Visible Range Support and Resistance [AlgoAlpha]🌟 Introducing the Visible Range Support and Resistance 🌟
Discover key support and resistance levels with the innovative "Visible Range Support and Resistance" indicator by AlgoAlpha! 🚀📈 This advanced tool dynamically identifies significant price zones based on the visible range of your chart, providing traders with crucial insights for making informed decisions.
Key Features:
Dynamic support and resistance levels based on visible chart range 📏
User-defined resolution for tailored analysis 🎯
Clear visual representation of significant key zones 🖼️
Easy integration with any trading strategy 💼
How to Use:
🛠 Add the Indicator : Add the indicator to favourites. Adjust settings like resolution and horizontal extension to suit your trading style.
📊 Market Analysis : Identify key support and resistance zones based on the highlighted areas. These zones indicate significant price levels where the market may react.
How it Works:
The indicator segments the price range into user-defined resolutions, analyzing the highest and lowest points to establish boundaries. It calculates the frequency of price action within these segments, highlighting key levels where price movements are least concentrated (areas where price tends to pivot). Customizable settings like resolution and horizontal extension allow for tailored analysis, while the intuitive visual representation makes it easy to spot potential support and resistance zones directly on your chart.
By leveraging this indicator, you can gain deeper insights into market dynamics and improve your trading strategy with data driven support and resistance analysis. Happy trading! 💹✨
Tìm kiếm tập lệnh với "liquidity"
Directional Pressure (maybexo)Liquidity Candles, observed in financial markets, display distinctive candlestick patterns that are noteworthy. These candles exhibit intentional price behavior aimed at triggering stop-loss orders and momentarily misleading traders. The pattern typically starts with a price movement against the current trend, activating stop-loss orders and capitalizing on liquidity from traders anticipating the prevailing trend. Subsequently, the price swiftly changes course, breaking and conclusively closing beyond the prior candle's range, often surprising unsuspecting traders.
Characteristics:
1. Liquidity Grab:
- Liquidity Candles initiate with a deliberate move against the existing trend, aimed at triggering stop-loss orders and gathering liquidity from traders who have placed stops in anticipation of the initial trend.
- Notably, the size of the wick in this liquidity grab is significant; a larger wick indicates a more substantial liquidity grab and can strengthen the indication of a potential market reversal.
2. Swift Reversal and Breakout:
- Following the liquidity grab, the price swiftly changes direction, breaking and conclusively closing above or below the previous candle's range.
3. Institutional Behavior:
- These candles are often linked to institutional trading behavior, suggesting potential involvement by significant market participants due to their distinct and deliberate price action.
// Diamonds
1. RSI Diamonds:
The RSI Diamonds represent RSI entering either overbought or oversold levels.
These Diamonds serve as an early indication for "Spooky Diamonds" as Spooky Diamonds can only form in these conditions
2. Spooky Diamonds:
The Spooky Diamonds highlight specific candle conditions, aiding in the identification of bullish or bearish momentum in the market while considering the RSI status.
Bullish Candle Momentum: The candle size is greater than the previous candle multiplied by a user-defined factor (filterMultiplier) and the closing price is higher than the opening price. This can suggest bullish momentum.
Bearish Candle Momentum: The candle size is greater than the previous candle multiplied by the filterMultiplier, and the closing price is lower than the opening price. This can suggest bearish momentum.
Important Notes:
The Candles + Diamonds should not be used in isolation as buy or sell signals but rather as additional information for your trading strategy.
The goal of this indicator is to provide a visual representation of RSI data and potential momentum during overbought or oversold conditions.
By utilizing the diamonds and candles, you can easily identify RSI levels and their interaction with candles, aiding in decision-making within your trading strategy.
Disclaimer: Always consider your risk tolerance and conduct thorough analysis before making any trading decisions.
Inspiration Credits:
Vanitati
Mr. Casino
🧠 Rogue BTC Dominance + BTC Price MonitorLiquidity never lies.
When whales are done pumping, they exit before price tanks, often during sideways chop or fake strength.
So we build a tracker that detects:
Volume drop during uptrend (distribution phase)
Exchange inflows of coins
Rising USDT.D while price holds → stealth exit
Divergence between price & on-chain flows
👁️ Quick Use Case: BTC/USDT with USDT.D Overlay
If you see this pattern:
BTC sideways or slow uptrend
Volume declining
USDT.D rising
BTC.D holding flat
→ Liquidity Exit Detected.
Smart money is exiting quietly, waiting for retail to hold the bag.
Liquidity Sweeps (Improved)this is improved version of liqudity sweep and alert thois is my third attempt
Multi-Timeframe Sweep IndicatorsLiquidity Sweeps: Identify when price sweeps stops above/below key levels
Breakout Confirmation: Confirm breakouts across multiple timeframes
Entry Timing: Use lower timeframe sweeps for precise entries
Risk Management: Higher timeframe sweeps may indicate stronger moves
The indicator works best when combined with other analysis techniques like support/resistance levels, volume analysis, and market structure.
Liquidity Fvg IdentifierDear Traders,
This indicator is very effective and supports Price action Traders.
Swing Identification
This automatically Detect swings level and mark as per the chart Time frame. these lines can be used for support and resistance.This is represented by Yellow and Blue lines
There is an option to put Higher time frame swing levels and these are represented by Green and Red Lines. Eg: if you are trading in 5 mins and you also want 1 hour swing levels , then you can get this by selecting higher time frame 1 hour and select both Chart and Htf in the option provided.
Trade: If price is approaching where both Times frames swing lines are coinciding these levels act as strong Support and Resistance . You need to wait for proper price action to form and take Trades.
FVG
This also automatically detect Fare Value Gaps and mark as per the chart Time Frame. These can be used for reversal trades . This is represented buy purple blocks
There is an option to put higher time frame FVG and these are represented by Red Blocks. Eg : if you are trading in 15 mins and you also want 4 hours FVG, then you can get this by selecting Higher time frame 4 hours and select both chart and HTF in the option provided.
Trade: If price is approaching where both time frames FVG are coinciding , these box will act as strong support and reversal. wait for proper price action and trade can be taken.
Volume Breakout.
This will automatically detect and volume breakout of last 60 candles and plots below the candle. These can be adjusted in setting as per requirement. suppose you want for last 30 candles , you can select 30 and it will plot below candle when ever there is breakout.
Trade: When ever volume breakout is coming near swing or fvg support or resistance , this can be considered to support reversal.
Pls take your financial advisor suggesting before using taking trades .
any suggestion reach to us thru message
Thanks
Liquidity Levels [LuxAlgo]The Peak Activity Levels indicator displays support and resistance levels from prices accompanied by significant volume. The indicator includes a histogram returning the frequency of closing prices falling between two parallel levels, each bin shows the number of bullish candles within the levels.
1. Settings
Length: Lookback for the detection of volume peaks.
Number Of Levels: Determines the number of levels to display.
Levels Color Mode: Determines how the levels should be colored. "Relative" will color the levels based on their location relative to the current price. "Random" will apply a random color to each level. "Fixed" will use a single color for each level.
Levels Style: Style of the displayed levels. Styles include solid, dashed, and dotted.
1.1 Histogram
Show Histogram: Determines whether to display the histogram or not.
Histogram Window: Lookback period of the histogram calculation.
Bins Colors: Control the color of the histogram bins.
2. Usage
The indicator can be used to display ready-to-use support and resistance. These are constructed from peaks in volume. When a peak occurs, we take the price where this peak occurred and use it as the value for our level.
If one of the levels was previously tested, we can hypothesize that the level might be used as support/resistance in the future. Additional analysis using volume can be done in order to confirm a potential bounce.
The histogram can return various information to the user. It can show if the price stayed within two levels for a long time and if the price within two levels was mostly made of bullish or bearish candles.
In the chart above, we can see that over the most recent 200 bars (determined by Histogram Window) 68 closing prices fall between levels A and B, with 27 bars being bullish.
Additionally, the width of a bin and its length can sometimes give information about the volatility of a specific price variation. If a bin is very wide but short (a low number of closing prices fallen within the levels) then we can conclude a most of the movement was done on a short amount of time.
First-Move-Wrong Toolkit [CHE] First-Move-Wrong Toolkit — Session-bound sweep rejection with structure confirmation
Summary
This indicator marks potential “first move wrong” reversals during a defined trading session. It looks for a quick sweep beyond the prior day high or low, or the opening range high or low, followed by rejection and a basic structure confirmation. Optional rules require a retest and a VWAP reclaim in the direction of the trade idea. The script renders session levels as right-extended lines, signals as labels, optional SL/TP guide lines for visualization, and background tints during sweep events. Pivots are confirmed using swing width, which reduces repaint risk compared to live swings.
Motivation: Why this design?
Intraday reversals often start with a liquidity sweep around obvious highs or lows. Acting on the sweep alone can be noisy, while waiting for structure break and a retest can be slow. This tool balances both by checking a sweep and rejection at session-relevant levels, then requiring a simple structure cue and, optionally, a retest and a VWAP filter. The goal is a clear, rule-based signal layer that is easy to audit on chart without hidden state.
What’s different vs. standard approaches?
Baseline reference: Simple sweep detectors or basic CHOCH markers that ignore session context and liquidity anchors.
Architecture differences:
Session-aware opening range tracking that finalizes after the chosen minutes from session start.
Daily previous high and low pulled without lookahead, then extended forward as visual anchors.
Confirmed pivot highs and lows to avoid repaint from live, unconfirmed swings.
Optional retest rule using crossover or crossunder at the trigger level.
Optional VWAP filter to demand reclaim in the intended direction.
Global label cooldown to prevent clusters of signals.
Practical effect: Fewer one-off flips around noisy levels, clearer alignment with session structure, and compact visual feedback through lines, labels, and tints.
How it works (technical)
Levels: During the defined session, the script builds an opening range high and low until the configured minute mark after session start, then freezes those levels for the day. It also fetches the previous day high and low from the daily timeframe without lookahead and extends them forward.
Sweep and rejection: A sweep is defined as price moving beyond a target level and then rejecting back inside on the same bar. The script checks this condition separately for highs and lows against opening range and previous-day levels.
Structure validation: Confirmed pivot highs and lows are computed using a symmetric swing width. A bearish idea requires a prior sweep of a high plus a break through the last confirmed swing low. A bullish idea requires a prior sweep of a low plus a break through the last confirmed swing high.
Optional retest: If enabled, a bearish signal needs a cross under the bearish trigger level; a bullish signal needs a cross over the bullish trigger level.
VWAP filter (optional): The script requires a reclaim of VWAP in the intended direction when enabled.
State handling: Opening range values, previous-day lines, and the label cooldown timestamp are stored in persistent variables. Lines are created once and updated each bar to extend forward.
Repaint considerations: Pivots confirm only after the specified swing width, reducing repaint. The daily level request is performed without lookahead. Signals use closed-bar checks implied by crossover and crossunder logic.
Parameter Guide
Session (local) — Defines the active trading window. Default nine to seventeen. Narrower windows focus on the main session drive.
Opening Range (min) — Minutes from session start to finalize OR levels. Default fifteen. Shorter values react faster; longer values stabilize levels.
Use PrevDay H/L levels — Toggle previous-day anchors. On by default.
Use OR H/L levels — Toggle opening range anchors. On by default.
Equal H/L tolerance (ticks) — Intended tolerance for equal highs or lows. Default one. (Unknown/Optional) in current signals.
Swing width — Bars on both sides for confirmed pivots. Default two. Larger values reduce noise but confirm later.
Require CHOCH after sweep — Enforces structure break after a sweep. On by default.
Prefer retest entries — Requires crossover or crossunder of the trigger level. On by default.
VWAP filter — Demands a reclaim of VWAP in signal direction. Off by default.
TP in R (guide) — Multiplier for visual TP guides. Default one. Visualization only.
Show levels / Show signals / Show R-guides — Rendering toggles. R-guides are visual aids, not orders.
Label cooldown (bars) — Minimum bars between labels. Default five. Higher values reduce clusters.
Palette inputs — Colors and transparencies for levels, labels, VWAP, and tints.
Reading & Interpretation
Lines: Dotted lines represent opening range high and low after the OR window completes. Dashed lines represent previous-day high and low.
Signals: “Long” labels appear after a low-side sweep with rejection and structure confirmation, subject to optional retest and VWAP rules. “Short” labels mirror this on the high side.
Background tints: Red-tinted bars indicate a high-side sweep and rejection. Green-tinted bars indicate a low-side sweep and rejection.
R-guides: Circles display a visual stop level at the bar extreme and a target guide based on the selected multiple. They are informational only.
Practical Workflows & Combinations
Session reversal scans: During the first hour, watch for sweeps around previous-day or opening range levels, then wait for structure confirmation and optional retest.
Trend following with filters: Combine signals with higher-timeframe structure or a moving average regime check. Ignore signals against the dominant regime.
Exits and stops: Use the visual stop as a reference near the sweep extreme; adapt the target guide to volatility and market conditions.
Multi-asset / Multi-TF: Works on intraday timeframes for liquid futures, indices, forex, and large-cap equities. Start with default settings and adjust swing width and OR minutes to instrument volatility.
Behavior, Constraints & Performance
Repaint/confirmation: Pivots confirm after the swing window completes. Signals occur only when conditions are met on closed bars.
security()/HTF: Daily previous-day levels are requested without lookahead to reduce repaint.
Resources: Uses persistent variables and line updates per bar; no heavy loops or arrays.
Known limits: Signals can arrive later when swing width is large. Gaps around session boundaries may distort OR levels. VWAP behavior may vary with partial sessions or illiquid assets.
Sensible Defaults & Quick Tuning
Starting point: Session nine to seventeen, opening range fifteen minutes, swing width two, CHOCH required, retest on, VWAP off, cooldown five bars.
Too many flips: Increase swing width, enable VWAP filter, or raise label cooldown.
Too sluggish: Reduce swing width or shorten the opening range window.
Too many session-level hits: Disable either previous-day levels or opening range levels to simplify context.
What this indicator is—and isn’t
This is a session-aware visualization and signal layer focused on sweep-plus-structure behavior. It is not a complete trading system and does not manage orders, risk, or portfolio exposure. Use it with market structure, risk limits, and execution rules that fit your process.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Fractal Model [Message for Invite]Fractal Model - Higher Timeframe Analysis with Market Structure Labelling
A higher timeframe candle visualization tool enhanced with fractal pattern detection and market structure labelling system for pivot-based price action analysis.
What This Script Does:
This indicator displays higher timeframe candles on your current chart and identifies key pivot formations using a systematic labeling approach. It helps traders understand market structure and potential reversal points through comprehensive pivot analysis.
Key Features:
• Higher Timeframe Visualization: Shows HTF candles without switching timeframes
• Market Structure Labeling: Identifies pivot components with C2, C3, and C4 labels
• Fractal Pattern Detection: Marks areas where price is likely to form wicks based on pivot logic
• Sweep Confirmation: Detects when price sweeps previous levels but closes opposite
• Fair Value Gap Detection: Identifies imbalance zones between candle ranges
• Alert System: Sends alerts when fractal pattern formations are confirmed using pivot logic
• Silver Fractal Pattern Alerts: Special alerts during specific market hours
Brief Description of Most Terms
How Market Structure Labelling Works:
The labelling system identifies pivot formations based on their structure:
• C2: The pivot candle that "sticks out" - this is the candle that creates the pivot point using standard pivot logic
• C3: The distribution candle that follows a 3-candle pivot formation - this is where we expect distribution or sharp moves after the sticking out candle
• C4: The distribution candle that follows a 4+ candle pivot formation - this is where we expect distribution or sharp moves after the sticking out candle (used when the pivot extends beyond 3 candles)
CISD (Candle In Series Distribution):
CISD represents price recovering from the aggressive move that went into a higher timeframe candle extreme. It's the price action that follows after a significant move into a HTF level, showing how the market distributes or consolidates after the initial aggressive move.
Fair Value Gaps (FVG):
FVG identifies imbalance zones between candle ranges where price left a gap. These zones often act as support/resistance levels and are areas where price tends to return to fill the imbalance.
Volume Imbalance (VI):
Volume Imbalance detection identifies areas where there's an imbalance in volume between candles, often indicating institutional activity or significant order flow changes.
Projections:
The indicator calculates projection levels based on the range of the series that was broken. These projections extend from the break point and can help identify potential target levels for price movement.
Sweep Logic:
A sweep occurs when price breaks a previous high or low but then closes back in the opposite direction, creating a "wick" or "liquidity grab." This often indicates that the level was tested and rejected, potentially leading to a reversal.
Silver Fractal Patterns:
Special fractal patterns that occur during specific market hours (4th-5th candle of the trading day or 4th candle after 1PM ET). These patterns have additional confirmation requirements and are considered higher probability setups due to their timing in relation to market structure.
Position Sizing:
The indicator includes position sizing calculations based on risk parameters, helping traders determine appropriate position sizes based on their account balance and risk tolerance.
Alert System:
The indicator provides alerts when:
• Fractal pattern formations are created and confirmed
• Price sweeps fractal pattern levels with proper confirmation
• Silver fractal pattern formations occur during specific market hours
• Fractal pattern sweep confirmations are triggered
Practical Usage:
1. Add the indicator to your chart
2. Watch for fractal pattern formations (highlighted zones)
3. Look for C2, C3, C4 labels to understand pivot structure
4. Use sweep confirmations for entry timing
5. Set up alerts for fractal pattern confirmations and sweeps
Technical Implementation:
Logarithmic Midpoint Calculation:
The fractal pattern levels are calculated using logarithmic midpoint analysis:
• Log Values: log_high = ln(high), log_low = ln(low), log_open = ln(open), log_close = ln(close)
• Wick Analysis: upper_wick = log_high - max(log_open, log_close), lower_wick = min(log_open, log_close) - log_low
• Body Size: body_size = |log_close - log_open|
• Midpoint Logic: If max(upper_wick, lower_wick) > body_size, use wick-based midpoint; otherwise use (log_high + log_low)/2
• Final Level: Fractal pattern level = exp(log_mid_level)
Fractal Pattern Formation Conditions:
The indicator detects several types of fractal patterns:
Standard Patterns:
• Standard Bearish: last_closed.h > prev_closed.h AND last_closed.c < prev_closed.h
• Standard Bullish: last_closed.l < prev_closed.l AND last_closed.c > prev_closed.l
Expansive Patterns (Higher timeframe context):
• Expansive Bearish: prev_closed.h > prev_prev_closed.h AND last_closed.c < max(prev_closed.o, prev_closed.c)
• Expansive Bullish: prev_closed.l < prev_prev_closed.l AND last_closed.c > min(prev_closed.o, prev_closed.c)
Pro-trend Patterns (Midpoint-based):
• Pro-trend Bearish: last_closed.h > mid_level AND last_closed.h < prev_closed.o AND last_closed.c < prev_closed.l
• Pro-trend Bullish: last_closed.l < mid_level AND last_closed.l > prev_closed.o AND last_closed.c > prev_closed.h
Sweep Confirmation Logic:
• Pivot Detection: Uses ta.pivothigh(high, 1, 2) and ta.pivotlow(low, 1, 2)
• Touch Detection: Price must touch fractal pattern level (high > level OR open > level) AND close opposite
• Confirmation Requirements: Pivot must form before touch, close must break beyond pivot level
• Alert Trigger: Sweep confirmed when all conditions are met
Silver Fractal Pattern Conditions:
Special fractal patterns during specific market hours (4th-5th candle of day or 4th candle after 1PM ET) with additional confirmation requirements.
HTF Auto-Detection:
Automatically selects appropriate higher timeframes: 1m→15m, 3m→30m, 5m→1h, 15m→4h, 30m-1h→1D, 4h-8h→1W, 1D→1M.
Based on HTF Candles by Fadi, enhanced with fractal pattern detection, sweep logic, market structure labeling system, and comprehensive alert functionality
Note: This tool is for educational purposes and should be used in conjunction with proper risk management and market analysis.
Premarket Gapper Swing Filter (Long) – v6here’s a plug-and-play Pine Script v5 “screener” you can drop on any chart to flag pre-market gainers that also meet swing-friendly trend/liquidity filters. It works as a chart-level scanner (since Pine can’t screen the whole market by itself): add it to a watchlist; symbols that qualify will light up and you can set alerts to ping you right at the opening bell.
Liquidity_Detection_Fx_Shepherd [ALLDYN]### Breakdown of the Basic "Fx_Shepherd_Liquidity" Script
#### 1. **Purpose of the Script:**
This basic version of the "Fx_Shepherd_Liquidity" script is designed to help traders detect potential liquidity grabs by analyzing price movements and candle patterns in the market. It works by identifying large price deviations and compares multiple candles to detect liquidity sweeps either to the upside or downside.
#### 2. **How it Works:**
- **User Inputs:**
- `Maru_rate`: This is a user-defined percentage that helps determine how much the price movement of a candle needs to deviate from the candle's range (high - low) to be considered a liquidity grab.
- `Compare`: Another percentage input used to compare the relative size of three candles versus one candle.
- `MA`: This represents the "Big candle period," or the moving average period for big candles.
- `urgent_rate`: This is used to determine urgency by comparing the current candle's range to an SMA of previous candles.
- **Key Calculation Steps:**
- **Candle Deviation (Up and Down):**
- `Up` measures how much the current candle closes above its open (bullish deviation).
- `Down` measures how much the current candle closes below its open (bearish deviation).
- **Average Deviations:**
- `UP_Sum` and `Do_Sum` calculate the SMA of Up and Down deviations, respectively, over the defined period (MA). These averages help detect when a candle deviates significantly from the norm.
- **Urgency Detection:**
- `Check_Up_Urgent` and `Check_Dow_Urgent` are conditions that check if the current candle’s high-low range exceeds the defined urgent rate. This signals whether the price movement is "urgent" or significant.
- **Liquidity Detection:**
- **For Upward Liquidity:**
- The script checks if the candle is bullish (`close > open`) and whether the price deviation (`close - open`) meets or exceeds the user-defined `Maru_rate`.
- The script then compares the size of the previous three candles (`high - low`) with a single candle (`Compare`) to confirm a liquidity grab.
- Finally, it looks for continuous upward candle patterns to confirm the strength of the move.
- **For Downward Liquidity:**
- Similar logic applies, but for bearish candles. It checks whether the candle is bearish (`close < open`) and applies the same size comparisons to detect downward liquidity grabs.
- **Candle Highlighting:**
- If the conditions for a liquidity grab are met (both urgency and size), the script changes the bar color to green for upward liquidity and yellow for downward liquidity. These colored bars visually highlight the candles that meet the liquidity grab conditions.
- The script also colors up to three consecutive candles if they meet the liquidity grab conditions (offset = -1, -2).
#### 3. **Benefits of Using This Script:**
- **Liquidity Grab Detection:**
This script helps detect potential liquidity grabs, which occur when large players in the market push the price in a direction to trigger stop-losses or lure retail traders into a position before reversing the price direction. By detecting these movements, traders can avoid being trapped and potentially take advantage of the upcoming reversal.
- **Simple & Lightweight:**
The script uses basic inputs and calculations to detect liquidity grabs, making it easy to use and understand. It's less complex than the advanced version, which makes it suitable for traders who prefer simplicity or are new to liquidity grab detection.
- **Visual Clarity:**
The script uses color changes (green for upward grabs and yellow for downward grabs) to help traders easily spot potential liquidity grab areas on the chart. These visual cues make it more straightforward to interpret.
#### 4. **When to Use This Basic Version:**
- **Quick Liquidity Detection:** This script is ideal for traders who need a quick way to detect potential liquidity grabs without the complexity of managing dynamic parameters or volume confirmation.
- **Simplified Trading Strategies:** If your trading strategy doesn’t rely heavily on volume or multi-timeframe liquidity grab adjustments, this script can work well for basic setups where price action is the primary indicator.
- **Faster Execution:** Since this version doesn’t require dynamic adjustments or volume confirmation, it executes faster, making it suitable for traders who need lightweight tools to stay on top of fast-moving markets.
### Conclusion:
The basic version of the **Fx_Shepherd_Liquidity** script offers a simplified tool for detecting potential liquidity grabs. Its straightforward design, adjustable Maru rate, and visual bar color changes make it easy to integrate into any trading strategy focused on price action. While it lacks the advanced features of the premium version, it serves as a solid, lightweight solution for traders who prefer simplicity over complexity.
Bitcoin Power Law Global Liqudity Model by G. SantostasiIn recent studies, we've observed a notable correlation between Bitcoin's price and global liquidity metrics. This relationship reveals significant insights into Bitcoin's price movements and offers a new perspective on using macroeconomic indicators to understand and predict Bitcoin's market trends.
Our analysis shows that Bitcoin's price exhibits periodic bubbles, which seem closely associated with oscillations in global liquidity. Notably, the overall price path of Bitcoin appears to be a complex function of global liquidity. This relationship is not as simple as the Bitcoin Power Law in time that can be described with a simple equation, Price ∼ time⁶.
Instead, we have developed a polynomial model to describe this complex relationship between liquidity and Bitcoin price. With a 4-degree polynomial (with 5 different parameters needed to fit the data), we can get a decent fit to the data.
The fit is obtained using 500 data points by polynomial regression. The vector coefficients of the polynomial are obtained such that the sum of squared error between the observations and theoretical polynomial model is minimized.
This model needs to be taken with a grain of salt given the warning by famous mathematician Von Neumann: "With four parameters I can fit an elephant, and with five I can make him wiggle his trunk." discussing a model created by Italian Physicist Fermi. By this he meant that the Fermi simulations relied on too many input parameters, presupposing an overfitting phenomenon.
We can still gain some insights into the relationship between Global Liquidity and the price evolution of Bitcoin using this complex model.
When the price of Bitcoin is plotted against our global liquidity index, we observe a polynomial relationship. This model allows us to see when Bitcoin's price deviates significantly from the predicted value based on global liquidity:
Above the Model: When Bitcoin's price is above the polynomial fit, it indicates a potential lack of sufficient liquidity to support the current price level, suggesting a likely correction.
Below the Model: Conversely, when the price is below the fit, it implies that liquidity might be higher than what is reflected in the price, indicating potential upward movement.
Our global liquidity index comprises several key macroeconomic metrics from major financial institutions worldwide. Here are some of the major components:
RRP (Reverse Repurchase Agreements): This metric indicates the level of liquidity in the financial system through temporary sales of securities with an agreement to repurchase them.
FED (Federal Reserve System): Represents the balance sheet of the US central bank, reflecting its monetary policy actions.
TGA (Treasury General Account): Reflects the US Treasury’s cash balance, impacting the liquidity in the banking system.
PBC (People's Bank of China): Shows the monetary policy actions and liquidity management by China’s central bank.
ECB (European Central Bank): Represents the balance sheet and liquidity management actions of the Eurozone's central bank.
BOJ (Bank of Japan): Reflects Japan's central bank's monetary policy and liquidity measures.
Other Central Banks: Includes metrics from various other central banks like the Bank of England, Bank of Canada, Reserve Bank of Australia, etc.
M2 Money Supply: This includes money supply metrics from various countries like the USA, Europe, China, Japan, and other significant economies.
These components collectively provide a comprehensive view of global liquidity, which is crucial for understanding its impact on Bitcoin's price.
Using the polynomial model and the author's Bitcoin power law model we can create 2 oscillators, one that shows deviations from the trend (normalized to the price to make the peaks more uniform) and the other showing deviations of the polynomial liquidity model from the power law trend.
The oscillators show the difference between the price and the power law model relative to the price, Orange Line. The Blue Line is instead the difference between the Global Liquidity Model of the price and the power law model relative to the model itself. The two oscillators can be overlayed to show their differences and similarities.
Analysis: In addition to similar observations from the discussion above we can see that most Bitcoin bottoms are not directly associated with bottoms in the liquidity model indicating a different mechanism at play that determines Bitcoin bottoms (probably due to miners' capitulation).
Using the new force_overlay function we plot the polynomial liquidity model directly over the Bitcoin price chart while we display the 2 oscillators in a separate panel.
CandelaCharts - Unicorn Model📝 Overview
The Unicorn Model is an advanced indicator that pinpoints high-probability reversal setups based on the ICT Unicorn formation. It uses a zigzag-based structure to detect engineered liquidity grabs followed by sharp displacements in the opposite direction—ideal for fade entries or the start of new trends.
The indicator is enhanced with macro time filters, allowing it to align model detections with key trading sessions and institutional flow windows.
The ICT Unicorn Model is a precision-driven intraday strategy rooted in smart money concepts. It combines time-of-day sensitivity, engineered liquidity runs, and institutional order flow to uncover high-quality trading opportunities.
📦 Features
Liquidity Levels: Projects forward-looking liquidity zones after a Unicorn model is confirmed, highlighting potential price targets. These zones act as magnet areas where price is likely to be drawn, helping traders manage exits, partials, and re-entries with greater precision.
Unicorn: The Unicorn formation utilizes a smart money framework and a dynamic zigzag detection method to identify engineered liquidity grabs—sharp sweeps of previous highs or lows—followed by impulsive reversals.
Macros: These time-based intervals represent key moments when institutional algorithms are most active, seeking liquidity, rebalancing, or delivering price to key levels like fair value gaps and liquidity pools.
Custom TF Pairing: Choose your preferred combination of entry timeframe and context timeframe. For example, trade 5m setups within a 1h HTF bias, allowing precise alignment of microstructure with broader directional intent.
HTF & LTF PD Arrays: Displays high- and low-timeframe PD Arrays (e.g., Fair Value Gaps, Inversion Fair Value Gaps) that act as zones of interest or rejection, enhancing confluence and risk control.
History: Backtest previous Unicorn setups directly on the chart. Toggle historical models to analyze past behavior, improve your confidence, and fine-tune your trade execution across varying market regimes.
Killzone Filter: Restrict signal generation to specific trading sessions or killzones (e.g., London Open, New York AM). This minimizes false positives in low-volume or overlapping ranges.
Standard Deviation: Dynamically calculates and plots four deviation bands from the model confirmation point. These levels offer insight into stretch targets, volatility bands, and potential mean-reversion zones.
Dashboard: A real-time control panel showing the active model, HTF candle timer, current directional bias, asset name, and session date—offering clarity and fast decision-making at a glance.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing that will be used
Length: Sets the maximum number of candles allowed for a model to develop
Labels: Display the model label (e.g., C1, C2, Cn)
Unicorn
Zigzag: Adjusts the length of the Zigzag formation
Breaker: Defines the style of Breaker Blocks
Sweeps
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
S-area: Highlights the sweep area
Liquidity
Liquidity: Displays the liquidity levels that belong to the model
History
History: Controls the number of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
NY Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
LTF
H/L Line: Displays on the LTF chart the High and Low of each HTF candle
O/C Line: Displays on the LTF chart the Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
Standard Deviation
StDev: Controls standard deviation of available levels
Labels: Controls the size of standard deviation levels
Anchor: Controls the anchor point of standard deviation levels (wick, body)
Lines: Controls the line widths and color of standard deviation levels
Dashboard
Panel: Display information about the current model
💡 Framework
The Unicorn Model analyzes price action by combining key elements to identify high-probability trade setups. It detects liquidity sweeps and uses a zigzag method to spot Breaker Blocks. The model maps PD Arrays like Fair Value Gaps and Inversion FVGs for precision zones, integrates macro time filters for context, and projects forward price targets based on liquidity clusters. Together, these components provide a clear framework to anticipate market trends and optimize entries and exits.
The model incorporates the following timeframe pairing:
15s - 5m
1m - 15m
1m - 30m
2m - 20m
3m - 30m
3m - 60m
5m - 1H
15m - 4H
15m - 8H
30m - 9H
30m - 12H
1H - 1D
2H - 2D
3H - 3D
4H - 1W
8H - 2W
12H - 3W
1D - 1M
2D - 2M
1W - 3M
2W - 6M
3W - 9M
1M - 12M
Below are the key components that make up the model:
Sweep
D-purge
Zigzag (Breaker)
PD Arrays (FVG, IFVG)
Macros
Standard Deviation
Liquidity
The Unicorn Model operates through a defined lifecycle that tracks its current stage, helping to assess the validity of potential trade opportunities.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Success (green)
Through the phases of Formation, Invalidation, and Success, traders can effectively manage positions, minimize risk, and capitalize on the high-probability setups presented by the Unicorn Model.
⚡️ Showcase
The Unicorn Model is an advanced trading framework designed to elevate your market analysis and increase your trading edge. By leveraging smart money concepts and sophisticated pattern detection, it helps you spot key liquidity sweeps, reversal zones, and high-probability setups, enabling more precise entries, exits, and risk management tailored to market structure.
LTF PD Array
LTF PD Arrays are crucial to the Unicorn Model and must align with the Zigzag Breaker for the setup to be considered valid.
HTF PD Array
Higher-Timeframe PD Arrays deliver essential macro context, serving to validate both the direction and momentum of potential reversals.
Timeframe Alignment
Timeframe alignment is a fundamental element of the Unicorn trading model. By integrating multi-timeframe context, the model effectively identifies high-probability models.
Killzone Filters
Filter Unicorn Models according to key market sessions—Asia, London, New York AM, New York Launch, and New York PM—to target periods of high liquidity. This approach improves the accuracy and timing of trade setups by capturing moments when smart money is most active.
Macros
The Unicorn Model uses ICT Macro Times to identify key trading periods when institutional activity is most intense. By syncing setups with these critical windows, the model improves accuracy and provides better context for entries, risk management, and potential reversals.
Gain a trading advantage with the Unicorn Model — your essential tool for clearer insights, smarter decision-making, and more confident trade execution.
🚨 Alerts
This script provides alert options for all model types, which must be configured within TradingView.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a 4 Zigzag points formation and a bearish Breaker.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a 4 Zigzag points formation and a bullish Breaker.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Support & Resistance GridTitle: Comprehensive Breakdown of an Advanced Support/Resistance and Liquidity Indicator for Enhanced Trading Performance
Introduction:
In the ever-evolving world of trading, market participants are constantly seeking innovative tools and indicators to enhance their decision-making process and improve their overall trading performance. One such remarkable tool that has gained significant traction amongst traders is an advanced support and resistance (S/R) and liquidity indicator. This powerful indicator offers a plethora of customizable options and unique features, enabling traders to efficiently mark up their charts and identify crucial market levels without the need to spend countless hours on manual analysis.
In this comprehensive breakdown, we will delve into the key features and functionalities of this advanced indicator and demonstrate how traders can leverage it to optimize their trading strategies and achieve better results in the market. While we will not be revealing the source code, we will provide an in-depth explanation of how the indicator performs and the various ways in which it can be used by traders.
Section 1: Support and Resistance Zones - The Backbone of Your Technical Analysis
1.1 Automated Chart Marking:
The primary advantage of this advanced indicator is its ability to automatically identify and mark up key support and resistance levels on a chart. Gone are the days when traders had to painstakingly analyze charts and manually mark crucial levels. This indicator saves traders valuable time and ensures a more accurate depiction of S/R zones, ultimately facilitating better-informed trading decisions.
1.2 Round Number Detection:
Another notable feature of this indicator is its ability to detect and highlight psychological levels or round numbers. As these levels often act as significant areas of support or resistance, having them automatically marked on the chart allows traders to concentrate on developing and executing their trading strategies without getting bogged down in the minutiae of identifying these levels.
1.3 Customizable Timeframes:
Recognizing the diverse needs of traders, this advanced indicator offers the flexibility to adjust the user input options and adapt the S/R zones to any timeframe. This functionality allows traders to tailor the indicator to their preferred trading style, whether they are scalping on lower timeframes or taking longer-term positions on higher timeframes.
1.4 Adjustable Pip Difference:
The option to increase or decrease the pip difference between the levels is a game-changer, as it allows traders to easily fine-tune the S/R zones to match the specific behavior of the market across various timeframes. With just a few clicks, traders can increase the pip difference on higher timeframes for a broader perspective, or decrease it on lower timeframes for a more granular view of the market.
1.5 Comprehensive Customization Options:
The advanced S/R indicator boasts a complete range of customizable options, ensuring that traders can tailor it to their unique needs and preferences. With the ability to solely rely on this indicator for marking up their charts, traders can streamline their technical analysis and focus on developing robust trading strategies.
1.6 Anticipating Trades with Limit and Stop Orders:
One of the many ways traders can leverage the S/R zones identified by this indicator is by placing limit and stop orders at these levels. This proactive approach enables traders to be prepared for potential market moves and take advantage of opportunities as they arise, rather than scrambling to react to unexpected price action.
1.7 Identifying Swing Points and Market Trends:
The customizable S/R zones also facilitate the identification of swing points, allowing traders to easily determine the trend direction or recognize ranging markets. This enhanced understanding of market structure can inform trading decisions and improve the overall effectiveness of a trader's strategy.
1.8 Visualization of Swing Points:
The ability to customize the S/R zones not only simplifies the process of identifying swing points but also enhances their visualization. This allows traders to quickly grasp the market structure and make informed decisions based on the prevailing market conditions.
Section 2: Liquidity Wicks - Uncovering Hidden Opportunities in the Market
2.1 Complementing Support and Resistance Zones:
The advanced indicator's liquidity wicks feature serves as an excellent complement to the S/R zones, providing traders with a comprehensive understanding of the market dynamics. By highlighting potential liquidity areas, traders can easily identify high-probability trading opportunities that may have otherwise gone unnoticed.
2.2 Magnetism of Liquidity:
Liquidity in the market often acts as a magnet for price, drawing it towards areas with higher trading volume. By visualizing these liquidity areas through the use of liquidity wicks, traders can anticipate price movements and adjust their strategies accordingly, seizing opportunities as they arise.
2.3 Trading Towards or Bouncing from Liquidity Wicks:
The combination of liquidity wicks and S/R zones empowers traders to take advantage of the market's inherent attraction to liquidity. Traders can either trade towards these wicks, anticipating price to be drawn to the liquidity, or trade based on a bounce from the high or low of the wicks, expecting price to reverse after reaching these areas.
2.4 Synergy of Liquidity Wicks and Support/Resistance Zones:
The relationship between liquidity wicks and S/R zones creates an invaluable synergy for traders. By looking for large liquidity wick bounces from S/R zones, traders can anticipate that price is likely to bounce again, thereby increasing the probability of successful trade execution. This integrated approach enables traders to identify and capitalize on high-probability trading opportunities in a more systematic manner.
Section 3: Bringing It All Together - Maximizing the Potential of the Advanced Indicator
3.1 Customization for Enhanced Trading Performance:
The extensive customization options offered by the advanced indicator allow traders to fine-tune their chart analysis to suit their individual trading styles and preferences. By adjusting the S/R zones, timeframes, and pip differences, traders can achieve an unparalleled level of precision in their technical analysis, ultimately enhancing their overall trading performance.
3.2 Anticipating and Preparing for Market Moves:
The advanced indicator enables traders to anticipate market moves and be prepared for potential opportunities by placing limit and stop orders at crucial levels. This proactive approach minimizes the risk of missing out on profitable trades and allows traders to stay ahead of the market.
3.3 Identifying and Capitalizing on High-Probability Trading Opportunities:
The combination of S/R zones and liquidity wicks empowers traders to identify high-probability trading opportunities and capitalize on them effectively. By integrating these features into their trading strategies, traders can significantly improve their success rate and overall profitability.
Conclusion:
In summary, the advanced support and resistance and liquidity indicator offer traders a powerful tool that can greatly enhance their trading performance. By automatically marking up charts, identifying key levels, and providing customizable options, this indicator allows traders to focus on developing and executing effective trading strategies. The synergy of S/R zones and liquidity wicks further enables traders to uncover hidden opportunities and capitalize on high-probability trades.
By understanding and leveraging the full potential of this advanced indicator, traders can streamline their technical analysis, improve their decision-making process, and ultimately give them a great change to achieve better results in the market.
Key levels + Session Range (Sweep-Aware Levels)Overview
This indicator provides a single, clean view of two core intraday contexts that day traders rely on:
Daily Liquidity Levels: prior day high/low (PDH/PDL), prior day open/close, weekly highs/lows, and other commonly referenced reference points.
Session Ranges: clearly plotted high/low for each active session (e.g., Asia, London, New York), tracked live as the session evolves.
By unifying these two information layers, traders can immediately see when price is sweeping a session’s extremes into known daily liquidity—a frequent precursor to reversals or continuation moves. This saves chart space, reduces cognitive overload, and turns two separate checks into one coherent read.
What it does
Plots daily liquidity references: previous day high/low, previous day open/close, and optional higher-timeframe levels (open, high, mid and low 4H ,Day, Week, month, year and quarterly).
Tracks session high/low live: as each session unfolds, the indicator updates that session’s running High and Low, then locks them at session end.
Maps interaction between the two layers: you can instantly spot session sweeps that tag PDH/PDL (or weekly extremes), highlight potential liquidity grabs, and frame risk with objective boundaries.
Keeps the chart clean: just essential lines/zones and concise labels—no extra clutter.
Why it’s useful & original
Single-purpose integration: Rather than a generic mashup, this is a purpose-built fusion where session dynamics are read in the context of daily liquidity. That relationship is the core edge—seeing when a session sweep aligns with known liquidity pools.
Workflow efficiency: One overlay replaces two indicators, simplifying visibility and reducing conflicting visuals.
Decision clarity: The combination highlights setups many intraday traders already watch manually (e.g., NY session high sweep into PDH), but makes them obvious in real time.
How it works (plain-English logic)
Daily Liquidity Engine
At the start of each day, the indicator records PDH, PDL, prior open/close and (optionally) prior week high/low.
These levels are plotted and extended across the session as static references.
Session Range Tracker
For each defined session (e.g., Asia/London/New York), the script initializes session High/Low at session open.
Throughout the session, it updates those extremes in real time and locks them on session close.
Interaction Layer
When price reaches or sweeps a session High/Low near a daily level (e.g., within your chosen tolerance), the confluence becomes visually obvious.
Traders can then decide whether it’s a likely liquidity grab (fade/reversal idea) or a continuation through the pool (breakout idea), per their plan.
How to use it
Identify session context: Start by noting where price is trading relative to the current session’s High/Low.
Locate nearby daily liquidity: Check distance to PDH/PDL, prior open/close, and weekly extremes.
Look for confluence:
Sweep-and-fade idea: Session High swept into PDH (or Session Low into PDL) with failure to hold → potential reversal context.
Break-and-go idea: Strong close through PDH/PDL following a session extreme break → potential continuation context.
Risk framing: Session High/Low and PDH/PDL provide objective anchors for stops and targets. Adapt to your own risk model (e.g., use ATR or structure-based stops).
Keep it clean: Use this as your primary overlay to avoid clutter; add confirmations (volume, structure) only if they genuinely help your process.
Settings (typical options)
Sessions: Choose which sessions to display (e.g., Asia/London/NY) and their time zones/hours.
Daily Levels: Toggle PDH/PDL, prior open/close, prior week High/Low, and other references you rely on.
Visuals: Colors, line styles, label visibility, and optional band shading for quick recognition.
Confluence Tolerance (optional): Define how near a session extreme must be to a daily level to consider it a “liquidity touch/sweep” in your visuals.
Alerts (optional): First touch/sweep of session High/Low, break/close beyond PDH/PDL, or custom distance conditions.
Chart & Publishing Notes (for reviewers and users)
Clean chart by design: Only essential lines/labels for session extremes and daily references.
Plain-English description: Explains what, why, and how so non-coders can use it confidently.
Original integration: The value here is the purposeful interaction—seeing session sweeps in context of daily liquidity in one place—rather than a cosmetic mashup.
Limitations & good practice
This tool is contextual, not predictive. It highlights structure and liquidity landmarks; trade decisions are yours.
Session definitions vary by asset/exchange; ensure your session times match your market.
Past behavior at these levels does not guarantee future outcomes; always use proper risk management.
Disclaimer
This indicator is for educational and informational purposes only and is not financial advice. Trading involves risk; always test and evaluate with your own methods and risk parameters.
SOFR Spread (proxy: FEDFUNDS - US03MY)📊 SOFR Spread (Proxy: FEDFUNDS - US03MY) – Monitoring USD Money Market Liquidity
In 2008, the spread exhibits a sharp vertical spike, signaling a severe liquidity dislocation: investors rushed into short-term U.S. Treasuries, pushing their yields down dramatically, while the FEDFUNDS rate remained relatively high.
This behavior indicates extreme systemic stress in the interbank lending market, preceding massive Federal Reserve interventions such as rate cuts, emergency liquidity operations, and the launch of quantitative easing (QE).
Description:
This indicator plots the spread between the Effective Federal Funds Rate (FEDFUNDS) and the 3-Month US Treasury Bill yield (US03MY), used here as a proxy for the SOFR spread.
It serves as a simple yet powerful tool to detect liquidity dislocations and stress signals in the US short-term funding markets.
Interpretation:
🔴 Spread > 0.20% → Possible liquidity stress: elevated repo rates, cash shortage, interbank distrust.
🟡 Spread ≈ 0% → Normal market conditions, balanced liquidity.
🟢 Spread < 0% → Excess liquidity: strong demand for T-Bills, “flight to safety”, or distortion due to expansionary monetary policy.
Ideal for:
Monitoring Fed policy impact
Anticipating market-wide liquidity squeezes
Correlation with DXY, SPX, VIX, MOVE Index, and risk sentiment
🧠 Note: As SOFR is not directly available on TradingView, FEDFUNDS is used as a reliable proxy, closely tracking the same trends in most macro conditions.
CANDLE RANGE THEORY (H1 Only)Hello traders.
This indicator identifies CRT candles
-Each candle is a range.
-Each candle has its own po3.
-Focus on specific times of the day. By recognizing the importance of time and price, we can capture high-quality trades. Together with HTF PD array, Look for 4-hour candles forming at specific times of the day. (1am - 5am - 9am EST)
-After the 1st candle, wait for the 2nd candle to clear the high/low of the 1st candle and then close inside the 1st candle range at a specific time (1-5-9) and look for entries in the LTF
Why choose 1 5 9 hours EST?
### **1. 1:00 AM (EST)**
- **Trading Session:** This is the time between the Tokyo (Asian) session and the Sydney (Australian) session. The Asian market is very active.
- **Characteristics:**
- Liquidity: Moderate, as only the Asian market is active.
- Volatility: Pairs involving JPY (Japanese Yen), AUD (Australian Dollar), and NZD (New Zealand Dollar) tend to have higher volatility.
- Trading Opportunities: Suitable for traders who like to trade trends or news in the Asian region.
- **Note:** Volatility may be lower than the London or New York session.
### **2. 5:00 AM (EST)**
- **Trading Session:** This is the time near the end of the Tokyo session and the London (European) session is about to open.
- **Characteristics:**
- Liquidity: Starts to increase due to the preparation of the European market.
- Volatility: This is the time between two trading sessions, there can be strong fluctuations, especially in major currency pairs such as EUR/USD, GBP/USD.
- Trading opportunities: Suitable for breakout trading strategies when liquidity increases.
- **Note:** The overlap between Tokyo and London can cause sudden fluctuations.
### **3. 9:00 AM (EST)**
- **Trading sessions:** This time is within the London session and near the beginning of the New York session.
- **Characteristics:**
- Liquidity: Very high, as this is the period between the two largest sessions – London and New York.
- Volatility: Extremely strong, especially for major currency pairs such as EUR/USD, GBP/USD, USD/JPY.
- Trading opportunities: Suitable for both news trading and trend trading, as this is the time when a lot of economic data is released (usually from the US or the European region).
- **Note:** High volatility can bring big profits, but also comes with high risks.
### **Summary of effects:**
- **1 AM (EST):** Moderate volatility, focusing on Asian currency pairs.
- **5 AM (EST):** Increased liquidity and volatility, suitable for breakout trading.
- **9 AM (EST):** High volatility and high liquidity, the best time for Forex trading.
==> How to trade, when the high/low of CRT is swept, move to LTF to wait for confirmation to enter the order
Only sell at high level and buy at discount price.
Find CE at specific important time. Trading CRT with HTF direction has better win rate.
The more inside bars, the higher the probability.
Place a partial and Move breakeven at 50% range.
Do a backtest and post your chart.
Fair Value Gap [by Oberlunar]Fair Value Gap
This indicator is designed to identify and display Fair Value Gaps (FVG) on the price chart. Fair Value Gaps are areas between candles where the price lacks continuity, leaving a "gap" that can serve as a reference point for price retracements. These zones are often considered important by traders as they represent market imbalances that tend to be "mitigated" (i.e., filled or tested) over time.
Purpose of Publication
This indicator addresses a common gap in FVG indicators. Most existing FVG indicators do not visually distinguish between mitigated (touched) FVGs and those that remain intact. With this indicator:
Mitigated FVGs are clearly displayed with distinct colors, allowing traders to identify which zones have been partially or fully filled by the price.
Unmitigated FVGs remain prominent, representing potential points of interest.
Key Features
Identification of Fair Value Gaps:
A Bullish FVG (upward gap) forms when the high of the three previous candles (candle -3) is lower than the low of the next candle (candle -1).
A Bearish FVG (downward gap) forms when the low of the three previous candles (candle -3) is higher than the high of the next candle (candle -1).
Dynamic Coloring:
Unmitigated FVGs are highlighted with specific colors: green for Bullish and red for Bearish gaps.
When an FVG is "touched" by the price (i.e., mitigated), the color changes:
Yellow-green for mitigated Bullish FVGs.
Purple for mitigated Bearish FVGs.
Handling Mitigated FVGs:
When an FVG is touched by the price, it is visually updated with a different color.
An option can be enabled to "shrink" the mitigated zone, adjusting the box to reflect the remaining untested portion of the gap.
Customization:
Configure the maximum number of FVGs to display on the chart.
Set specific colors for mitigated and unmitigated FVGs.
Choose whether to automatically shrink mitigated zones.
How to Identify Support and Resistance Levels
Support:
Bullish FVGs represent potential support levels, as they indicate areas where the price might return to seek liquidity or fill the imbalance.
An FVG that is repeatedly touched without being fully filled becomes a significant support zone.
Resistance:
Bearish FVGs represent potential resistance levels, indicating zones where the price might stall or reverse direction.
Why a Repeatedly Mitigated FVG is Significant
When an FVG is touched or mitigated multiple times, it means the market recognizes that area as significant. This can happen for several reasons:
Accumulation or Distribution: Institutional traders may use these zones to accumulate or distribute positions without causing excessive market movement.
Presence of Liquidity: FVGs often represent areas with pending orders (stop-losses, limit orders), and the price revisits these zones to seek liquidity.
Market Equilibrium: When an FVG is repeatedly filled, it indicates the market's attempt to balance a demand-supply imbalance. This makes the zone an important level to monitor for potential breakouts or reversals.
Smart Money Concepts by WeloTradesThe "Smart Money Concepts by WeloTrades" indicator is designed to offer traders a comprehensive tool that integrates multiple advanced features to aid in market analysis. By combining order blocks, liquidity levels, fair value gaps, trendlines, and market structure analysis, the indicator provides a holistic approach to understanding market dynamics and making informed trading decisions.
Components and Their Integration:
Order Blocks and Breaker Blocks Detection
Functionality: Order blocks represent areas where significant buying or selling occurred, creating potential support or resistance zones. Breaker blocks signal potential reversals.
Integration: By detecting and visualizing these blocks, the indicator helps traders identify key levels where price might react, aiding in entry and exit decisions. The customizable settings allow traders to adjust the visibility and parameters to suit their specific trading strategy.
Liquidity Levels Analysis
Functionality: Liquidity levels indicate zones where significant price movements can occur due to the presence of large orders. These are areas where smart money might be executing trades.
Integration: By tracking these high-probability liquidity areas, traders can anticipate potential price movements. Customizable display limits and mitigation strategies ensure that the information is tailored to the trader’s needs, providing precise and actionable insights.
Fair Value Gaps (FVG)
Functionality: Fair value gaps highlight areas where there is an imbalance between buyers and sellers. These gaps often represent potential trading opportunities.
Integration: The ability to identify and analyze FVGs helps traders spot potential entries based on market inefficiencies. The touch and break detection functionalities provide further refinement, enhancing the precision of trading signals.
Trendlines
Functionality: Trendlines help in identifying the direction of the market and potential reversal points. The additional trendline adds a layer of confirmation for breaks or retests.
Integration: Automatically drawn trendlines assist traders in visualizing market trends and making decisions about potential entries and exits. The additional trendline for stronger confirmation reduces the risk of false signals, providing more reliable trading opportunities.
Market Structure Analysis
Functionality: Understanding market structure is crucial for identifying key support and resistance levels and overall market dynamics. This component displays internal, external, and composite market structures.
Integration: By automatically highlighting shifts in market structure, the indicator helps traders recognize important levels and potential changes in market direction. This analysis is critical for strategic planning and execution in trading.
Customizable Alerts
Functionality: Alerts ensure that traders do not miss significant market events, such as the formation or breach of order blocks, liquidity levels, and trendline interactions.
Integration: Customizable alerts enhance the user experience by providing timely notifications of key events. This feature ensures that traders can act quickly and efficiently, leveraging the insights provided by the indicator.
Interactive Visualization
Functionality: Customizable visual aspects of the indicator allow traders to tailor the display to their preferences and trading style.
Integration: This feature enhances user engagement and usability, making it easier for traders to interpret the data and make informed decisions. Personalization options like colors, styles, and display formats improve the overall effectiveness of the indicator.
How Components Work Together
Comprehensive Market Analysis
Each component of the indicator addresses a different aspect of market analysis. Order blocks and liquidity levels highlight potential support and resistance zones, while fair value gaps and trendlines provide additional context for potential entries and exits. Market structure analysis ties everything together by offering a broad view of market dynamics.
Synergistic Insights
The integration of multiple features allows for cross-validation of trading signals. For instance, an order block coinciding with a high-probability liquidity level and a fair value gap can provide a stronger signal than any of these features alone. This synergy enhances the reliability of the insights and trading signals generated by the indicator.
Enhanced Decision Making
By combining these advanced features into a single tool, traders are equipped with a powerful resource for making informed decisions. The customizable alerts and interactive visualization further support this by ensuring that traders can act quickly on the insights provided.
Order Blocks ( OB) & Breaker Blocks (BB) Visuals:
📝 OB Input Settings
📊 Timeframe #1
TF #1🕑: Enable or disable Timeframe 1.
What it is: A boolean input to toggle the use of the first timeframe.
What it does: Enables or disables Timeframe 1 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 1 Selection
Timeframe #1🕑: Select the timeframe for Timeframe 1.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 1.
How to use it: Choose a timeframe from the dropdown list.
📊 Timeframe #2
TF #2🕑: Enable or disable Timeframe 2.
What it is: A boolean input to toggle the use of the second timeframe.
What it does: Enables or disables Timeframe 2 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 2 Selection
Timeframe #2🕑: Select the timeframe for Timeframe 2.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 2.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting / Lower TF Chart & Higher TF Setting.
📏 Show OBs
OB (Length)📏: Toggle the display of Order Blocks.
What it is: A boolean input to enable or disable the display of Order Blocks.
What it does: Shows or hides Order Blocks based on the selected swing length.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Length Option
Swing Length Option: Select the swing length option.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for Order Blocks.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Swing Length
🔧custom: Specify a custom swing length.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default swing lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Show BBs
BB (Method)📛: Toggle the display of Breaker Blocks.
What it is: A boolean input to enable or disable the display of Breaker Blocks.
What it does: Shows or hides Breaker Blocks.
How to use it: Check or uncheck the box to enable or disable.
📛 OB End Method
OB End Method: Select the method for determining the end of a Breaker Block.
What it is: A dropdown to choose between Wick and Close.
What it does: Sets the criteria for when a Breaker Block is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info: Wicks: OB is mitigated when the price wicks through the OB Level. Close: OB is mitigated when the closing price is within the OB Level.
🔍 Max Bullish Zones
🔍Max Bullish: Set the maximum number of Bullish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bullish Order Blocks.
What it does: Limits the number of Bullish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🔍 Max Bearish Zones
🔍Max Bearish: Set the maximum number of Bearish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bearish Order Blocks.
What it does: Limits the number of Bearish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🟩 Bullish OB Color
Bullish OB Color: Set the color for Bullish Order Blocks.
What it is: A color picker to set the color of Bullish Order Blocks.
What it does: Changes the color of Bullish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish OB Color
Bearish OB Color: Set the color for Bearish Order Blocks.
What it is: A color picker to set the color of Bearish Order Blocks.
What it does: Changes the color of Bearish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🔧 OB & BB Range
↔ OB & BB Range: Select the range option for OB and BB.
What it is: A dropdown to choose between RANGE and CUSTOM.
What it does: Sets how far the OB or BB should extend.
How to use it: Choose an option from the dropdown.
Additional Info: RANGE = Current price, CUSTOM = Adjustable Range.
🔧 Custom OB & BB Range
🔧Custom: Specify a custom range for OB and BB.
What it is: An integer input for setting a custom range.
What it does: Defines how far the OB or BB should go, based on a custom value.
How to use it: Enter a custom integer value (range: 1000-500000).
💬 Text Options
💬Text Options: Set text size and color for OB and BB.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for OB and BB.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Timeframe OB
Text: Toggle to display the timeframe of OB.
What it is: A boolean input to show or hide the timeframe text for OB.
What it does: Displays the timeframe information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of OB.
What it is: A boolean input to show or hide the volume information for Order Blocks.
What it does: Displays the volume information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the Order Block. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the Order Block.
What it means: Higher volume at an Order Block level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the Order Block.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the Order Block.
💬 Show Percentage
%: Toggle to display the percentage of OB.
What it is: A boolean input to show or hide the percentage information for Order Blocks.
What it does: Displays the percentage information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the Order Block.
How it's calculated: This can be the percentage move from the start to the end of the Order Block or the retracement level that price has reached relative to the Order Block's range.
What it means: It helps traders understand the extent of price movement within the Order Block and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the Order Block within the overall price movement.
Additional Information
Volume Example: If an Order Block forms over three candles with volumes of 100, 150, and 200, the total volume displayed for that Order Block would be 450.
Percentage Example: If the price moves from 100 to 110 within an Order Block, and the total range of the Order Block is from 100 to 120, the percentage shown might be 50% (since the price has moved halfway through the Order Block's range).
Liquidity Levels visuals:
📊 Liquidity Levels Input Settings
📊 Current Timeframe
TF #1🕑: Enable or disable the current timeframe.
What it is: A boolean input to toggle the use of the current timeframe.
What it does: Enables or disables the display of liquidity levels for the current timeframe.
How to use it: Check or uncheck the box to enable or disable.
📊 Higher Timeframe
Higher Timeframe: Select the higher timeframe for liquidity levels.
What it is: A dropdown to select the desired higher timeframe.
What it does: Sets the higher timeframe for liquidity levels.
How to use it: Choose a timeframe from the dropdown list.
📏 Liquidity Length Option
📏Liquidity Length: Select the length for liquidity levels.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Liquidity Length
🔧custom: Specify a custom length for liquidity levels.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default liquidity lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Mitigation Method
📛Mitigation (Method): Select the method for determining the mitigation of liquidity levels.
What it is: A dropdown to choose between Close and Wick.
What it does: Sets the criteria for when a liquidity level is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Wick: Level is mitigated when the price wicks through the level.
Close: Level is mitigated when the closing price is within the level.
📛 Display Mitigated Levels
-: Select to display or hide mitigated levels.
What it is: A dropdown to choose between Remove and Show.
What it does: Displays or hides mitigated liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info:
Remove: Hide mitigated levels.
Show: Display mitigated levels.
🔍 Max Buy Side Liquidity
🔍Max Buy Side Liquidity: Set the maximum number of Buy Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Buy Side Liquidity Levels.
What it does: Limits the number of Buy Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟦 Buy Side Liquidity Color
Buy Side Liquidity Color: Set the color for Buy Side Liquidity Levels.
What it is: A color picker to set the color of Buy Side Liquidity Levels.
What it does: Changes the color of Buy Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Buy Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
🔍 Max Sell Side Liquidity
🔍Max Sell Side Liquidity: Set the maximum number of Sell Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Sell Side Liquidity Levels.
What it does: Limits the number of Sell Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Sell Side Liquidity Color
Sell Side Liquidity Color: Set the color for Sell Side Liquidity Levels.
What it is: A color picker to set the color of Sell Side Liquidity Levels.
What it does: Changes the color of Sell Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Sell Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
✂ Box Style (Height)
✂ Box Style (↕): Set the box height style for liquidity levels.
What it is: A float input to set the height of the boxes.
What it does: Adjusts the height of the boxes displaying liquidity levels.
How to use it: Enter a value between -50 and 50.
Additional Info: Default value is -5.
📏 Box Length
b: Set the box length of liquidity levels.
What it is: An integer input to set the length of the boxes.
What it does: Adjusts the length of the boxes displaying liquidity levels.
How to use it: Enter a value between 0 and 500.
Additional Info: Default value is 20.
⏭ Extend Liquidity Levels
Extend ⏭: Toggle to extend liquidity levels beyond the current range.
What it is: A boolean input to enable or disable the extension of liquidity levels.
What it does: Extends liquidity levels beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Extend liquidity levels beyond the current range.
💬 Text Options
💬 Text Options: Set text size and color for liquidity levels.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for liquidity levels.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Text
Text: Toggle to display text for liquidity levels.
What it is: A boolean input to show or hide the text for liquidity levels.
What it does: Displays the text information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of liquidity levels.
What it is: A boolean input to show or hide the volume information for liquidity levels.
What it does: Displays the volume information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the liquidity level. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the liquidity level.
What it means: Higher volume at a liquidity level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the liquidity level.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the liquidity level.
💬 Show Percentage
%: Toggle to display the percentage of liquidity levels.
What it is: A boolean input to show or hide the percentage information for liquidity levels.
What it does: Displays the percentage information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the liquidity level.
How it's calculated: This can be the percentage move from the start to the end of the liquidity level or the retracement level that price has reached relative to the liquidity level's range.
What it means: It helps traders understand the extent of price movement within the liquidity level and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the liquidity level within the overall price movement.
Fair Value Gaps visuals:
📊 Fair Value Gaps Input Settings
📊 Show FVG
TF #1🕑: Enable or disable Fair Value Gaps for Timeframe 1.
What it is: A boolean input to toggle the display of Fair Value Gaps.
What it does: Shows or hides Fair Value Gaps on the chart.
How to use it: Check or uncheck the box to enable or disable.
📊 Select Timeframe
Timeframe: Select the timeframe for Fair Value Gaps.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Fair Value Gaps.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting or Lower TF Chart & Higher TF Setting.
📛 FVG Break Method
📛FVG Break (Method): Select the method for determining when an FVG is mitigated.
What it is: A dropdown to choose between Touch, Wicks, Close, or Average.
What it does: Sets the criteria for when a Fair Value Gap is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Touch: FVG is mitigated when the price touches the gap.
Wicks: FVG is mitigated when the price wicks through the gap.
Close: FVG is mitigated when the closing price is within the gap.
Average: FVG is mitigated when the average price (average of high and low) is within the gap.
📛 Show Mitigated FVG
show: Toggle to display mitigated FVGs.
What it is: A boolean input to show or hide mitigated Fair Value Gaps.
What it does: Displays or hides mitigated Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Fill FVG
Fill: Toggle to fill Fair Value Gaps.
What it is: A boolean input to fill the Fair Value Gaps with color.
What it does: Adds a color fill to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Shade FVG
Shade: Toggle to shade Fair Value Gaps.
What it is: A boolean input to shade the Fair Value Gaps.
What it does: Adds a shade effect to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Select the method to break FVGs and toggle the visibility of FVG Breaks (fill FVG and/or shade FVG).
🔍 Max Bullish FVG
🔍Max Bullish FVG: Set the maximum number of Bullish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bullish Fair Value Gaps.
What it does: Limits the number of Bullish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🔍 Max Bearish FVG
🔍Max Bearish FVG: Set the maximum number of Bearish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bearish Fair Value Gaps.
What it does: Limits the number of Bearish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Bearish FVG Color
Bearish FVG Color: Set the color for Bearish Fair Value Gaps.
What it is: A color picker to set the color of Bearish Fair Value Gaps.
What it does: Changes the color of Bearish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bearish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
🟦 Bullish FVG Color
Bullish FVG Color: Set the color for Bullish Fair Value Gaps.
What it is: A color picker to set the color of Bullish Fair Value Gaps.
What it does: Changes the color of Bullish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bullish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
📏 FVG Range
↔ FVG Range: Set the range for Fair Value Gaps.
What it is: An integer input to set the range of the Fair Value Gaps.
What it does: Adjusts the range of the Fair Value Gaps displayed.
How to use it: Enter a value between 0 and 100.
Additional Info: Adjustable length only works when both RANGE & EXTEND display OFF. Range=current price, Extend=Full Range.
⏭ Extend FVG
Extend⏭: Toggle to extend Fair Value Gaps beyond the current range.
What it is: A boolean input to enable or disable the extension of Fair Value Gaps.
What it does: Extends Fair Value Gaps beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
⏯ FVG Range
Range⏯: Toggle the range of Fair Value Gaps.
What it is: A boolean input to enable or disable the range display for Fair Value Gaps.
What it does: Sets the range of Fair Value Gaps displayed.
How to use it: Check or uncheck the box to enable or disable.
↕ Max Width
↕ Max Width: Set the maximum width of Fair Value Gaps.
What it is: A float input to set the maximum width of Fair Value Gaps.
What it does: Limits the width of Fair Value Gaps as a percentage of the price range.
How to use it: Enter a value between 0 and 5.0.
Additional Info: FVGs wider than this value will be ignored.
♻ Filter FVG
Filter FVG ♻: Toggle to filter out small Fair Value Gaps.
What it is: A boolean input to filter out small Fair Value Gaps.
What it does: Ignores Fair Value Gaps smaller than the specified max width.
How to use it: Check or uncheck the box to enable or disable.
➖ Mid Line Style
➖Mid Line Style: Select the style of the mid line for Fair Value Gaps.
What it is: A dropdown to choose between Solid, Dashed, or Dotted.
What it does: Sets the style of the mid line within Fair Value Gaps.
How to use it: Choose an option from the dropdown.
🎨 Mid Line Color
Mid Line Color: Set the color for the mid line within Fair Value Gaps.
What it is: A color picker to set the color of the mid line.
What it does: Changes the color of the mid line within Fair Value Gaps.
How to use it: Select a color from the color picker.
Additional Information
Mitigation Methods: Each method (Touch, Wicks, Close, Average) provides different criteria for when a Fair Value Gap is considered mitigated, helping traders to understand the dynamics of price movements within gaps.
Volume and Percentage: Displaying volume and percentage information for Fair Value Gaps helps traders gauge the strength and significance of these gaps in relation to trading activity and price movements.
Trendlines visuals:
📊 Trendlines Input Settings
📊 Show Trendlines
Trendlines & Trendlines Difference(%) ↕: Enable or disable trendlines and set the percentage difference from the first trendline.
What it is: A boolean input to toggle the display of trendlines.
What it does: Shows or hides trendlines on the chart and allows setting a percentage difference from the first trendline.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: The percentage difference determines the distance of the second trendline from the first one.
📏 Trendline Length Option
📏Trendline Length: Select the length for trendlines.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of trendlines.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=50, MID=100, LONG=200.
🔧 Custom Trendline Length
🔧custom: Specify a custom length for trendlines.
What it is: An integer input for setting a custom trendline length.
What it does: Overrides the default trendline lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
🔍 Max Bearish Trendlines
🔍Max Trendlines Bearish: Set the maximum number of bearish trendlines to display.
What it is: A dropdown to select the maximum number of bearish trendlines.
What it does: Limits the number of bearish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟩 Bearish Trendline Color
Bearish Trendline Color: Set the color for bearish trendlines.
What it is: A color picker to set the color of bearish trendlines.
What it does: Changes the color of bearish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bearish trendlines are displayed.
🔍 Max Bullish Trendlines
🔍Max Trendlines Bullish: Set the maximum number of bullish trendlines to display.
What it is: A dropdown to select the maximum number of bullish trendlines.
What it does: Limits the number of bullish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟥 Bullish Trendline Color
Bullish Trendline Color: Set the color for bullish trendlines.
What it is: A color picker to set the color of bullish trendlines.
What it does: Changes the color of bullish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bullish trendlines are displayed.
📐 Degrees Text
📐Degrees ° (💬 Size): Enable or disable degrees text and set its size and color.
What it is: A boolean input to show or hide the degrees text for trendlines.
What it does: Displays the degrees text for trendlines.
How to use it: Check or uncheck the box to enable or disable.
📏 Text Size for Degrees
Text Size: Set the text size for degrees on trendlines.
What it is: A dropdown to select the size of the degrees text.
What it does: Changes the size of the degrees text displayed for trendlines.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Degrees Text Color
Degrees Text Color: Set the color for the degrees text on trendlines.
What it is: A color picker to set the color of the degrees text.
What it does: Changes the color of the degrees text on the chart.
How to use it: Select a color from the color picker.
♻ Filter Degrees
♻ Filter Degrees °: Enable or disable angle filtering and set the angle range.
What it is: A boolean input to filter trendlines by their angle.
What it does: Shows only trendlines within a specified angle range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Angles outside this range will be filtered out.
🔢 Angle Range
Angle Range: Set the angle range for filtering trendlines.
What it is: Two float inputs to set the minimum and maximum angle for trendlines.
What it does: Defines the range of angles for which trendlines will be shown.
How to use it: Enter values for the minimum and maximum angles.
➖ Line Style
➖Style #1 & #2: Select the style of the primary and secondary trendlines.
What it is: Two dropdowns to choose between Solid, Dashed, or Dotted for the trendlines.
What it does: Sets the style of the primary and secondary trendlines.
How to use it: Choose a style from each dropdown.
📏 Line Thickness
: Set the thickness for the trendlines.
What it is: An integer input to set the thickness of the trendlines.
What it does: Adjusts the thickness of the trendlines displayed on the chart.
How to use it: Enter a value between 1 and 5.
Additional Information
Trendline Percentage Difference: Setting a percentage difference helps in analyzing the relative position and angle of trendlines.
Filtering by Angle: This feature allows focusing on trendlines within a specific angle range, enhancing the clarity of trend analysis.
BOS & CHOCH Market Structure visuals:
📊 BOS & CHOCH Market Structure Input Settings
📏 Market Structure Length Option
📏Market Structure: Select the market structure length option.
What it is: A dropdown to choose between INTERNAL, EXTERNAL, ALL, CUSTOM, or NONE.
What it does: Sets the type of market structure to be displayed.
How to use it: Choose an option from the dropdown.
Additional Info:
INTERNAL: Only internal structure.
EXTERNAL: Only external structure.
ALL: Both internal and external structures.
CUSTOM: Custom lengths.
NONE: No structure.
🔧 Custom Internal Length
🔧Custom Internal: Specify a custom length for internal market structure.
What it is: An integer input for setting a custom internal length.
What it does: Defines the length of internal market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 Internal Label Size
💬Internal Label Size: Set the label size for internal market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for internal market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Internal Bullish Color
Internal Bullish Color: Set the color for bullish internal market structures.
What it is: A color picker to set the color of bullish internal market structures.
What it does: Changes the color of bullish internal market structures on the chart.
How to use it: Select a color from the color picker.
🟥 Internal Bearish Color
Internal Bearish Color: Set the color for bearish internal market structures.
What it is: A color picker to set the color of bearish internal market structures.
What it does: Changes the color of bearish internal market structures on the chart.
How to use it: Select a color from the color picker.
🔧 Custom External Length
🔧Custom External: Specify a custom length for external market structure.
What it is: An integer input for setting a custom external length.
What it does: Defines the length of external market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 External Label Size
💬External Label Size: Set the label size for external market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for external market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 External Bullish Color
External Bullish Color: Set the color for bullish external market structures.
What it is: A color picker to set the color of bullish external market structures.
What it does: Changes the color of bullish external market structures on the chart.
How to use it: Select a color from the color picker.
🟥 External Bearish Color
External Bearish Color: Set the color for bearish external market structures.
What it is: A color picker to set the color of bearish external market structures.
What it does: Changes the color of bearish external market structures on the chart.
How to use it: Select a color from the color picker.
📐 Show Equal Highs and Lows
EQL & EQH📐: Toggle visibility for equal highs and lows.
What it is: A boolean input to show or hide equal highs and lows.
What it does: Displays or hides equal highs and lows on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Equal Highs and Lows Threshold
Equal Highs and Lows Threshold: Set the threshold for equal highs and lows.
What it is: A float input to set the threshold for equal highs and lows.
What it does: Defines the range within which highs and lows are considered equal.
How to use it: Enter a value between 0 and 10.
💬 Label Size for Equal Highs and Lows
💬Label Size for Equal Highs and Lows: Set the label size for equal highs and lows.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for equal highs and lows.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Bullish Color for Equal Highs and Lows
Bullish Color for Equal Highs and Lows: Set the color for bullish equal highs and lows.
What it is: A color picker to set the color of bullish equal highs and lows.
What it does: Changes the color of bullish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish Color for Equal Highs and Lows
Bearish Color for Equal Highs and Lows: Set the color for bearish equal highs and lows.
What it is: A color picker to set the color of bearish equal highs and lows.
What it does: Changes the color of bearish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
📏 Show Swing Points
Swing Points📏: Toggle visibility for swing points.
What it is: A boolean input to show or hide swing points.
What it does: Displays or hides swing points on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Points Length Option
Swing Points Length Option: Select the length for swing points.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swing points.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
💬 Swing Points Label Size
💬Swing Points Label Size: Set the label size for swing points.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for swing points.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Swing Points Color
Swing Points Color: Set the color for swing points.
What it is: A color picker to set the color of swing points.
What it does: Changes the color of swing points on the chart.
How to use it: Select a color from the color picker.
🔧 Custom Swing Points Length
🔧Custom Swings: Specify a custom length for swing points.
What it is: An integer input for setting a custom length for swing points.
What it does: Defines the length of swing points if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
Additional Information
Market Structure Types: Understanding internal and external structures helps in analyzing different market behaviors.
Equal Highs and Lows: This feature identifies areas where price action is balanced, which can be significant for trading strategies.
Swing Points: Highlighting swing points aids in recognizing significant market reversals or continuations.
Benefits
Enhance your trading strategy by visualizing smart money's influence on price movements.
Make informed decisions with real-time data on significant market structures.
Reduce manual analysis with automated detection of key trading signals.
Ideal For
Traders looking for an edge in forex, equities, and cryptocurrency markets by understanding the underlying forces driving market dynamics.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
Flux Charts: Volumized Order Blocks
LuxAlgo: Trend Lines
UAlgo: Fair Value Gaps (FVG)
By Leviathan: Market Structure
Sonarlab: Liquidity Levels
Note
Remember to always backtest the indicator first before integrating it into your strategy! For any questions about the indicator, please feel free to ask for assistance.
Follow-up Buy / Sell Volume Pressure at Supply / Demand Zones█ Overview:
BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context.
Commonness in RBR, DBD, DBR, RBD patterns ?
There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop).
Why is the Base Important
1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made.
2. Confirmation: It confirms the strength of previous impulse move which has happened.
Base & the Liquidity Play:
Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players.
For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play.
Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards.
Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level)
Bullish Pressure On Buy Liquidity:
Bearish Pressure On Sell Liquidity:
█ How It Works:
1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly.
2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones.
3. Once the Volume pressure is evident, loop in to the ride.
█ When It wont Work:
When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail.
█ Limitations:
Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min.
█ Indicator Features:
1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified.
2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the
ride. Find the quant based on the accuracy of the setup provided in the bottom right table.
3. Algo Enabled with Place Holders:
Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc.
Accepted PlaceHolders (Case Sensitive!!)
1. {{ticker}}-->InstrumentName
2. {{datetime}}-->Date & Time Of Order Placement
3. {{close}}-->LTP Price of Script
4. {{TD}}-->Current Level:
Note: Negative Numbers for Short Setup
5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels
6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier
7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade)
8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade)
9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade)
Dynamic Alerts:
10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM
11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to
ATM - 100 strike
12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to
ATM + (2 * 50 = 100) strike
13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format.
14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format.
15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday)
Note. for the 2nd Param-->you can choose to specify either Number OR any letter from =>
16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used
Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1🔵 Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
🟣 Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
🟣 Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
Fractal Model [Pro+] (TTrades)Introduction:
Crafted with TTrades, the Fractal Model empowers traders with a refined approach to Algorithmic Price Delivery. Specifically designed for those aiming to capitalize on expansive moves, this model anticipates momentum shifts, swing formations, orderflow continuations, as well as helping analysts highlight key areas to anticipate price deliveries.
Description:
The Fractal Model° is rooted in the cyclical nature of price movements, where price alternates between large and small ranges. Expansion occurs when price moves consistently in one direction with momentum. By combining higher Timeframe closures with the confirmation of the change in state of delivery (CISD) on the lower Timeframe, the model reveals moments when expansion is poised to occur.
Thanks to TTrades' extensive research and years of studying these price behaviors, the Fractal Model° is a powerful, adaptive tool that seamlessly adjusts to any asset, market condition, or Timeframe, translating complex price action insights into an intuitive and responsive system.
The TTrades Fractal Model remains stable and non-repainting, offering traders reliable, unchanged levels within the given Time period. This tool is meticulously designed to support analysts focus on price action and dynamically adapt with each new Time period.
Key Features:
Custom History: Control the depth of your historical view by selecting the number of previous setups you’d like to analyze on your chart, from the current setup only (0) to a history of up to 40 setups. This feature allows you to tailor the chart to your specific charting style, whether you prefer to see past setups or the current view only.
Fractal Timeframe Pairings: This indicator enables users to observe and analyze lower Timeframe (LTF) movements within the structure of a higher Timeframe (HTF) candle. By examining LTF price action inside each HTF candle, analysts can gain insight into micro trends, structure shifts, and key entry points that may not be visible on the higher Timeframe alone. This approach provides a layered perspective, allowing analysts to closely monitoring how the LTF movements unfold within the overarching HTF context.
For a more dynamic and hands-off user experience, the Automatic feature autonomously adjusts the higher Timeframe pairing based the current chart Timeframe, ensuring accurate alignment with the Fractal Model, according to TTrades and his studies.
Bias Selection: This feature allows analysts complete control over bias and setup detection, allowing one to view bullish or bearish formations exclusively, or opt for a neutral bias to monitor both directions. Easily toggle the bias filter on Fractal Model to align with your higher Timeframe market draw.
Indicator Notice for Timeframe Pairing Limitations: This indicator supports Timeframe pairings (e.g., 5m-1H, 15m-4H). If you select a timeframe, grater than the lower Timeframe (LTF) view (e.g., viewing a 15m chart when 5m-1H is enabled), the indicator will display an warning message within the table. Although the higher Timeframe (HTF) candle plotting will remain visible, note that the LTF’s CISD and associated projections will not render in this view.
Customizable Time Filters: Further synchronize Time and price studies by selecting up to three custom Time windows, filtering model formations that fall outside these specified ranges. This provides clarity and focus on relevant price action signatures within defined Time windows, at the discretion of the analyst.
Higher Time Frame Candles (PO3): The Fractal Model° integrates the HTF Power of Three framework, enabling traders to visualize and spot critical turning points live. By incorporating this structure, traders can observe key phases of price delivery and market transitions on lower Timeframes, while monitoring higher Timeframe candle development.
Info Table: Display a customizable information table that includes key details such as timeframe pairing, Time until the next higher Timeframe candle close, analyst bias, and applied Time filter preferences. Options for size, location, and border give analysts full control over the table’s appearance on the chart.
TTrades Framework Customization :
TTFM Lables (C2/C3/C4): When a setup remains valid, the label will display in gray, signifying stable conditions for the setup.
If the setup fails—defined by price returning to the initial high or low without forming a higher Timeframes swing point—the indicator will stop plotting projections, Equilibrium (EQ), Liquidity Sweep, and the T-spot. In this case, the labels for key points (C2, C3, C4) will remain on the chart but turn red, clearly indicating the failure of the setup.
If the setup does not fail within the next higher Timeframes candle, which defines the setup’s formation, the label will turn orange. This orange color signals potential consolidation, or slowdown, suggesting that the market may enter a range or pause in trend movement within the setup.
Candle 1 Liquidity: Highlight important liquidity levels at each swing point with horizontal rays, marking sweeps of liquidity and potential reversals.
Change in State of Delivery (CISD): Mark the series of candles making up significant highs or lows. A close beyond the opening price signals a change from bullish to bearish or vice versa, confirming a trend reversal.
Candle Equilibrium: Indicates 50% levels of higher time frame ranges, displaying discount and premium zones that provide additional context for potential entries and exits.
T-Spot Identification: The T-Spot marks anticipated points of the higher Timeframe candles where price wicks are expected to form, based on TTrades’ refined analysis and methodology. This level is invaluable for identifying high-probability reversal or continuation points within lower Timeframes, remaining aligned with the higher Timeframe narrative.
Projections: Leverage projected levels based on the shifts in delivery as per TTrades’ analysis. These user-defined levels serve as future points of interest for price to redeliver, rebalance, and exhaust. Analysts can add, or remove, desired projection levels – default projections being .
Formation Liquidity: Identify previous candles' highs and lows as critical liquidity points appertaining to the current developing formation. These zones are marked to provide easy visualization of engineered liquidity pools, serving as key reference points for future price action.
Fully Automated Framework: all these components, when put together in the Fractal Model° , yield TTrades' fully automated system. Each component is customizable to the analyst's liking to match their unique visual preferences and model Timeframes.
Usage Guidance:
Add Fractal Model (TTrades) to your TradingView chart.
Select your preferred Time pairings, model history, Time filers.
Automate your analysis process with Fractal Model (TTrades) and leverage it into your existing strategies to fine-tune your view through TTrades' lens.
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