CRT Master 974 par GUIROA Stephane [ULTIMATE MTF + HTF SWEEP]"CRT Master Blueprint ". This indicator is designed to display multi-timeframe levels from user-defined timeframes and highlight certain trading signals within a specified session.
Multi-Timeframe Configuration
1.Input Timeframes: Users can input three separate timeframes (e.g., 30 minutes, 60 minutes, 240 minutes).Each timeframe is assigned an option to be displayed or hidden, along with a customizable color.
2.Display Options: Each timeframe can be toggled on or off, with corresponding colors set in the input parameters.
Level Retrieval Function
3.Getting Levels: The get_crt_levels function retrieves high, low, and close values from the previous bar of a specified timeframe.pinescript
Drawing Levels
4.Drawing Levels Function: The draw_levels function visuals the high, low, and mid levels with different styles (dashed and dotted lines) and labels on the chart based on whether the respective timeframes' options are enabled.
6.Dashboard: A small table displays the status of the indicator (active or inactive) and the primary timeframe on the chart.
Summary
In summary, this indicator is helpful for traders who want to visually analyze multiple timeframe levels and receive signals based on specific price action within a defined session. The use of customizable parameters allows for flexibility in adapting to different trading strategies or preferences.
Concept
Pivot Points {xqweasdzxcv}Pivot Points {xqweasdzxcv}
This indicator plots classic Pivot Point levels (PP, S1–S3, R1–R3) using the previous period’s High, Low, and Close. The pivot timeframe is fully customizable (Daily, Weekly, Monthly, etc.), making it suitable for both intraday and swing trading.
The script automatically calculates:
Pivot Point (PP)
Three Support levels (S1, S2, S3)
Three Resistance levels (R1, R2, R3)
Each level can be individually toggled on or off, with customizable colors, line width, and line style. Price labels are dynamically displayed on the right edge of the chart for quick reference.
Designed for clean visuals and practical use, this tool helps identify key market reaction zones, potential reversals, and breakout areas across any timeframe.
Created by xqweasdzxcv.
The Kinetic Energy of Market Information {Dark Architect}
Uncle, now you have a Full Stack of "Dark Architect". How to manage it (algorithm of actions):
STEP 1: SCANNER (MA_FRAGILITY + ENTROPY)
You're looking at MA_FRAGILITY (the second script). You're looking for an increase in Fragility (Red zone).
You're looking at ENTROPY (the third script). You wait until the line falls into the purple "Order" zone.
The thought: "The market is stretched and ready to fire."
STEP 2: LOGIN (W2_FLUID)
You're waiting for a Red spike on W2_FLUID (the first script).
Action: You open an order in the direction of the breakdown.
Thought: "The singularity is activated."
STEP 3: HOLD
You're looking at RELIEF_FLUX (the new script).
While the bars are Green and growing, hold on. The market is being pushed with money.
STEP 4: EXIT (HARVEST)
The price makes a new upward leap.
And on RELIEF_FLUX, the bars turned Gray or went down.
The label "EXIT 💸" has appeared.
Action: Close your position on the market. Don't set limits, just get out.
Thought: "Thanks for the liquidity, losers."
Task: Install ALL 4 scripts. Find a point in history where:
There Was An Entrance (W2 + Entropy).
Then there was growth (Green Flux).
And then the perfect Exit (EXIT Label). CAPITALCOM:US100
15 Zaman Kutusu ve 10 Zaman Acilisi15 Range Boxes & 10 Open Lines
This indicator is a comprehensive technical analysis tool designed to track specific time intervals (Sessions, Killzones) and critical opening prices on your chart.
Key Features:
15 Custom Range Boxes: Individual settings for color, time, and labels.
10 Open Price Lines: Track daily, weekly, or session opens.
Smart History Limit: "Son X Kutuyu Goster" feature preventing lag and flickering.
Pips Display: Automatically calculates and displays the range width in pips.
Minimalist Mode: Hides details when "Cok Kucuk" label size is selected.
Language: Fully Turkish menu settings.
Note: Inspired by Nephew Sam's concept, coded from scratch with performance optimizations and additional features.
DISCLAIMER This indicator is for educational purposes only. It does not constitute financial advice or trading signals. Use at your own risk.
Daily Open Gap Zones This indicator highlights Daily Opening Gaps by drawing a zone between the previous regular session close and the next regular session open (RTH). Each gap is displayed as a light white filled box with a dotted, transparent white border and is extended forward in time until it is considered filled.
How it works
Gap Definition:
A gap is created when today’s regular-session open is different from yesterday’s regular-session close.
Zone Range:
The gap zone is the price range between those two values.
Unfilled Gaps Only:
The box stays on the chart until the gap is filled, then it is removed.
Fill Mode Options:
Full fill: gap is removed only when price reaches the far edge of the gap zone.
Touch (enter zone): gap is removed as soon as price trades into the gap zone.
Min Gap Size (ticks):
Filters out tiny gaps. A gap is plotted only if
abs(open - prior close) >= minGapTicks × syminfo.mintick.
Best use case
Designed for intraday traders (e.g., 10-minute charts) who want to quickly see open/unfilled daily gaps that may act as support/resistance or mean-reversion targets.
Strategy2.0 H4 Only + Volume FightStrategy2.0 H4 Only + Volume Fight is a trend-following indicator designed for H4 timeframe trading. It works consistently and correctly on any chart timeframe, while all calculations and signals remain strictly anchored to H4.
The indicator uses a three-layer entry filtering system. A trade is triggered only when all conditions are met simultaneously. The core idea is to enter the market only during confirmed trends and at the moment when real volume appears, avoiding flat markets and false moves.
The first condition is the trend direction defined by the main MACD (12, 26, 9) calculated on the H4 timeframe. Values above zero indicate a bullish trend, while values below zero indicate a bearish trend.
The second condition is momentum confirmation using a fast MACD (3, 7, 9), also calculated on H4. When the fast MACD moves against the main MACD, the market is considered to be in a preparation phase. Entry is allowed only when both MACDs are aligned in the same direction.
The third and key condition is the Volume Fight filter. This component analyzes the balance between bullish and bearish volume and highlights active and inactive market phases. Gray zones represent the absence of volume and market interest — trades are strictly forbidden in these areas. A signal appears only when the market exits a gray zone and volume confirms the movement.
Additionally, a liquidity filter based on 24-hour USD volume is used to exclude low-liquidity instruments. The volume is calculated strictly on the daily timeframe and does not depend on the current chart timeframe.
An optional correlation filter with a selected instrument (for example, BTC) is available to avoid excessive market dependency and duplicate exposure. Specific instruments can be excluded from correlation checks if needed.
All signals are strictly tied to the H4 timeframe. Switching to lower timeframes does not increase the number of signals. Repeated signals in the same direction are blocked until the main MACD changes its trend.
The indicator visually highlights market phases: green candles represent confirmed bullish trends, red candles represent confirmed bearish trends, and gray candles indicate the preparation phase. BUY and SELL signals appear on the next candle after confirmation, eliminating repainting.
This indicator is intended for swing and position trading and does not constitute financial advice.
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation
📊 Introduction: Understanding Smart Money Concepts
The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets.
What Makes This Different?
While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you:
Where large players are accumulating or distributing positions
How they engineer liquidity to trigger retail stop losses
When they're shifting from one directional bias to another
Where price inefficiencies exist that institutions will likely revisit
The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals.
The Philosophy Behind Smart Money Concepts
Smart Money Concepts is built on several core principles:
1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move.
2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning.
3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance.
4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins.
This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity.
🎯 Core Features - Deep Dive
1. Market Structure Detection & Visualization
What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics.
How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation.
Visual Presentation:
Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected
Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged
Trading Application: These structure levels serve multiple purposes:
Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends
Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup
Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure
Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries
Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves.
2. Break of Structure (BOS) - Trend Confirmation
What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction.
The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that:
There's sufficient institutional buying/selling to overcome the supply/demand at previous structure
The trend has enough momentum to attract more participants
Stop losses above/below structure have been triggered, providing liquidity for continuation
Signal Characteristics:
Bullish BOS Label: Appears below the bar that closes above the previous swing high
Bearish BOS Label: Appears above the bar that closes below the previous swing low
Confirmation: Requires a full candle close, preventing false signals from wicks
Trading Strategies:
Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break
Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure
Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow
Scaling Strategy: Add to positions on each successive BOS in trending markets
What to Watch For:
Volume: Strong BOS movements should be accompanied by above-average volume
Speed: Rapid price movement through structure suggests institutional urgency
Follow-Through: The best BOS signals see price continue strongly without immediately reversing
Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks
Common Pitfalls:
Not all structure breaks are equal—BOS during ranging markets are less reliable
A BOS immediately followed by a reversal back into the range may indicate a failed breakout
During major news events, structure can be broken temporarily without institutional intent
3. Liquidity Sweep Detection - Spotting Manipulation
What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation.
Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions:
Trigger retail stop losses (creating market orders)
Activate pending buy/sell orders
Fill their large positions at favorable prices
Trap late breakout traders before reversing
Detection Methodology: The indicator identifies sweeps using multiple criteria:
Price must penetrate beyond the structural high/low (creating the sweep)
The candle must close back on the opposite side of the structure (confirming rejection)
The sweep distance is measured against ATR to distinguish manipulation from normal volatility
The sweep multiplier setting allows you to adjust sensitivity based on market conditions
Visual Indicators:
Orange Down Arrows: Mark liquidity sweeps above structural highs
Lime Up Arrows: Mark liquidity sweeps below structural lows
Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area
Persistent Display: Zones remain visible for several bars to maintain context
Trading Applications:
Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep:
Wait for the sweep to complete (candle closes back inside structure)
Look for a Change of Character signal for confirmation
Enter in the direction opposite to the sweep
Place stops beyond the sweep high/low
Target the opposite side of the range or next structural level
Continuation Filtering: Not all sweeps lead to reversals. During strong trends:
Sweeps of minor structure in a trending market often precede continuation
Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation)
Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes.
Advanced Sweep Analysis:
Double Sweeps: When both sides of a range are swept, expect a strong breakout
Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns
Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps
Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation
What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR
✅ Strong rejection candle (long wick, decisive close)
✅ Occurs at a higher timeframe structural level
✅ Creates a Change of Character on the following move
✅ Sweeps an obvious level where retail stops cluster
4. Change of Character (CHOCH) - Major Reversal Signals
What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes.
The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence:
Established Trend: A clear directional bias with multiple BOS in one direction
Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase)
Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase)
This combination shows that institutions have:
Completed their accumulation/distribution at favorable prices (via the sweep)
Shifted their positioning from bullish to bearish (or vice versa)
Begun a new directional campaign
Visual Presentation:
Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control
Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control
Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance
Why CHOCH Signals Are So Powerful:
Trend Reversal Identification: They mark the earliest possible confirmation of a trend change
High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading
Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend
Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment
Trading CHOCH Signals:
The Perfect CHOCH Setup:
Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish)
Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction
CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger
Entry Execution:
Aggressive: Enter immediately on CHOCH confirmation
Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance)
Stop Placement: Beyond the swept liquidity point
Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH
Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes:
Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves
4H CHOCH: Confirms daily direction, provides swing trade opportunities
1H CHOCH: Offers precise entry timing within the higher timeframe trend
15M CHOCH: Used for position scaling and intraday management
Example Trade Flow:
Daily Chart: Bullish CHOCH appears after weeks of downtrend
↓
4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH
↓
1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes
↓
Result: You've entered at the beginning of a major trend with multiple confirmations
CHOCH Quality Grading:
A-Grade CHOCH (Highest Probability):
Occurs at major higher timeframe structure
Following a clear liquidity sweep
Volume spike on the structural break
Multiple timeframe alignment
Creates a large Fair Value Gap on the break
B-Grade CHOCH (Good Probability):
Valid sweep and structure break
Single timeframe signal
Moderate volume
Occurs at minor structure
C-Grade CHOCH (Lower Probability):
Choppy, ranging market context
Weak sweep or unclear structure
Counter to higher timeframe trend
Low volume confirmation
Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break
❌ Ignoring higher timeframe context
❌ Taking every CHOCH regardless of quality
❌ Not waiting for pullbacks on aggressive trends
❌ Placing stops too tight, getting caught in volatility
Advanced CHOCH Concepts:
Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates:
Insufficient institutional conviction for the reversal
Fake-out to grab liquidity in the opposite direction
Need to wait for a higher timeframe CHOCH for confirmation
When a CHOCH fails, it often sets up an even stronger continuation of the original trend.
CHOCH vs BOS Decision Matrix:
If in doubt about trend direction → wait for CHOCH
If confident in trend → trade BOS continuations
After a CHOCH → next signals in the new direction are BOS
5. Fair Value Gaps (FVG) - Institutional Retracement Zones
What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow.
The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to:
Fill additional orders at more favorable prices
Allow the market to "breathe" before the next push
Create support/resistance at the gap for the next move
Restore balance to the order book
FVG Formation Criteria: This indicator uses enhanced FVG detection logic:
Bullish FVG (Upward Gap):
Current candle's low is above the high from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR (filtering minor gaps)
Typically forms on strong bullish momentum candles
Market moved up so fast it left unfilled sell orders
Bearish FVG (Downward Gap):
Current candle's high is below the low from 2 candles ago
Creates a visible gap where no trading occurred
Gap size must exceed 30% of ATR
Typically forms on strong bearish momentum candles
Market moved down so fast it left unfilled buy orders
Visual Presentation:
Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top
Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom
Dynamic Management: Gaps automatically removed when filled or expired
Clean Display: Only active, unfilled gaps shown to prevent chart clutter
FVG Trading Strategies:
Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry:
Identify trend direction via CHOCH or BOS
Locate the nearest FVG in the direction of the trend
Set limit orders within the FVG zone
Stop loss beyond the FVG
Target the next structural level or previous swing
Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it:
Signals extreme institutional urgency
Indicates the move is likely to continue strongly
The unfilled gap becomes a "no-go zone" for counter-trend entries
Strategy 3: Multiple FVG Management When multiple FVGs form in sequence:
The first FVG is most likely to be filled
If price skips the first FVG, it signals exceptional strength
Sequential gaps create a "gap ladder" for scaling into positions
FVG Quality Assessment:
High-Quality FVGs (Best Trading Zones):
Large gap size (1.5x+ ATR)
Formed on high volume impulse moves
Aligned with higher timeframe structure
Created during CHOCH or strong BOS
Positioned between current price and key structure
Low-Quality FVGs (Use Caution):
Small gaps (< 0.5 ATR)
Formed during choppy, ranging conditions
Multiple overlapping gaps in the same area
Counter to higher timeframe trend
Very old gaps (50+ bars ago)
FVG Lifecycle Management:
The indicator intelligently manages FVG zones:
Gap Filling:
Bullish FVG is "filled" when price touches the bottom of the gap
Bearish FVG is "filled" when price touches the top of the gap
Filled gaps are automatically removed from the chart
Partial fills count as complete fills (institutions got their orders)
Gap Expiration:
Gaps older than the extension period (default 10 bars) are removed
This keeps the chart clean and focuses on relevant levels
Adjustable from 5-50 bars based on timeframe and trading style
Gap Priority: When multiple gaps exist, closest gap to current price is most relevant
Advanced FVG Concepts:
Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap.
FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries.
Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail.
FVG + Liquidity Sweep Combination: The ultimate entry setup:
Liquidity sweep occurs
CHOCH confirms reversal
Price retraces into FVG created during the CHOCH move
Enter with exceptional risk-reward ratio
FVG Statistics & Probabilities:
Research on FVG behavior shows:
Approximately 70% of FVGs get filled within 20 bars
FVGs formed during CHOCH have 80%+ fill rate
Larger gaps (2x+ ATR) have lower but higher-quality fill rates
Higher timeframe FVGs are more magnetic than lower timeframe
Timeframe Considerations:
Daily FVGs:
Can remain unfilled for weeks
Major institutional zones
Often mark the absolute best entry prices for swing trades
When filled, usually result in strong reactions
4H FVGs:
Typically fill within 3-7 days
Excellent for swing trading
Balance between frequency and reliability
1H FVGs:
Usually fill within 1-3 days
Good for short-term position trading
More frequent signals
15M FVGs:
Often fill same day
Best used for intraday refinement
Should align with higher timeframe gaps
🔧 Customization & Settings Guide
Structure Detection Settings
Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure."
Low Values (3-7):
Identifies minor swings and frequent structure points
More BOS and CHOCH signals
Better for scalping and day trading
Risk: More false signals in choppy markets
Best for: 15M-1H charts, active traders
Medium Values (8-15):
Balanced approach capturing meaningful swings
Default setting works well for most traders
Good signal-to-noise ratio
Best for: 1H-4H charts, swing traders
High Values (16-50):
Only major structural points identified
Fewer but higher-quality signals
Cleaner charts with less noise
Better for trending markets
Best for: 4H-Daily charts, position traders
ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection.
Shorter Periods (7-14):
More responsive to recent volatility changes
Better during high volatility events
May overreact to short-term spikes
Longer Periods (15-30):
Smoother, more stable volatility measurement
Better for swing trading
Reduces sensitivity to short-term noise
Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep.
Low Multiplier (0.5-0.9):
Catches smaller, more frequent sweeps
More signals but lower reliability
Good for scalping or high-frequency trading
Use in ranging markets
Medium Multiplier (1.0-1.5):
Balanced sensitivity
Default 1.2 works for most situations
Good signal quality
High Multiplier (1.6-3.0):
Only major, obvious sweeps detected
Fewer but very high-quality signals
Best for trending markets
Use when you want only the clearest setups
Display Options
Toggle Controls: Each component can be individually enabled/disabled:
Show Market Structure:
Turn off when chart becomes too cluttered
Essential for understanding context, generally keep ON
Disable only when you know structure from higher timeframe
Show Liquidity Zones:
Highlights swept areas with boxes
Can be disabled if you prefer cleaner charts
Keep ON when learning to spot manipulation
Show Break of Structure:
BOS labels can be disabled if trading only reversals
Keep ON for trend following strategies
Show Change of Character:
Core SMC signal, usually keep ON
Only disable if focusing purely on continuation trading
Show Fair Value Gaps:
OFF by default to prevent overwhelming new users
Turn ON once comfortable with basic structure
Can generate many zones on lower timeframes
FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed.
Short Extension (5-10):
Keeps charts very clean
Only shows very recent gaps
Good for day trading
May remove gaps before they fill
Medium Extension (11-25):
Balanced approach
Captures most gap fills
Good for swing trading
Long Extension (26-50):
Shows historical gap context
Better for position trading
Higher timeframe analysis
Can make charts busy on lower timeframes
Color Scheme Customization
Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should:
Clearly distinguish bullish vs bearish elements
Work well with your chart background (dark/light mode)
Be visible but not distracting
Match your personal preference for aesthetics
Default Colors:
Bullish: Cyan (
#00ffff) - visibility and association with "cool" buying
Bearish: Red (
#ff0051) - visibility and universal danger/selling association
FVG Bullish: 85% transparent cyan - visible but not overpowering
FVG Bearish: 85% transparent red - visible but not overpowering
Customization Tips:
Increase transparency if zones overwhelm price action
Use higher contrast colors on light backgrounds
Keep bullish/bearish colors visually distinct
Test colors across different market conditions
Optimization by Market Type
Forex (24-hour markets):
Structure Lookback: 10-15
ATR Period: 14-21
Sweep Multiplier: 1.0-1.5
Best Timeframes: 15M, 1H, 4H
Stocks (Session-based):
Structure Lookback: 8-12
ATR Period: 14
Sweep Multiplier: 1.2-1.8
Best Timeframes: 5M, 15M, 1H, Daily
Note: Gaps at market open/close aren't FVGs
Cryptocurrency (High volatility):
Structure Lookback: 12-20 (filter noise)
ATR Period: 10-14 (responsive to volatility)
Sweep Multiplier: 1.5-2.5 (larger sweeps)
Best Timeframes: 15M, 1H, 4H
Indices (Moderate volatility):
Structure Lookback: 10-15
ATR Period: 14-20
Sweep Multiplier: 1.0-1.5
Best Timeframes: 1H, 4H, Daily
📈 Complete Trading System & Strategies
The Complete SMC Trading Process
Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes:
Identify the prevailing market structure (bullish or bearish)
Mark key swing highs and lows
Note any recent CHOCHs that signal trend changes
Identify major Fair Value Gaps that could act as targets or entry zones
Determine areas of liquidity (obvious highs/lows where stops cluster)
Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe:
Wait for alignment with higher timeframe bias
Look for CHOCH signals if expecting reversal
Look for BOS signals if expecting continuation
Identify liquidity sweeps that create trading opportunities
Note nearby FVGs for entry refinement
Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry:
After higher timeframe signal, wait for lower timeframe confirmation
Enter on FVG fills, structure breaks, or CHOCH signals
Place stop beyond swept liquidity or broken structure
Set targets at next structure level or opposite side of range
Step 4: Management Active trade management increases profitability:
Move stop to breakeven after price moves 1R (risk unit)
Take partial profits at first target (structure level)
Let remainder run to major targets
Trail stop using FVGs or structure breaks in your direction
Exit if a counter-trend CHOCH appears
High-Probability Trading Setups
Setup 1: The Classic CHOCH Reversal
Market Context:
Extended trend in one direction
Price reaching obvious highs/lows where liquidity pools
Setup Requirements:
Liquidity sweep of the high/low
CHOCH signal fires
(Optional) Wait for pullback to FVG
Entry: On CHOCH confirmation or FVG fill
Stop: Beyond swept liquidity
Target: Previous swing in opposite direction
Example (Bullish):
Market in downtrend for 2 weeks
Price sweeps below obvious daily low
Bullish CHOCH fires (breaks previous lower high)
Enter immediately or wait for pullback to bullish FVG
Stop below swept low
Target: Previous lower high, then previous high
Risk-Reward: Typically 1:3 to 1:5+
Setup 2: BOS Continuation with FVG Entry
Market Context:
Established trend with recent CHOCH
Strong momentum in trend direction
Setup Requirements:
Recent CHOCH established trend direction
BOS signal confirms continuation
Wait for pullback into FVG created on the BOS move
Entry: Limit order within FVG zone
Stop: Beyond FVG (invalid if exceeded)
Target: Next structural level
Example (Bearish):
Bearish CHOCH 2 days ago
Price makes BOS breaking new low
Large bearish FVG created during the break
Price retraces into FVG zone
Enter short at FVG fill
Stop above FVG
Target: Next major low or daily FVG below
Risk-Reward: 1:2 to 1:4
Setup 3: Liquidity Sweep Fade
Market Context:
Ranging market between defined highs/lows
Obvious liquidity on both sides of range
Setup Requirements:
Clear range established (minimum 20-30 bars)
Price sweeps one side of range (high or low)
Strong rejection back into range
Entry: After sweep rejection confirmed
Stop: Beyond swept level
Target: Opposite side of range
Example:
Range between 1.0850-1.0920 (EUR/USD)
Price sweeps above 1.0920 to 1.0935
Strong bearish rejection candle back below 1.0920
Enter short at 1.0915
Stop at 1.0940 (above sweep high)
Target: 1.0850 (range low)
Risk-Reward: 1:2.6
Setup 4: Multi-Timeframe CHOCH Alignment
Market Context:
Major trend change occurring
Multiple timeframes showing reversal signals
Setup Requirements:
Daily timeframe shows CHOCH
Wait for 4H CHOCH in same direction
Enter on 1H CHOCH that aligns
Entry: 1H CHOCH confirmation
Stop: Below 4H structure
Target: Daily structural level
Example (Bullish):
Daily bearish trend for months
Daily bullish CHOCH appears
4H shows bullish CHOCH next day
1H bullish CHOCH provides entry
Enter long on 1H signal
Stop: Below 4H swing low
Target: Daily previous high
Risk-Reward: 1:5 to 1:10+
Position: Larger size due to alignment
Setup 5: Failed CHOCH Continuation
Market Context:
Strong trend temporarily looks like reversing
"False" CHOCH creates trap for counter-trend traders
Setup Requirements:
Apparent CHOCH against main trend
Price fails to follow through
Original trend resumes with strong BOS
Entry: On BOS in original trend direction
Stop: Recent swing
Target: Extension of original trend
Example:
Strong daily uptrend
Bearish CHOCH appears (potential reversal)
Price consolidates but doesn't follow through down
Bullish BOS breaks above recent consolidation
Enter long on BOS
Stop: Below failed CHOCH low
Target: New high extension
Risk-Reward: 1:3 to 1:6
Note: Failed reversals often lead to explosive continuations
Risk Management Framework
Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups.
Risk Calculation:
Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points)
Example:
Account: $10,000
Risk: 1% = $100
Entry: 1.0900
Stop: 1.0870 (30 pips)
Position Size: $100 / 30 pips = $3.33 per pip
Lot Size (Forex): 0.33 lots
Stop Loss Placement:
For CHOCH Reversals:
Place stop 5-10 pips beyond swept liquidity
Gives room for volatility while protecting capital
If swept liquidity is violated, setup is invalidated
For BOS Continuations:
Place stop beyond the FVG or structure that provided entry
Typically tighter stops (closer to entry)
Can trail stop to breakeven quickly
For Range Trading:
Stop beyond the swept level
Generally tight stops work well in ranges
Exit quickly if range boundaries break
Take Profit Strategy:
Scaling Out Method (Recommended):
First Target (50% of position): First structural level (1:1 to 1:2)
Second Target (30% of position): Major structure (1:3 to 1:5)
Trail Stop (20% of position): Let run to full extension
Full Exit Method:
Hold entire position to predetermined target
Requires more discipline
Higher reward but also higher risk of giveback
Trade Management Rules:
Breakeven Rule: Move stop to breakeven after 1R profit
Partial Profit Rule: Take partials at structure levels
Trailing Rule: Trail stop
Strategy2.0 H4 Only + Volume Fightt.me
DESCRIPTION (EN)
Strategy2.0 H4 Only + Volume Fight is a trend-following indicator designed for H4 timeframe trading. It works consistently and correctly on any chart timeframe, while all calculations and signals remain strictly anchored to H4.
The indicator uses a three-layer entry filtering system. A trade is triggered only when all conditions are met simultaneously. The core idea is to enter the market only during confirmed trends and at the moment when real volume appears, avoiding flat markets and false moves.
The first condition is the trend direction defined by the main MACD (12, 26, 9) calculated on the H4 timeframe. Values above zero indicate a bullish trend, while values below zero indicate a bearish trend.
The second condition is momentum confirmation using a fast MACD (3, 7, 9), also calculated on H4. When the fast MACD moves against the main MACD, the market is considered to be in a preparation phase. Entry is allowed only when both MACDs are aligned in the same direction.
The third and key condition is the Volume Fight filter. This component analyzes the balance between bullish and bearish volume and highlights active and inactive market phases. Gray zones represent the absence of volume and market interest — trades are strictly forbidden in these areas. A signal appears only when the market exits a gray zone and volume confirms the movement.
Additionally, a liquidity filter based on 24-hour USD volume is used to exclude low-liquidity instruments. The volume is calculated strictly on the daily timeframe and does not depend on the current chart timeframe.
An optional correlation filter with a selected instrument (for example, BTC) is available to avoid excessive market dependency and duplicate exposure. Specific instruments can be excluded from correlation checks if needed.
All signals are strictly tied to the H4 timeframe. Switching to lower timeframes does not increase the number of signals. Repeated signals in the same direction are blocked until the main MACD changes its trend.
The indicator visually highlights market phases: green candles represent confirmed bullish trends, red candles represent confirmed bearish trends, and gray candles indicate the preparation phase. BUY and SELL signals appear on the next candle after confirmation, eliminating repainting.
This indicator is intended for swing and position trading and does not constitute financial advice.
polymarket 15 min markerHere is a professional and catchy description you can use when publishing this script on TradingView. It highlights the "pro" features we added (MTF capability, custom fonts, and bug fixes).
Title: Current 15m Open – Pro Anchored Level
Description:
What it does: This indicator is a precision tool for intraday traders. It automatically identifies and draws a horizontal line at the opening price of the current 15-minute candle. This level serves as a key pivot for intraday bias—price above is often bullish, price below is often bearish.
Unlike standard indicators, this script is engineered to be Multi-Timeframe (MTF) stable. This means you can view the 15m Open level while scalping on a 1-minute, 5-minute, or even 1-second chart, and the line will remain locked to the correct price without repainting or jumping.
Key Features:
🎯 Precision Anchor: Uses time-based coordinates to ensure the line starts exactly at the 15m candle open, regardless of your current timeframe.
⚡ Zero-Lag MTF: Instantly updates the moment a new 15-minute session begins.
💎 Luxury Visuals: Features a "Fancy Font" hack that uses special Unicode characters to display the label in a bold, professional serif style (customizable in settings).
📐 Smart Positioning: The label floats clearly on the right side of the chart (margin area), ensuring it never obstructs your view of the candles.
🛠 Stability Fixes: Includes custom logic to prevent the "disappearing line" bug that often occurs when viewing the same timeframe as the indicator source.
Settings:
Theme Color: Customize the line and text color to match your chart theme.
Font Style: Choose between "Luxury" (Serif), "Hacker" (Monospace), or "Modern" (Standard).
Text Offset: Adjust how far to the right the label sits.
How to use:
Add to your chart.
Use it as a bias filter: Look for longs above the blue line and shorts below it.
Perfect for scalpers who need to keep the higher-timeframe context visible at all times.
Auto Supply and Demand and ICT ExecutionsAuto Supply and Demand and ICT Executions is a professional-grade technical analysis suite designed to automate the visualization of institutional market structure and "Smart Money" execution signals. By combining automated Supply/Demand zoning with key ICT (Inner Circle Trader) concepts, this indicator provides a complete roadmap for identifying high-probability reversal and continuation setups on any timeframe.
Core Features:
Auto Supply & Demand Zones:
Automatically identifies and plots active Supply (Red) and Demand (Green) zones based on significant market structure pivots.
Persistent Logic: Zones remain active on the chart until price "mitigates" (closes beyond) them, ensuring you never miss a retest of a key level.
ATR Clutter Filter: Uses an Average True Range (ATR) algorithm to prevent zones from overlapping, keeping your chart clean and readable.
ICT Execution Signals (MSS):
Market Structure Shifts (MSS): Automatically detects valid shifts in market structure when price breaks a key structural high or low following a liquidity sweep.
Instant Signal Labels: clearly labels breakout points with "MSS ↑" (Bullish) or "MSS ↓" (Bearish) tags.
Auto Risk/Reward Projections:
Upon detecting an MSS signal, the indicator instantly projects a Risk/Reward (R:R) Box (default 1:2) anchored to the breakout candle.
This provides immediate, visual Take Profit (Green) and Stop Loss (Red) targets, allowing for instant trade assessment without manual measuring.
Multi-Timeframe (MTF) Confluence:
Projects Higher Timeframe (HTF) Zones (default: 15-minute) directly onto your current chart.
This allows you to align your lower-timeframe entries (e.g., 1-minute) with the dominant institutional trend without switching screens.
Institutional Concepts:
Liquidity Sweeps: Highlights "Stop Hunt" pivots where price briefly breaches a recent swing high/low to trap traders before reversing.
Fair Value Gaps (FVG): Visualizes historical price imbalances (gaps) where aggressive institutional buying or selling occurred.
Silver Bullet Session: Automatically highlights the high-probability 10:00 AM - 11:00 AM NY trading window.
How to Trade with This Indicator:
Identify Structure: Wait for price to approach a Supply or Demand Zone (especially if it overlaps with an MTF Zone).
Confirm the Sweep: Look for the "Sweep" label, indicating liquidity has been grabbed.
Execute on Signal: Enter the trade when the "MSS" label appears, confirming the reversal.
Manage the Trade: Use the automated R:R Box to set your Stop Loss and Take Profit levels.
ICT Power of 3 identify the high-probability Power of 3 pattern by analyzing price behavior rather than just specific times of day. It focuses on how the market builds, traps, and then expands.
1. Accumulation (The Setup)
Logic: The script monitors volatility using the Average True Range (ATR). When volatility drops below its recent average, the script recognizes that orders are being "accumulated."
Visual: A Blue Dotted Box appears. This marks the equilibrium zone where buy and sell side liquidity is being engineered above and below the high/low of the range.
2. Manipulation (The Trap)
Logic: The script looks for a "Sweep." This is defined as price moving outside the blue accumulation box but failing to sustain that move. In the video, this is the "Judas Swing" or false breakout.
Visual: A Red Diamond appears above or below the bar. This signals that the script has detected a liquidity grab—essentially, the market has "tricked" breakout traders into the wrong side of the market.
3. Distribution (The Expansion)
Logic: This is identified through Displacement. The script calculates the average candle body size. When a candle appears that is significantly larger (based on your Displacement Multiplier), it confirms that "Smart Money" has entered the market.
Visual: A Green Triangle appears. This marks the start of the distribution phase, which is the "meat" of the move where you want to be positioned.
DayTradeMind Combined High Win Rate StrategyThe DayTradeMind Combined High Win Rate Strategy is a trend-following system that relies on confluence—the idea that a trade signal is stronger when multiple independent indicators agree. Instead of entering on a single indicator's whim, it uses a "voting" system to qualify entries and a strict risk-to-reward ratio to manage exits.Here is a breakdown of the three main layers of this strategy:1. The Voting Engine (Confluence Model)The strategy tracks four indicators and assigns a "point" for a bullish or bearish bias. It requires a minimum number of points (set by minConfirmations, usually 2/4) before it even considers a trade.IndicatorBullish Condition (1 point)Bearish Condition (1 point)PurposeMACDMACD Line > Signal LineMACD Line < Signal LineMeasures short-term momentum.DonchianPrice > 20-period MedianPrice < 20-period MedianIdentifies price relative to recent range.SuperTrendPrice above trend linePrice below trend lineFilters for the "Macro" trend direction.%B (Bollinger)Price in lower-mid range (0.2–0.5)Price in upper-mid range (0.5–0.8)Prevents buying when overextended.2. The Entry TriggerHaving enough "votes" (confirmations) isn't enough to enter. The strategy waits for a trigger event to ensure you aren't entering a stale trend. An entry only occurs if the minimum confirmations are met AND one of the following happens on the current bar:MACD Cross: The MACD line crosses over the signal line.Structural Break: The price crosses over the Donchian Middle (Median) line.This "Confirmation + Trigger" approach is designed to catch the start of a momentum push rather than buying a flat market.3. Mathematical Risk ManagementThe performance you see in your backtest (like the 46.86% return) is largely driven by the 2:1 Reward-to-Risk (RR) Ratio.Stop Loss (SL): Fixed at 2% below entry.Take Profit (TP): Fixed at 4% above entry.By aiming for a target twice as large as the risk, the strategy can remain profitable even with a win rate as low as 35%–40%. Mathematically, your winning trades compensate for more than two losing trades.Visualizing the SystemTriangles: Small green (up) and red (down) triangles appear on your chart only when the Votes + Trigger align perfectly.Background Shading: Faint green or red bands show you exactly when the "Confluence" is active. If the background is gray, the indicators are in conflict.Dashboard: The table in the top-right summarizes the current "score" for each indicator, letting you know how close you are to a potential trade signal.
Magnitude of MovementThie calculase the ratio between Mod of Open Price-Current Price and Mod of Open Volume and current volume
ICT First FVG Per Session - Big Boss TradersICT First FVG Per Session like per session FVG Asia FVG london First P FVG and New york first P FVG
First FVG per Session - Big boss traders First FVG per Session like Asia first Persented FVG London and Ny
ACHT EMA Cross Pullback Strategy with HTF Filter, RSI SignalsADVANCED INDICATOR FOR TRADING USING EMA CROSS PULLBACK STRATEGY
✨ MAIN FEATURES:
• 📈 Signals on pullback after EMA9/EMA20 crossover
• 🔍 Multi-level signal filtering
• 🕒 Multi-timeframe analysis (HTF filter)
• 🛡️ Trend indicator protection
• 📊 Compact information panel
🎯 MAIN SIGNALS:
1️⃣ EMA CROSS + PULLBACK
• EMA9 crosses EMA20 up/down
• Price pullback to EMA9 after crossover
• EMA200 filter (bullish/bearish trend)
2️⃣ RSI SIGNALS IN HTF ZONES
• RSI crossing its SMA
• Works only in HTF zones
• "First signal only" option in zone
🛡️ INDICATOR FILTERS:
• ✅ SuperTrend - main trend identification
• ✅ MACD - additional trend confirmation
• ✅ RSI - overbought/oversold filter
• ✅ HTF filter - higher timeframe analysis
⚙️ CUSTOMIZATION OPTIONS:
• Adjustable periods for all indicators
• Enable/disable each filter
• RSI level settings
• HTF filter timeframe selection
• Signal visualization options
📱 INFORMATION PANEL:
• Compact table with key metrics
• Status of all filters and indicators
• Visual HTF zone indicators
• Emoji for quick perception
🚨 ALERT SYSTEM:
• Alerts on main signals
• Alerts on HTF zone entry
• Alerts on RSI signals
• Customizable trigger conditions
📈 USAGE RECOMMENDATIONS:
1. Wait for EMA9 and EMA20 crossover
2. Look for price pullback to EMA9
3. Check all filter compliance
4. Ensure HTF zone presence
5. Use RSI signals as supplement
⚠️ RISKS AND LIMITATIONS:
• Indicator doesn't guarantee profit
• Always use stop-losses
• Test strategy on demo account
• Adapt parameters to your trading style
BERNA (Boundary-Encoded Resonance Network Architecture)BERNA — Boundary-Encoded Resonance Network Architecture
BERNA is a research-grade indicator that estimates the remaining structural capacity of the current market regime.
Unlike trend, volatility, or momentum tools, BERNA does not measure price direction — it measures how much of the regime’s internal capacity has already been consumed.
This script implements the BERNA model published on Zenodo (Bülent Duman, 2026).
It is intentionally minimal and uses only OHLC data.
What BERNA measures
BERNA outputs a structural capacity state:
τ = Σ / Θ (normalized structural stress)
Λ = Θ − Σ (remaining structural capacity)
Interpretation:
High Λ / low τ → the regime has structural endurance
Rising τ → capacity is being consumed
τ → 1 (Λ → 0) → rupture proximity (capacity exhaustion)
This makes BERNA a forward-looking structural capacity variable, not a price oscillator.
What is inside this script
This implementation contains the following components:
Efficiency proxy (DERYA-like, but not the full public DERYA)
BERNA uses a simple microstructure efficiency proxy computed as:
E = |close − open| / (high − low)
This is conceptually “DERYA-like” but it is not the full DERYA framework.
No external/public DERYA source code is embedded here.
Standard technical primitives used
This script uses only basic primitives commonly found in technical analysis:
Absolute value and range normalization
Thresholding (regime binning)
Power transform on range (rng^p)
There is no EMA, RSI, MACD, ATR, ADX, Fisher, Kaufman, or other indicator embedded.
All computations are internal and deterministic.
3-state structural regime binning (K = 3)
The efficiency proxy E is discretized into three regimes using user thresholds:
Low efficiency
Mid efficiency
High efficiency
Each regime has its own capacity Θ and stress multiplier β.
Structural stress accumulation (Σ) and rupture proximity
Stress increment is defined as:
dΣ = β · (1 − E) · (range^p)
Σ accumulates inside a regime and is capped by Θ.
In this prototype, Σ resets on regime change by construction (regime-gated accumulation).
The rupture proximity is expressed through τ and Λ.
How to use BERNA
BERNA is designed as a regime-health and fragility overlay, not a buy/sell trigger.
Typical uses:
Detect when an ongoing move is structurally late-stage (τ high, Λ low)
Avoid initiating trades when capacity is nearly exhausted
Compare structural resilience across assets and regimes
Use alongside price/trend/volume systems for context
Do not use BERNA alone as a trading signal.
BERNA tells you “how much structure is left”, not “where price will go.”
Visuals
Efficiency (E) shows the bar-level microstructure efficiency proxy
τ shows normalized structural stress (capacity consumption)
Λ shows remaining structural capacity
Dotted lines mark warning and critical rupture proximity levels
Important notes
BERNA is not RSI, MACD, ATR, ADX, Fisher, Kaufman, or a volatility model
BERNA does not predict price direction
BERNA does not issue entry/exit signals
BERNA is a structural capacity diagnostic
This script does not embed any external/public indicator code; all logic is implemented directly in Pine.
Risk and disclaimer
This script is provided for research and analytical purposes only.
It is not financial advice and must not be used as a standalone trading system.
Markets are uncertain.
All trading decisions and risks remain entirely the responsibility of the user.
BERNA: Boundary-Encoded Resonance Network Architecture
A Structural Failure Theory of Financial Regimes Based on Endogenous Capacity Depletion
Author: Duman, Bülent
Affiliation: Independent Researcher
Reference: zenodo.org
15m RVOL + CPR Screener [AA37Amna5633]relvol and cpr table 4h 15mint relvol and cpr table relvol and cpr table relvol and cpr table relvol and cpr table
FRVP VA Zones + MACD + EMA Ribbon{A37Amna5633}fulemas, frvp, with selectable colours lines, and switch on, off levels, with riboon ema 1,2 box selectable ribbon thicknes ,recomended with ema1with 3, and ema2 with7
FRVP VA Zones + MACD + EMA Ribbon {A37Amna5633} emas, frvp with selectable coulours in the setting, and swtch on/off lines on the chart in the setting with macd chart
TradeChillOut Ma trend uj1.ema 5 high
2.ema 5 low
3.ema 13 high
4.ema 13 low
5.kama close 10 5 55
6.hma 89
7.hma 150
8.hma 300
