past x candles. This filters out some of the FU candles that are inside a range and therefore invalid. This is an optional filter and disabled by default.
EMA Filter --> FU's are only if they are above/ below the EMA. This is to filter out most of the FU candles that are inside ranges. The EMA period can be set too. This is an optional filter and enabled and EMA length set to 7 by default. You can enable it and/ or change the length of the EMA to fit your trading style.
Show Entry Lines --> The entry line setting has been changed in terms of styling. The upper and lower line has been removed. Now only the 50% retracement line of the candle body is displayed and the line type, color, strength and length can be set to keep charts as clean as possible.
Alert Timeframes --> You can select the timeframes for which you want to receive an alert if you set and alert for the FU Candle indicator. If you set an alert for the FU Candle Indicator it will send an alert for every FU candle on every selected timeframe.
TF1-TF8 --> This setting is to enable or disable alerts for timeframe 1 - timeframe 8. By default all alerts are disabled, I recommend only enabling the ones that you actually use.
Recommended use:
A bullish FU candle doesn't necessarily mean it's a long and vice versa a bearish FU candle doesn't necessarily mean it's a short. In fact, most FU candles are traps. Often times you'll see a bullish FU candle starting a bearish reversal.
Whenever you see an FU Candle check the following:
Did the FU candle take relevant liquidity?
Is the FU Candle in line with the overall bias or does it go against the bias?
Where did the FU react? Example: A bearish FU candle that reacts in a bullish FVG is a perfect long entry and vice versa.
A bullish FU candle that takes out a relevant swing high can often be a fake-out and price can immediately reverse as the next candle opens.
Timing is also very important. Usually the valid FU candles happen after a strong move to one direction during high volume times and right before or right after a new candle opens on a higher timeframe.
Examples of valid setups:
Nr. 1) Mitigation Setup
Overall bullish on the higher time frame, liquidity grab to the downside, shift in momentum, strong move to the upside left a FVG. later price comes back into the FVG and forms a FU candle --> perfect long trade targeting the opposite side of the range.
Entry either at close of the FU or at the 50% retracement.
Nr. 2) Trap Setup
Clear bullish trend respecting the trend line, bearish FU candle forms but it didn't take any relevant liquidity to the upside. Only internal range liquidity. Perfect long entry using a buy limit below the lower wick of the FU candle with the SL below the nearest low.
Nr. 3) Liquidity Grab Setup
Bearish trend, price comes up aggressively and takes out a high and forms an FU Candle. Market entry short at close of the FU candle or at the 50% retracement of the FU candle or by putting a limit order right above the wick of the candle that follows the FU candle, targeting the opposite side of the range.
Nr. 4) Fake Breakout Setup
Price takes out a significant HTF low, then makes at least 2 BOS on the LTF and forms an Order Block or leaves an FVG. Price forms a bearish U that fails to close below the FVG or Orderblock.
Market entry long at the close of the bearish FU targeting the opposite side of the range. Vice versa for shorts. In simple terms: Bullish FUs at the top of the range and bearish FUs at the bottom of the range are usually always traps.
Sometimes price takes out the high/low of a trap FU before reversing aggressively so you can also have a limit order below the low of the bearish FU or above the high of a bullish FU in this case. But you risk missing the trade.
Entry Methods:
Entry Type 1) Market Entry at the close of the FU candle. --> Never miss a trade, not the best RRR.
Entry Type 2 Limit Entry at the 50% retracement of the body of the FU candle. --> Miss some of the trades but better RRR.
Entry Type 3 Limit order below the wick of the candle that follows the FU candle. --> Miss quite a lot of trades but by far best RRR.
Why this is a closed source script:
The source code of this script is not open because I have spent several years of my life developing it and I use it in all my trading bots.
Also I'm open for feedback and will modify/ update the script for free if I get input that can make it better.
For questions, please reach out via DM or check out my youtube channel. I have several videos explaining in detail how I use these candles, which are valid and which aren't.
Enhanced Entropy Trading SystemEnhaոсeԁ Entrору Trаdiոg Sуstem - Cоmpreheոsіνe Gսiԁe
Oνerνіew
Thіs iոԁiсatоr is aո adνаոсed traԁіոg system that соmbiոes entrорy аnalуsis wіth mսltіple aԁaрtіνe filters to iԁeոtіfy high-рrobаbilіtу trаdіng орроrtuոіties. It meаsսres market rаndomոess (eոtrорy) and uses іt аlоngsiԁe νоlսme аnԁ vоlаtіlіtу to geոerate trаdiոg sigոаls.
Cоre Cоmроոeոts
1. Enhanced Entrору Aոalysis
Cаlсսlates mаrket eոtrору (measure оf rаոԁоmոess/orԁer іn рrісe movemeոts)
Uses аdaptіve cаlculatіоոs bаseԁ оո:
Volume weightіng
Vоlаtіlіtу sсalіոg
Dуոamіс leոgth aԁјustmeոt
Helрs іdeոtifу shifts betweeո orԁereԁ аոԁ rаndоm mаrket states
2. Aԁaptіνe Filters
The system іnclսԁes seνeral customizable fіlters:
Adаptiνe Leոgth: Autоmatiсаllу aԁјսsts сalсսlаtіoո рerіоԁs bаseԁ oո market conԁitіоոs
Vоlսme Weightіոg: Iոсоrpоrates vоlume аnаlуsis fоr sіgոаl vаlіdаtiоn
Vоlatіlіty Sсaling: Aԁjusts sensіtiνіtу bаseԁ оn mаrket νоlatіlіty
Hսrst Eхроոeոt: Meаsսres trenԁ persіstence
Lуарսոоv Expоոeոt: Meаsսres chаos/stabіlity iո priсe mоvemeոt
Treոd Fіlter: Uses mоνіոg aνerаge сrossoνers for treոԁ сoոfіrmаtiоո
Dаshboard Iոterрretаtion
1. Treոd Anаlуsis
Shоws сurreոt treոd state: Strоոg/Weаk Uрtrenԁ оr Dowոtrenԁ
Bаsed оn mսltіple EMA relаtіoոshіps (20, 50, 200)
Cоlоr cоԁіոg: Greeո (strоng սр), Lime (weak սp), Red (strоոg dowո), Orаոge (weаk ԁоwո)
2. Prісe Rаոge
Iոԁісаtes cսrrent market νоlаtіlity соոteхt
Clаssifіcаtіоns: Wіde, Normal, оr Tіght rаnge
Perсentаge-baseԁ meаsսrement оνer 20 perіоds
Helps wіth роsіtiоn sizіոg aոԁ stоp placement
3. Rаոge Pоsіtiоn
Shows where price іs withіո its curreոt rаոge
Stаtes: Overboսght, Neutral, or Oνersоlԁ
Perсeոtаge-bаsed рosition (0-100%)
Useful for mean reνersіoո trаԁes
4. Prісe Pаtterո
Iԁentifies сսrrent рriсe actіoո patterո
Patterոs іnсlսde: Breakоut, Breakdоwո, Resistаոce Test, Sսpрort Test, Rаnge Boսnd
Helps with eոtrу timіng аnԁ patterո trаdіng
Sуstem Use Suggestіоոs
1. Initіаl Setuр
Eոable/dіsаble desіred filters based оո уоur trаԁіng stуle
Aԁјսst sensitіνіtу settiոgs if ոeeԁed
Mоոіtоr the dаshboard for mаrket соոtext
2. Trаԁіng Process
Market Aոаlуsіs:
Check Treոd Analysіs fоr оνerall ԁіreсtion
Reνіew Priсe Rаnge for vоlаtіlіty соոteхt
Cоոfirm Rаnge Posіtion fоr сусle loсаtіоո
Verіfу Prісe Pаtterո fоr entry timіոg
Sіgnal Valіdatioո:
Wait fоr buу/sell sіgոal
Cоոfіrm wіth dаshboаrԁ metriсs
Check аll аctіνe fіlters
Verifу νоlսme аոԁ νolаtіlіtу соոԁіtiоns
Trаԁe Maոаgemeոt:
Use Prіce Raոge for stор lоss рlаcemeոt
Coոsіԁer Rаոge Pоsіtiоո for profit tаrgets
Mоոіtоr Patterո recоgոіtіоո fоr eхit sіgոals
Aԁjսst роsitіoո size baseԁ oո Range wіdth
Best Prаctісes
Signal Streոgth:
Strongest sіgոаls oсcսr when all fіlters alіgո
Lоok fоr patterո сonfіrmаtіon іո ԁashbоаrԁ
Wаіt fоr cleаr treոԁ ԁireсtiоո
Verіfу vоlume sսрport
Rіsk Managemeոt:
Use wіԁer stорs іn Wіԁe Rаոge mаrkets
Tіghter stoрs iո Tіght Range markets
Scаle pоsіtіоn sіze bаseԁ оո Raոge wіdth
Consіԁer Raոge Pоsіtіоո fоr entrу timing
Mаrket Cоոԁіtions:
Most effectіνe іո treոԁіng markets
Use саսtiоո іn eхtremely vоlatile perіoԁs
Adjսst strаtegу baseԁ оո Range state
Consiԁer Patterո sigոаls fоr entrу/eхіt
Aԁԁіtіоnal Tірs
Optimіzatіoո:
Start wіth all filters enableԁ
Remоve filters thаt dоn't sսіt yoսr tіmefrаme
Adјսst leոgths baseԁ оո yоսr trаdіոg stуle
Mоոіtоr рerformanсe аnd aԁjսst aссorԁіnglу
Cоmmoո Mіstаkes to Aνоіd:
Don't trаԁe аgаіոst the mаіn treոԁ
Aνоiԁ fоrсiոg trades iո սոсleаr coոdіtioոs
Don't іgnоre νolսme aոԁ vоlatіlity соոteхt
Dоn't oνerrіԁe sуstem sіgnаls
Market structureHi all!
This script shows you the market structure. You can choose to show internal market structure (with pivots of a default length of 5) and swing market structure (with pivots of a default length of 50). For these two trends it will show you:
• Break of structure (BOS)
• Change of character (CHoCH) (mandatory)
• Equal high/low (EQH/EQL)
It's inspired by "Smart Money Concepts (SMC) " by LuxAlgo that will also show you the market structure.
It will create the two market structures depending on the pivots found. Both of these market structures can be enabled/disabled. The pivots length can be configured separately. The pivots found will be the 'base' of this indicator and will show you when price breaks it. When that happens a break of structure or a change of character will be created. The latest 5 pivots found within the current trends will be kept to take action on. The internal market structure is shown with dashed lines and swing market structure is shown with solid lines.
A break of structure is removed if an earlier pivots within the same trend is broken. Like in the images below, the first pivot (in the first image) is removed when an earlier pivot's higher price within the same trend is broken (the second image):
Equal high/lows have a pink zone (by default but can be changed by the user). These zones can be configured to be extended to the right (off by default). Equal high/lows are only possible if it's not been broken by price and if a later bar has a high/low within the limit it's added to the zone (without it being more 'extreme' (high or low) then the previous price). A factor (percentage of width) of the Average True Length (of length 14) that the pivot must be within to to be considered an Equal high/low. This is configurable and sets this 'limit' and is 10 by default.
You are able to show the pivots that are used. "HH" (higher high), "HL" (higher low), "LH" (lower high), "LL" (lower low) and "H"/"L" (for pivots (high/low) when the trend has changed) are the labels used.
This script has proven itself useful for me to quickly see how the current market is. You can see the pivots (price and bar) where break of structure or change of character happens to see the current trends. I hope that you will find this useful for you.
When programming I focused on simplicity and ease of read. I did not focus on performance, I will do so if it's a problem (haven't noticed it is one yet).
You can set alerts for when a change of character happens. You can configure it to fire on when it happens (all or once per bar) but it defaults to 'once_per_bar_close' to avoid repainting. This has the drawback to alert you when the bar closes.
TLDR: this is an indicator showing you the market structure (break of structures and change of characters) using swing points/pivots. Two trends can be shown, internal (with pivots of length of 5) and swing (with pivots of the length of 50).
Best of trading luck!
Market Structure Algo V2 [OmegaTools]The Market Structure Algo V2 (MS Algo V2) is an advanced TradingView indicator developed by OmegaTools to provide traders with a comprehensive analysis of market structure. This tool refines the insights provided by its predecessor, combining enhanced pivot point analysis, dynamic market structure scoring, and zone visualization to deliver an intuitive view of potential market movements. Through custom settings, the MS Algo V2 allows users to tailor the indicator to fit their trading strategies more closely, offering enhanced adaptability to both short-term and long-term trends.
Core Functionality
The MS Algo V2 differentiates between internal and external market structures by analyzing pivot highs and lows over user-defined periods. The internal market structure focuses on shorter timeframes, providing insights into recent price action, while the external structure considers broader trends. This dual-layered approach helps traders distinguish between immediate and overarching market trends.
The indicator introduces improved visualization for areas of interest or zones around pivot points, adjustable through zone distance settings. These zones serve as potential support and resistance areas, helping traders anticipate price reactions at key levels. In addition to the zones, the indicator now provides gradient-based color coding on bars, reflecting the market structure’s bullish or bearish intensity. This visual enhancement aids in quickly interpreting the current trend's strength.
Dynamic signal generation has been refined in MS Algo V2. The indicator now offers both classic signals and breakout signals based on the market structure, including entries, exits, and change-of-character (CHoCH) alerts. Signals are generated based on price interactions with pivot levels, indicating potential long and short opportunities.
Operational Mechanism
The MS Algo V2 calculates pivot highs and lows over specified periods to define internal and external market structures. A market structure score is derived from these pivot points, classifying the market into bullish or bearish extremes. Signals are generated as the closing price interacts with these levels, marking entry and exit points based on the calculated structure.
A new feature in this version is zone visualization, where zones are plotted around a dynamic moving average derived from the exponential and simple moving averages (EMA and SMA). The zones are adjusted based on ATR (Average True Range) and the specified zone distance percentile, providing a clear visual representation of potential support and resistance regions. The external and internal zones are represented with different levels of transparency for quick reference.
Usage Guidelines
To apply the MS Algo V2 to your TradingView charts, adjust the internal and external market structure settings to match your preferred analysis timeframes. The line style and width of each structure can also be customized for a tailored view. The Zone Distance setting allows users to define the percentile range of the zones around the moving average, providing further flexibility in identifying potential areas of support and resistance.
For a color-coded overview of market sentiment, the bar gradient feature can be enabled. This option uses a gradient that reflects the bullish or bearish intensity of the market structure, giving traders a visual cue on the market’s overall trend. Color-coded signals and zone fill areas further assist in interpreting the current market structure and identifying potential trade areas.
The indicator includes customizable alerts for long and short signals, as well as specific breakout alerts (BOS) and change-of-character (CHoCH) signals. These alerts can help traders stay informed about significant market structure changes, supporting timely trading decisions.
Understanding the Indicator’s Originality
The MS Algo V2 stands out due to its robust integration of pivot analysis, zone visualization, and market structure scoring, offering a unique perspective on market dynamics. With features like color-coded signals, bar gradients, and configurable alerts, MS Algo V2 provides an edge in understanding both the current market environment and potential turning points. This indicator’s ability to represent the market’s structure visually makes it a powerful addition to any trader’s toolkit, especially for those seeking a deeper, multi-layered approach to market analysis.
The Ultimate Indicator by ATK
The Ultimate Indicator By ATK
This all-in-one trading indicator integrates multiple advanced tools to provide ICT traders with deep insights into market structure, liquidity zones, Fair Value Gaps (FVG), and AI-powered signals. Whether you’re a scalper or a long-term trader, this indicator offers real-time analysis and helps identify potential trading opportunities in dynamic markets.
🔵 Key Features
🔹 2 options for checking SMT (Separation and Divergence) Detection:
First - Compares highs and lows of a primary symbol (e.g., NQ1!) with a user-defined comparison symbol (e.g., ES1!).
Automatically detects and visualizes discrepancies (red for highs, blue for lows) between the symbols.
Offers customizable comparison settings and alerts for divergence detection.
Second -
Real-time SMT comparison between two tickers - red/green lines.
🔹 Market Structure Change (MSS) & Break of Structure (BOS) Detection:
Identifies market structure shifts and breakouts, crucial for spotting potential reversals.
Customizable sensitivity and length settings to adapt to various market conditions and trading strategies. Use 3 different timeframes on the same chart.
🔹 Buy Side & Sell Side Liquidity Zones:
Highlights liquidity zones on both buy and sell sides, offering a clear view of market pressure points.
Configurable settings for detection length, margin, and alert conditions for liquidity sweeps like the 15-minute Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL).
These lines from Swing Highs & Lows:
Automatically plots horizontal lines at the most recent swing highs and lows.
Lines are removed once the closing price breaches these levels, ensuring real-time updates and clean charting.
🔹 Fair Value Gap (FVG) Detection:
Detects FVG formations on 5-minute and 1-minute charts, making it ideal for scalpers capturing liquidity gaps.
Includes directional arrows and customizable alerts based on higher and lower timeframe FVG analysis, helping traders time their entry and exit points.
🔹IFVG (Inverse fair value gap) - yellow
🔹IFVG + SMT - Light blue
🔹IFVG + SMT + HTF FVG - green/red (1 min only)
🔹IFVG + SMT + BSL/SSL Swept - green/red (1 min only)
for example:
🔹 Capture and plot significant price levels at specific times throughout the trading day:
TDO (True Day Open): The price at which a market opens at 12:00 AM US.
TMSO (True Micro Session Open): The open price of the Q2 of the micro session.
RVT (Revolving True Open): The price recorded at 12:00 PM US.
AO (Asia True Open Price): The price captured at 7:30 PM US, specifically representing the opening price of the Asian session.
LO (London True Open Price): 1:30 AM US
AM (New York Session - Afternoon Market True Open Price): 7:30 AM US
PM (Post Market Open Price): 1:30 PM US.
For example TMSO:
🔹 AI-Powered Entry Detection:
The script helps identify entry points based on specific candle patterns, while also considering the exponential moving averages (EMAs) for trend confirmation.
🔶FFMS Strategy: (First Five Minute Strategy)
Check 5-min time frame if the price is between the high and low of the previous day. then, when NYO if there is retest on the High/Low on the 5-min chart after crossover or crossunder the 5 minute first candle high/low lines.
🔶PSP & PSP + FVG
🔹The Precision Swing Point (PSP). It helps you visually identify price decorrelation (type of SMT) among key futures contracts (NQ/ES or NQ/ES/YM/ZB) and set alerts for these significant market movements.
🔹The PSP HTF 15 Min + FVG LTF 1 Min
In this strategy the script is looking for PSP in HTF (15-Min) and capture the FVG in LTF (1-Min) only if its between High and Low of the PSP.
If there is a retracement in parallel micro session time, for example: Q1 with Q3 or Q2 with Q4, Q3 with Q1, etc…
if the retracement was happened and the price close above/below the high/low of the FVG from the LTF that captured according to the direction for long/short, it plots an arrow.
Update the script that checks the purple arrows and shows all of them each time there is a new PSP in a 15-minute timeframe and then FVG in 1 Min timeframe with the reference to the TDO/TMSO/Open session
for example:
Step 1: PSP 15Min LOW/HIGH Lines look for FVG by the conditions above - purple arrow
Step 2:FVG founded - purple arrow
SMT Fill on 15 min timeframe + IFVG 1 min - Detected option:
When Sym1 closed above/below FVG and Sym2 didn't it is SMT FILL (15 Min timeframe)
White arrows when captured SMT FIll + IFVG:
option to turn on alert on this strategy too.
🔹Detect liquidity swept on 15-min timeframe by $$ - green/red
🔹Detect liquidity to sweep zones on by diamonds - green/red
🔹Alerts for all Events and full scenarios.
Real-time notifications ensure traders can act quickly on potential trade setups.
🔵 Conclusion:
This Ultimate Indicator by ATK brings together critical elements of market analysis in one tool for ICT traders, offering real-time insights, alerts, and visual aids to enhance trading strategies. Whether you’re focused on short-term price action or long-term market trends, this indicator provides the tools necessary for informed decision-making and improved trading performance.
Price Action Volumetric Order Blocks [UAlgo]"Price Action Volumetric Order Blocks" indicator aims to identify significant price zones in the market based on a combination of price action and volume analysis. It utilizes the concept of "Order Blocks," which are areas on the chart where large orders are believed to have been placed, influencing price behavior. By analyzing price swings and volume activity, the indicator attempts to highlight potential support and resistance levels.
🔶 Key Features
Swing Length: This input allows you to adjust the timeframe used to identify price swings for order block detection. A longer swing length will focus on larger timeframes and potentially capture stronger order blocks.
Show Last X Order Blocks: This controls the number of order blocks displayed on the chart. You can choose to visualize a specific number of the most recent order blocks.
Violation Check: This setting determines how the indicator identifies potential order block violations. You can choose between "Wick" or "Close" violations. A "Wick" violation occurs when the price (wick) extends beyond the order block boundaries, while a "Close" violation signifies that the closing price breaches the order block.
Hide Overlap: This option allows you to manage the display of overlapping order blocks. If set to "True," only non-overlapping order blocks will be shown, potentially offering a clearer visualization.
Colors: You can customize the color scheme for bullish (upward) and bearish (downward) order blocks to enhance visual clarity on the chart.
🔶 Interpreting the Indicator
Order Blocks: The teal-colored boxes represent bullish order blocks, indicating areas of demand where buying pressure is likely to be strong. Red-colored boxes represent bearish order blocks, indicating areas of supply where selling pressure is likely to be dominant. These zones often signal potential reversal points or consolidation areas.
Strength Calculations: The indicator calculates the relative strength of bullish and bearish blocks based on volume. A higher bullish strength indicates stronger buying pressure, while higher bearish strength suggests more selling pressure. Traders can use this information to gauge the strength of a price level and predict future price movements.
Market Structure Lines: The indicator displays horizontal lines to depict the current market structure, labeled as "MSB" (Market Sell Balance) or "BOS" (Break of Structure). These lines can help visualize the prevailing trend direction.
Order Block Violations: When a price wick or close breaches an order block (depending on the chosen violation type), the corresponding order block visualization is removed from the chart. This can signify a potential weakening of the identified support or resistance zone.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Trading Desk - OPEN SOURCEThe Trading Desk - is a powerful tool designed to identify key market stages based on Break of Structure (BOS) patterns. This indicator tracks Bullish and Bearish Market Breaks (MBs) to determine four crucial market stages: Accumulation, Distribution, Reaccumulation, and Redistribution.
Accumulation: Identified when a series of Bullish MBs dominate the market, signaling a potential upward trend.
Distribution: Triggered by dominant Bearish MBs, indicating a possible market decline.
Reaccumulation: Occurs after a sequence of Bullish MBs is followed by up to three Bearish MBs, suggesting a continuation of the upward trend after a temporary pullback.
Redistribution: Appears when a sequence of Bearish MBs is followed by up to three Bullish MBs, indicating a potential continuation of the downward trend after a brief upward correction.
The indicator also includes a dynamic table displayed at the top right of the chart, showing the current market stage in real-time. This helps traders quickly assess the market environment and make informed trading decisions.
Ideal for: Traders looking to understand market structure and identify trend continuation or reversal phases.
LOWESS (Locally Weighted Scatterplot Smoothing) [ChartPrime]LOWESS (Locally Weighted Scatterplot Smoothing)
⯁ OVERVIEW
The LOWESS (Locally Weighted Scatterplot Smoothing) [ ChartPrime ] indicator is an advanced technical analysis tool that combines LOWESS smoothing with a Modified Adaptive Gaussian Moving Average. This indicator provides traders with a sophisticated method for trend analysis, pivot point identification, and breakout detection.
◆ KEY FEATURES
LOWESS Smoothing: Implements Locally Weighted Scatterplot Smoothing for trend analysis.
Modified Adaptive Gaussian Moving Average: Incorporates a volatility-adapted Gaussian MA for enhanced trend detection.
Pivot Point Identification: Detects and visualizes significant pivot highs and lows.
Breakout Detection: Tracks and optionally displays the count of consecutive breakouts.
Gaussian Scatterplot: Offers a unique visualization of price movements using randomly colored points.
Customizable Parameters: Allows users to adjust calculation length, pivot detection, and visualization options.
◆ FUNCTIONALITY DETAILS
⬥ LOWESS Calculation:
Utilizes a weighted local regression to smooth price data.
Adapts to local trends, reducing noise while preserving important price movements.
⬥ Modified Adaptive Gaussian Moving Average:
Combines Gaussian weighting with volatility adaptation using ATR and standard deviation.
Smooths the Gaussian MA using LOWESS for enhanced trend visualization.
⬥ Pivot Point Detection and Visualization:
Identifies pivot highs and lows using customizable left and right bar counts.
Draws lines and labels to mark broke pivot points on the chart.
⬥ Breakout Tracking:
Monitors price crossovers of pivot lines to detect breakouts.
Optionally displays and updates the count of consecutive breakouts.
◆ USAGE
Trend Analysis: Use the color and direction of the smoothed Gaussian MA line to identify overall trend direction.
Breakout Trading: Monitor breakouts from pivot levels and their persistence using the breakout count feature.
Volatility Assessment: The spread of the Gaussian scatterplot can provide insights into market volatility.
⯁ USER INPUTS
Length: Sets the lookback period for LOWESS and Gaussian MA calculations (default: 30).
Pivot Length: Determines the number of bars to the left for pivot calculation (default: 5).
Count Breaks: Toggle to show the count of consecutive breakouts (default: false).
Gaussian Scatterplot: Toggle to display the Gaussian MA as a scatterplot (default: true).
⯁ TECHNICAL NOTES
Implements a custom LOWESS function for efficient local regression smoothing.
Uses a modified Gaussian MA calculation that adapts to market volatility.
Employs Pine Script's line and label drawing capabilities for clear pivot point visualization.
Utilizes random color generation for the Gaussian scatterplot to enhance visual distinction between different time periods.
The LOWESS (Locally Weighted Scatterplot Smoothing) indicator offers traders a sophisticated tool for trend analysis and breakout detection. By combining advanced smoothing techniques with pivot point analysis, it provides a comprehensive view of market dynamics. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
Algo Market Structure (Nephew_Sam_)This indicator takes a different approach into reading market structure.
The key difference between this logic compared to the pivot logic is; we read highs and lows based on bullish and bearish candles. Ie:
Pivot method - highest/lowest point in previous and next X candles
Algo method - Bullish candle(s) followed by a bearish candle and vice versa
More explanation in each of the key feature below.
Here are all of the concepts and features included in the indicator:
Timeframe
- You can select the timeframe of the indicator (has to be higher or equal to the chart timeframe)
- Min option is the minimum timeframe to show the indicator. If you show daily structure on 1m chart, you can run into a timeout error so keep it close to the chart timeframe.
- Recommended timeframe for no bugs is the current chart timeframe.
Structure
The structure is calculated using a combination of candle patterns (ie. pivot top = Bullish x3-Bearish-Bullish) and marks out circle labels after a new HH or LL
Structure high = 1 or more consecutive bull candles followed by a bear candle
Structure low = 1 or more consecutive bear candles followed by a bull candle
Structure direction change = when the second previous H/L is taken out (TLQ)
ILQ - Inducement Liquidity concept
In a bearish example this is the most recent structure high.
TLQ
In a bearish example this is the second most recent structure high.
This is also what helps define our structure direction. If broken, the structure changes (bullish / bearish) and plots a bos line.
EPA - Efficient price action
When price returns back to previous structure point after bos. Similar to an ICT breaker.
Note: It might be a little, just a little buggy if you have set your indicator timeframe to higher than the chart timeframe.
Extremes Zones
The final zone to find a trade entry before a structural shift. These are wick of the TLQ candle. This is select the wick of the current timeframe candle even if indicator is set to higher timeframe.
MSU
Tiny arrow labels at the bottom of your chart. Plots the arrows when price is between an ILQ and TLQ
VTA
Valid trading range. This is when we get some sort of a structure pattern. Plots a box when price induces previous structure point and then breaks structure in the opposite direction. Here are the patterns:
Bull VTA - HH-LL-HH
Bear VTA - LL-HH-LL
Bull Strict VTA - LL-HH-LL-HH
Bear Strict VTA - HH-LL-HH-LL
Bar colors
Changes the bar color based on the structure to all green/red.
Note: for this to work, you will have to right click on the indicator, then under visual order select 'bring to front'
Table
This table plots the structure stats/data
1. If structure is bullish / bearish
2. If price is efficient or not
3. If there is an MSU
4. If price is inside a VTA
Disclaimer: This indicator is fully written from scratch by me, the idea behind the concepts come from AlgoHub material on Youtube. Do NOT use this code for reselling purposes and if anything is created using any part of this code, the source code should be public.
Scalping System by Machine# Custom Trading System Indicator
This Pine Script indicator is designed to identify potential trading setups based on a specific set of rules. It's intended for use on lower timeframes (M1-M5) in the forex market, particularly during the New York-London overlap period.
## Key Features
1. **EMA Condition**: Uses a 20-period Exponential Moving Average (EMA) to determine trend direction.
2. **Candle Analysis**: Identifies strong bars and candle color changes.
3. **Volume Confirmation**: Checks for increasing volume.
4. **Volatility Filter**: Utilizes the Average True Range (ATR) to gauge market volatility.
5. **Time-based Filter**: Highlights the New York-London overlap period.
6. **Visual Aids**: Plots potential entry points, stop losses, and take profit levels.
## Trading Rules
1. **Buy Signal**:
- Price is above the 20 EMA
- Candle color changes from red to green
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
2. **Sell Signal**:
- Price is below the 20 EMA
- Candle color changes from green to red
- Current candle is a strong bar (closing within 75% of its range)
- Volume is higher than the previous bar
- ATR(14) is above 4 pips OR it's during the NY-London overlap
3. **Stop Loss**: Placed near the low of the setup candle for buys, or near the high for sells.
4. **Take Profit**: Aimed at 1R (one times the range of the setup candle).
## Visual Elements
- **20 EMA**: Plotted as a blue line on the chart.
- **Buy Signals**: Green triangles below the candles.
- **Sell Signals**: Red triangles above the candles.
- **Stop Loss Levels**: Small red dots at the calculated stop loss prices.
- **Take Profit Levels**: Small green dots at the calculated take profit prices.
- **Information Table**: Displays current values for ATR, strong bar condition and volume condition.
## Usage Notes
1. This indicator is designed for manual trading, not automated execution.
2. It works best when combined with analysis of major trend lines, support, and resistance levels.
3. Exercise caution with very large setup candles.
4. Consider additional filters or money management rules for enhanced performance.
5. For higher timeframe bias validation, consider incorporating a 100-period break of structure (BOS) analysis.
## Customization
The indicator includes several input parameters that can be adjusted:
- EMA Length
- ATR Length and Threshold
- Volume Multiplier
- Strong Bar Percentage
Users can also toggle the visibility of stop loss and take profit markers.
Remember, while this indicator can identify potential setups, it should be used in conjunction with other forms of analysis and risk management strategies. Always consider the overall market context and your personal risk tolerance when making trading decisions.
Market Structure Targets Model [LuxAlgo]The Market Structure Targets Model indicator provides an algorithmic approach to setting targets from market structure shifts (MSS) and market structure breaks (MSB), two popular Smart Money Concept (SMC) concepts. Depending on the target % settings, they can be used as take profit, confirmation levels, or potential reversal points.
🔶 USAGE
Our Market Structure Targets Model scripts provide automated and customizable targets from MSS and MSB. Each displayed target can be used in several ways described in the sub-sections below:
🔹 Take Profit
The targets can be used as take profit levels, where the target distance can be set separately for bullish/bearish MSS/MSB respectively.
🔹 Confirmation Levels
Alternatively, targets can be used as an additional confirmation level of a trend reversal when set at a lower percentage, filtering out fake signals that might be given from market structures. In this way, targets can be used as potential entry levels.
🔹 Potential Reversal Points
In some circumstances, targets being reached can be indicative of trend reversals. The percentage of the targets would be typically set higher to allow for trend exhaustion.
The above examples highlight this usage for bearish reversal scenarios, while the image below highlights it for bullish reversal scenarios.
🔹 Support/Resistance Levels
The targets, being horizontal levels, can also serve as potential support/resistances, with breakouts potentially confirming new trends. It is important to remain observant of the market structure. An MSS or MSB in the opposite direction provides essential information to be included in future decisions.
Using multiple timeframes can help detect longer-term trends. Depending on the user's preference, they can choose the appropriate timeframe for their needs.
Note that Target lines will only be drawn when the Target Level exceeds the close value when it is drawn.
🔹 Maximum Target Duration
The Maximum Target Duration setting removes unreached target levels when the amount of bars since the associated market structure of that target exceeds the user set limit. This effectively allows the removal of any target that might no longer be relevant to newer trends.
🔹 Type: Switch/Hold
This setting is another way to control unreached target levels.
Switch: When a new MSS/MSB is found, the previous target level associated with a market structure with the same direction (bullish/bearish) is deleted if it hasn't been reached.
Hold: Target levels are retained and continuously evaluated when a new MSS/MSB is formed.
The target level will be removed in both cases when the Maximum Target Duration condition is applied.
The above example shows the case when the Type setting is set to Switch , while in the example below, it is set to Hold .
🔶 DETAILS
🔹 Market Structure
Market structures are commonly classified as follows:
Market Structure Shift (MSS), also referred to as Change of Character (CHoCH)
Market Structure Break (MSB), also referred to as Break of Structure (BOS)
MSS indicates a shift in the market trend, confirming trend reversals. Conversely, MSB occurs once a trend is already determined, confirming new higher highs/lower lows.
🔹 Targets
A: Highest/lowest between the extremities of the MSS/MSB line
B: Price value of the MSS/MSB line
The distance between A and B is projected on the opposite side of the MSS/MSB line, adjusted with a percentage that can be set by the user. The above example used 100% of the distance between A and B.
The Target Percentage of MSS and MSB can be set separately for bullish or bearish market structures.
🔶 SETTINGS
Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Type: the Switch/Hold setting controls unattained target levels
Maximum Target Duration: removes the target lines when the amount of bars since the drawing of the target exceeds the limit and the target has not been reached
🔹 Market Structure Shift (MSS)
Bullish: Toggle, color setting, % Target
Bearish: Toggle, color setting, % Target
🔹 Market Structure Break (MSB)
Bullish: Toggle, color setting, % Target
Bearish: Toggle, color setting, % Target
Market Sentiment Technicals [LuxAlgo]The Market Sentiment Technicals indicator synthesizes insights from diverse technical analysis techniques, including price action market structures, trend indicators, volatility indicators, momentum oscillators, and more.
The indicator consolidates the evaluated outputs from these techniques into a singular value and presents the combined data through an oscillator format, technical rating, and a histogram panel featuring the sentiment of each component alongside the overall sentiment.
🔶 USAGE
The Market Sentiment Technicals indicator is a tool able to swiftly and easily gauge market sentiment by consolidating the individual sentiment from multiple technical analysis techniques applied to market data into a single value, allowing users to asses if the market is uptrending, consolidating, or downtrending.
The tool includes various components and presentation formats, each described in the sub-sections below.
🔹Indicators Sentiment Panel
The indicators sentiment panel provides normalized sentiment scores for each supported indicator, along with a synthesized representation derived from the average of all individual normalized sentiments.
🔹Market Sentiment Meter
The market sentiment meter is obtained from the synthesized representation derived from the average of all individual normalized sentiments. It allows users to quickly and easily gauge the overall market sentiment.
🔹Market Sentiment Oscillator
The market sentiment oscillator provides a visual means to monitor the current and historical strength of the market. It assists in identifying the trend direction, trend momentum, and overbought and oversold conditions, aiding in the anticipation of potential trend reversals.
Divergence occurs when there is a difference between what the price action is indicating and what the market sentiment oscillator is indicating, helping traders assess changes in the price trend.
🔶 DETAILS
The indicator employs a range of technical analysis techniques to interpret market data. Each group of indicators provides valuable insights into different aspects of market behavior.
🔹Momentum Indicators
Momentum indicators assess the speed and change of price movements, often indicating whether a trend is strengthening or weakening.
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Stochastic %K: Compares the closing price to the range over a specified period to identify potential reversal points.
Stochastic RSI Fast: Combines features of Stochastic oscillators and RSI to gauge both momentum and overbought/oversold levels efficiently.
Commodity Channel Index (CCI): Measures the deviation of an asset's price from its statistical average to determine trend strength and overbought and oversold conditions.
Bull Bear Power: Evaluates the strength of buying and selling pressure in the market.
🔹Trend Indicators
Trend indicators help traders identify the direction of a market trend.
Moving Averages: Provides a smoothed representation of the underlying price data, aiding in trend identification and analysis.
Bollinger Bands: Consists of a middle band (typically a simple moving average) and upper and lower bands, which represent volatility levels of the market.
Supertrend: A trailing stop able to identify the current direction of the trend.
Linear Regression: Fits a straight line to past data points to predict future price movements and identify trend direction.
🔹Market Structures
Market Structures: Analyzes the overall pattern of price movements, including Break of Structure (BOS), Market Structure Shifts (MSS), also referred to as Change of Character (CHoCH), aiding in identifying potential market turning and continuation points.
🔹The Normalization Technique
The normalization technique employed for trend indicators relies on buy-sell signals. The script tracks price movements and normalizes them based on these signals.
normalize(buy, sell, smooth)=>
var os = 0
var float max = na
var float min = na
os := buy ? 1 : sell ? -1 : os
max := os > os ? close : os < os ? max : math.max(close, max)
min := os < os ? close : os > os ? min : math.min(close, min)
ta.sma((close - min)/(max - min), smooth) * 100
In this Pine Script snippet:
The variable os tracks market sentiment, taking a value of 1 for buy signals and -1 for sell signals, indicating bullish and bearish sentiments, respectively.
max and min are used to identify extremes in sentiment and are updated based on changes in os . When market sentiment shifts from buying to selling (or vice versa), max and min adjust accordingly.
Normalization is achieved by comparing current price levels to historical extremes in sentiment. The result is smoothed by default using a 3-period simple moving average. Users have the option to customize the smoothing period via the script settings input menu.
🔶 SETTINGS
🔹Generic Settings
Timeframe: This option selects the timeframe for calculating sentiment. If a timeframe lower than the chart's is chosen, calculations will be based on the chart's timeframe.
Horizontal Offset: Determines the distance at which the visual components of the indicator will be displayed from the primary chart.
Gradient Colors: Allows customization of gradient colors.
🔹Indicators Sentiment Panel
Indicators Sentiment Panel: Toggle the visibility of the indicators sentiment panel.
Panel Height: Determines the height of the panel.
🔹Market Sentiment Meter
Market Sentiment Meter: Toggle the visibility of the market sentiment meter (technical ratings in the shape of a speedometer).
🔹Market Sentiment Oscillator
Market Sentiment Oscillator: Toggle the visibility of the market sentiment oscillator.
Show Divergence: Enables detection of divergences based on the selected option.
Oscillator Line Width: Customization option for the line width.
Oscillator Height: Determines the height of the oscillator.
🔹Settings for Individual Components
In general,
Source: Determines the data source for calculations.
Length: The period to be used in calculations.
Smoothing: Degree of smoothness of the evaluated values.
🔹Normalization Settings - Trend Indicators
Smoothing: The period used in smoothing normalized values, where normalization is applied to moving averages, Bollinger Bands, Supertrend, VWAP bands, and market structures.
🔶 LIMITATIONS
Like any technical analysis tool, the Market Sentiment Technicals indicator has limitations. It's based on historical data and patterns, which may not always accurately predict future market movements. Additionally, market sentiment can be influenced by various factors, including economic news, geopolitical events, and market psychology, which may not be fully captured by technical analysis alone.
MetaFOX DCA (ASAP-RSI-BB%B-TV)Welcome To ' MetaFOX DCA (ASAP-RSI-BB%B-TV) ' Indicator.
This is not a Buy/Sell signals indicator, this is an indicator to help you create your own strategy using a variety of technical analyzing options within the indicator settings with the ability to do DCA (Dollar Cost Average) with up to 100 safety orders.
It is important when backtesting to get a real results, but this is impossible, especially when the time frame is large, because we don't know the real price action inside each candle, as we don't know whether the price reached the high or low first. but what I can say is that I present to you a backtest results in the worst possible case, meaning that if the same chart is repeated during the next period and you traded for the same period and with the same settings, the real results will be either identical to the results in the indicator or better (not worst). There will be no other factors except the slippage in the price when executing orders in the real trading, So I created a feature for that to increase the accuracy rate of the results. For more information, read this description.
Below I will explain all the properties and settings of the indicator:
A) 'Buy Strategies' Section: Your choices of strategies to Start a new trade: (All the conditions works as (And) not (OR), You have to choose one at least and you can choose more than one).
- 'ASAP (New Candle)': Start a trade as soon as possible at the opening of a new candle after exiting the previous trade.
- 'RSI': Using RSI as a technical analysis condition to start a trade.
- 'BB %B': Using BB %B as a technical analysis condition to start a trade.
- 'TV': Using tradingview crypto screener as a technical analysis condition to start a trade.
B) 'Exit Strategies' Section: Your choices of strategies to Exit the trades: (All the conditions works as (And) not (OR), You can choose more than one, But if you don't want to use any of them you have to activate the 'Use TP:' at least).
- 'ASAP (New Candle)': Exit a trade as soon as possible at the opening of a new candle after opening the previous trade.
- 'RSI': Using RSI as a technical analysis condition to exit a trade.
- 'BB %B': Using BB %B as a technical analysis condition to exit a trade.
- 'TV': Using tradingview crypto screener as a technical analysis condition to exit a trade.
C) 'Main Settings' Section:
- 'Trading Fees %': The Exchange trading fees in percentage (trading Commission).
- 'Entry Price Slippage %': Since real trading differs from backtest calculations, while in backtest results are calculated based on the open price of the candle, but in real trading there is a slippage from the open price of the candle resulting from the supply and demand in the real time trading, so this feature is to determine the slippage Which you think it is appropriate, then the entry prices of the trades will calculated higher than the open price of the start candle by the percentage of slippage that you set. If you don't want to calculate any slippage, just set it to zero, but I don't recommend that if you want the most realistic results.
Note: If (open price + slippage) is higher than the high of the candle then don't worry, I've kept this in consideration.
- 'Use SL': Activate to use stop loss percentage.
- 'SL %': Stop loss percentage.
- 'SL settings options box':
'SL From Base Price': Calculate the SL from the base order price (from the trade first entry price).
'SL From Avg. Price': Calculate the SL from the average price in case you use safety orders.
'SL From Last SO.': Calculate the SL from the last (lowest) safety order deviation.
ex: If you choose 'SL From Avg. Price' and SL% is 5, then the SL will be lower than the average price by 5% (in this case your SL will be dynamic until the price reaches all the safety orders unlike the other two SL options).
Note: This indicator programmed to be compatible with '3COMMAS' platform, but I added more options that came to my mind.
'3COMMAS' DCA bots uses 'SL From Base Price'.
- 'Use TP': Activate to use take profit percentage.
- 'TP %': Take profit percentage.
- 'Pure TP,SL': This feature was created due to the differences in the method of calculations between API tools trading platforms:
If the feature is not activated and (for example) the TP is 5%, this means that the price must move upward by only 5%, but you will not achieve a net profit of 5% due to the trading fees. but If the feature is activated, this means that you will get a net profit of 5%, and this means that the price must move upward by (5% for the TP + the equivalent of trading fees). The same idea is applied to the SL.
Note: '3COMMAS' DCA bots uses activated 'Pure TP,SL'.
- 'SO. Price Deviation %': Determines the decline percentage for the first safety order from the trade start entry price.
- 'SO. Step Scale': Determines the deviation multiplier for the safety orders.
Note: I'm using the same method of calculations for SO. (safety orders) levels that '3COMMAS' platform is using. If there is any difference between the '3COMMAS' calculations and the platform that you are using, please let me know.
'3COMMAS' DCA bots minimum 'SO. Price Deviation %' is (0.21)
'3COMMAS' DCA bots minimum 'SO. Step Scale' is (0.1)
- 'SO. Volume Scale': Determines the base order size multiplier for the safety orders sizes.
ex: If you used 10$ to buy at the trade start (base order size) and your 'SO. Volume Scale' is 2, then the 1st SO. size will be 20, the 2nd SO. size will be 40 and so on.
- 'SO. Count': Determines the number of safety orders that you want. If you want to trade without safety orders set it to zero.
'3COMMAS' DCA bots minimum 'SO. Volume Scale' is (0.1)
- 'Exchange Min. Size': The exchange minimum size per trade, It's important to prevent you from setting the base order Size less than the exchange limit. It's also important for the backtest results calculations.
ex: If you setup your strategy settings and it led to a loss to the point that you can't trade any more due to insufficient funds and your base order size share from the strategy becomes less than the exchange minimum trade size, then the indicator will show you a warning and will show you the point where you stopped the trading (It works in compatible with the initial capital). I recommend to set it a little bit higher than the real exchange minimum trade size especially if you trade without safety orders to not stuck in the trade if you hit the stop loss
- 'BO. Size': The base order size (funds you use at the trade entry).
- 'Initial Capital': The total funds allocated for trading using your strategy settings, It can be more than what is required in the strategy to cover the deficit in case of a loss, but it should not exceed the funds that you actually have for trading using this strategy settings, It's important to prevent you from setting up a strategy which requires funds more than what you have. It's also has other important benefits (refer to 'Exchange Min. Size' for more information).
- 'Accumulative Results': This feature is also called re-invest profits & risk reduction. If it's not activated then you will use the same funds size in each new trade whether you are in profit or loss till the (initial capitals + net results) turns insufficient. If it's activated then you will reuse your profits and losses in each new trade.
ex: The feature is active and your first trade ended with a net profit of 1000$, the next trade will add the 1000$ to the trade funds size and it will be distributed as a percentage to the BO. & SO.s according to your strategy settings. The same idea in case of a loss, the trade funds size will be reduced.
D) 'RSI Strategy' Section:
- 'Buy': RSI technical condition to start a trade. Has no effect if you don't choose 'RSI' option in 'Buy Strategies'.
- 'Exit': RSI technical condition to exit a trade. Has no effect if you don't choose 'RSI' option in 'Exit Strategies'.
E) 'TV Strategy' Section:
- 'Buy': TradingView Crypto Screener technical condition to start a trade. Has no effect if you don't choose 'TV' option in 'Buy Strategies'.
- 'Exit': TradingView Crypto Screener technical condition to exit a trade. Has no effect if you don't choose 'TV' option in 'Exit Strategies'.
F) 'BB %B Strategy' Section:
- 'Buy': BB %B technical condition to start a trade. Has no effect if you don't choose 'BB %B' option in 'Buy Strategies'.
- 'Exit': BB %B technical condition to exit a trade. Has no effect if you don't choose 'BB %B' option in 'Exit Strategies'.
G) 'Plot' Section:
- 'Signals': Plots buy and exit signals.
- 'BO': Plots the trade entry price (base order price).
- 'AVG': Plots the trade average price.
- 'AVG options box': Your choice to plot the trade average price type:
'Avg. With Fees': The trade average price including the trading fees, If you exit the trade at this price the trade net profit will be 0.00
'Avg. Without Fees': The trade average price but not including the trading fees, If you exit the trade at this price the trade net profit will be a loss equivalent to the trading fees.
- 'TP': Plots the trade take profit price.
- 'SL': Plots the trade stop loss price.
- 'Last SO': Plots the trade last safety order that the price reached.
- 'Exit Price': Plots a mark on the trade exit price, It plots in 3 colors as below:
Red (Default): Trade exit at a loss.
Green (Default): Trade exit at a profit.
Yellow (Default): Trade exit at a profit but this is a special case where we have to calculate the profits before reaching the safety orders (if any) on that candle (compatible with the idea of getting strategy results at the worst case).
- 'Result Table': Plots your strategy result table. The net profit percentage shown is a percentage of the 'initial capital'.
- 'TA Values': Plots your used strategies Technical analysis values. (Green cells means valid condition).
- 'Help Table': Plots a table to help you discover 100 safety orders with its deviations and the total funds needed for your strategy settings. Deviations shown in red is impossible to use because its price is <= 0.00
- 'Portfolio Chart': Plots your Portfolio status during the entire trading period in addition to the highest and lowest level reached. It's important when evaluating any strategy not only to look at the final result, but also to look at the change in results over the entire trading period. Perhaps the results were worryingly negative at some point before they rose again and made a profit. This feature helps you to see the whole picture.
- 'Welcome Message': Plots a welcome message and showing you the idea behind this indicator.
- 'Green Net Profit %': It plots the 'Net Profit %' in the result table in green color if the result is equal to or above the value that you entered.
- 'Green Win Rate %': It plots the 'Win Rate %' in the result table in green color if the result is equal to or above the value that you entered.
- 'User Notes Area': An empty text area, Feel free to use this area to write your notes so you don't forget them.
The indicator will take care of you. In some cases, warning messages will appear for you. Read them carefully, as they mean that you have done an illogical error in the indicator settings. Also, the indicator will sometimes stop working for the same reason mentioned above. If that happens then click on the red (!) next to the indicator name and read the message to find out what illogical error you have done.
Please enjoy the indicator and let me know your thoughts in the comments below.
