Session Levels [odnac]This indicator plots the high and low levels of the three main trading sessions—Asia, Europe, and New York—along with the previous day’s high, low, and open. Each session’s time range can be customized using a UTC offset, and the indicator automatically tracks session highs and lows as price develops.
Functions:
Plots session highs and lows for Asia, Europe, and New York.
Shows previous day’s high, low, and open as reference levels.
Session times are fully configurable with hour and minute precision, including UTC offset adjustment.
Each session level is marked with both a line and a label for clarity.
Color customization for each session and previous day levels.
Designed for intraday timeframes (1–60 minutes).
Filter Condition:
When the filter option is enabled, the indicator adjusts how levels are drawn:
A session high above the current close is displayed as a solid line with a visible label.
Once price closes above that high, the line becomes dotted and dimmed, and the label also becomes less emphasized.
Similarly, a session low below the current close is displayed as a solid line and label.
If price closes below that low, the line switches to dotted and dimmed, with the label adjusted accordingly.
This behavior highlights only the most relevant levels for the current market position while still keeping breached levels visible in a subdued style, making it easier to spot active breakout or liquidity zones.
Cicli
Sunset Zones by PDVDescription
Sunset Zones by PDV is an intraday reference indicator that plots key horizontal levels based on selected “root candles” throughout the trading day. At each programmed time, the indicator identifies the high and low of the corresponding candle and projects those levels forward with extended lines, providing traders with a clean visual framework of potential intraday reaction zones.
These zones serve as reference levels for support, resistance, liquidity grabs, and session context, allowing traders to analyze how price reacts around time-specific structures. Unlike lagging indicators, Sunset Zones gives traders real-time, rule-based levels tied directly to the price action of specific moments in the session.
Key Features
Predefined Time Codes
The script comes with a curated list of intraday timestamps (in HHMM format). Each represents a “root candle” from which levels are generated. Examples include 03:12, 06:47, 07:41, 08:51, etc. These time codes can reflect historically important market moments such as session opens, liquidity sweeps, or volatility inflection points.
Automatic Zone Plotting
At each root time, the script captures the candle’s high and low and instantly extends those levels forward across the chart. This provides consistent, objective reference points for intraday trading.
Extended Lines
Levels are projected far into the future (default: 500 bars) so traders can easily track how price interacts with those zones throughout the day.
Color-Coded Levels
Each root time is assigned a distinct color for fast identification. For example:
03:12 → Fuchsia
06:47 → Purple
07:41 → Teal
08:51 → White
09:53 → White
10:20 → Orange
11:10 → Green
11:49 → Red
12:05 → White
13:05 → Teal
14:09 → Aqua
This helps traders quickly recognize which time-of-day level price is interacting with.
Lightweight & Visual
The indicator focuses purely on price and time, avoiding complexity or lagging signals. It can be layered with other analysis tools, order flow charts, or session-based studies.
Practical Use Cases
Intraday Bias:
Observe whether price respects, rejects, or consolidates around these reference levels to form a bias.
Liquidity Zones:
High/low sweeps of the root candle can act as liquidity pools where institutions might trigger stops or reversals.
Support & Resistance:
Extended lines create intraday S/R zones without the need to manually draw levels.
Confluence Finder:
Combine Sunset Zones with VWAP, session ranges, Fibonacci levels, or higher-timeframe structure for layered confluence.
Important Notes
This is a visual reference tool only. It does not generate buy or sell signals.
Default times are provided, but the concept is flexible — traders can adapt it by modifying or expanding the list of time codes.
Works best on intraday timeframes where session structure is most relevant (e.g., 1-minute to 15-minute charts).
✅ In short: Sunset Zones by PDV gives intraday traders a systematic way to anchor their charts to important time-based highs and lows, creating a consistent framework for analyzing price reactions across the day.
MTF FVG Confluence v6 — JSON Alerts via alert()This strategy combines multi-timeframe confluence with candlestick analysis and fair value gaps (FVGs) to generate structured long/short entries. It aligns Daily and 4H EMA trends with 1H MACD momentum, then confirms with engulfing candles and FVG zones for precision entries. Risk management is built-in, featuring stop-loss, 3R take-profit targets, and optional break-even logic, with dynamic JSON alerts for webhook automation.
Categories:
Candlestick analysis
Chart patterns
Cycles
dabilThe strategy is probably to go short or long with the trend depending on the case, but if all time units 1 minute then 3 minutes then 5 minutes then 15 minutes then 1 hour all show the same direction, but first the 1 hour must be bullish in which the 1 hour candle closes above the previous one, for example if the trend is bearish then the market wants to change direction, then a 1 hour bullish close must then be followed by a 1 hour bearish close below the bullish candle, then another bullish candle must shoot above the previous bullish candle, then 15 minutes also shoot above the previous 15 bullish candles, then 1 and 2...3.5. Then I can rise with the market by only covering the last 15 bullish candles with my stop loss, if my SL is 50 pips then I want 100 pips and then I'm out.
Gronk-Style Lunar Cycle Projection (fixed 30m base)Based on the lunar cycle timing provided by Gronko Polo - A Bromance in Finance
Multi Moving Averages with AlertsJUST moving Averages for EMA with ability to turn on and off and shows EMA on right side of it.
emavelas StrategyThe "emavelas Strategy" is a TradingView Pine Script (v6) for trend-following trading, combining EMA crossovers (7 and 25 periods) with candlestick patterns, market structure (HH/HL, BOS/CHOCH), volume/RSI filters, and multi-timeframe alignment (5m to Daily). It generates confirmed buy/sell signals, visualizes trends with lines/labels/tables, and includes backtesting with risk management (RR 2:1, dynamic SL/TP based on swings). Ideal for stocks, forex, or crypto on lower timeframes. Customizable via inputs; test in Strategy Tester. Note: Trading involves risks; not financial advice.
Seasonality - Multiple Timeframes📊 Seasonality - Multiple Timeframes
🎯 What This Indicator Does
This advanced seasonality indicator analyzes historical price patterns across multiple configurable timeframes and projects future seasonal behavior based on statistical averages. Unlike simple seasonal overlays, this indicator provides gap-resistant architecture specifically designed for commodity futures markets and other instruments with contract rolls.
🔧 Key Features
Multiple Timeframe Analysis
Three Independent Timeframes: Configure separate historical periods (e.g., 5Y, 10Y, 15Y) for comprehensive analysis
Individual Control: Enable/disable historical lines and projections independently for each timeframe
Color Customization: Distinct colors for historical patterns and future projections
Advanced Architecture
Gap-Resistant Design: Handles missing data and contract rolls in futures markets seamlessly
Calendar-Day Normalization: Uses 365-day calendar system for accurate seasonal comparisons
Outlier Filtering: Automatically excludes extreme price movements (>10% daily changes)
Roll Detection: Identifies and excludes contract roll periods to maintain data integrity
Real-Time Projections
Forward-Looking Analysis: Projects seasonal patterns into the future based on remaining calendar days
Configurable Projection Length: Adjust forecast period from 10 to 150 bars
Data Interpolation: Optional gap-filling for smoother seasonal curves
📈 How It Works
Data Collection Process
The indicator collects daily price returns for each calendar day (1-365) over your specified historical periods. For each timeframe, it:
Calculates daily returns while excluding roll periods and outliers
Accumulates these returns by calendar day across multiple years
Computes average seasonal performance from January 1st to current date
Projects remaining seasonal pattern based on historical averages
🎯 Designed For
Primary Use Cases
Commodity Futures Trading: Corn, soybeans, coffee, sugar, cocoa, natural gas, crude oil
Seasonal Strategy Development: Identify optimal entry/exit timing based on historical patterns
Pattern Validation: Confirm seasonal tendencies across different time horizons
Market Timing: Compare current performance against historical seasonal expectations
Trading Applications
Trend Confirmation: Use multiple timeframes to validate seasonal direction
Risk Assessment: Understand seasonal volatility patterns
Position Sizing: Adjust exposure based on seasonal performance consistency
Calendar Spread Analysis: Identify seasonal price relationships
⚙️ Configuration Guide
Timeframe Setup
Configure each timeframe independently:
Years: Set historical lookback period (1-20 years)
Historical Display: Show/hide the seasonal pattern line
Projection Display: Enable/disable future seasonal projection
Colors: Customize line colors for visual clarity
Display Options
Current YTD: Compare actual year-to-date performance
Info Table: Detailed performance comparison across timeframes
Projection Bars: Control forward-looking projection length
Fill Gaps: Interpolate missing data points for smoother curves
Debug Features
Enable debug mode to validate data quality:
Data Point Counts: Verify sufficient historical data per calendar day
Roll Detection Status: Monitor contract roll identification
Empty Days Analysis: Identify potential data gaps
Calculation Verification: Debug seasonal price computations
📊 Interpretation Guidelines
Strong Seasonal Signal
All three timeframes align in the same direction
Current price follows seasonal expectation
Sufficient data points (>3 years minimum per timeframe)
Seasonal Divergence
Different timeframes show conflicting patterns
Recent years deviate from longer-term averages
Current price significantly above/below seasonal expectation
Data Quality Indicators
Green Status: Adequate data across all calendar days
Red Warnings: Insufficient data or excessive gaps
Roll Detection: Proper handling of futures contract changes
⚠️ Important Considerations
Data Requirements
Minimum History: At least 3-5 years for reliable seasonal analysis
Continuous Data: Best results with daily continuous contract data
Market Hours: Designed for traditional market session data
Limitations
Past Performance: Historical patterns don't guarantee future results
Market Changes: Structural shifts can alter traditional seasonal patterns
External Factors: Weather, geopolitics, and policy changes affect seasonal behavior
Contract Rolls: Some data gaps may occur during futures roll periods
🔍 Technical Specifications
Performance Optimizations
Array Management: Efficient data storage using Pine Script arrays
Gap Handling: Robust price calculation with fallback mechanisms
Memory Usage: Optimized for large historical datasets (max_bars_back = 4000)
Real-Time Updates: Live calculation updates as new data arrives
Calculation Accuracy
Outlier Filtering: Excludes daily moves >10% to prevent data distortion
Roll Detection: 8% threshold for identifying contract changes
Data Validation: Multiple checks for price continuity and data integrity
🚀 Getting Started
Add to Chart: Apply indicator to your desired futures contract or commodity
Configure Timeframes: Set historical periods (recommend 5Y, 10Y, 15Y)
Enable Projections: Turn on future seasonal projections for forward guidance
Validate Data: Use debug mode initially to ensure sufficient historical data
Interpret Patterns: Compare current price action against seasonal expectations
💡 Pro Tips
Multiple Confirmations: Use all three timeframes for stronger signal validation
Combine with Technicals: Integrate seasonal analysis with technical indicators
Monitor Divergences: Pay attention when current price deviates from seasonal pattern
Adjust for Volatility: Consider seasonal volatility patterns for position sizing
Regular Updates: Recalibrate settings annually to maintain relevance
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This indicator represents years of development focused on commodity market seasonality. It provides institutional-grade seasonal analysis previously available only to professional trading firms.
FVG & SMA @danciFVG zones with 200 SMA & daily dividers for intraday analysis, customizable and clear.
RUBY SYSTEM📋 Step 1: Setup & Installation
Add to TradingView:
Copy the entire Pine Script code from the artifact above
Open TradingView → Go to Pine Editor (bottom of screen)
Paste the code and click "Add to Chart"
Boom! Your chart now has institutional-level analysis
Customize Your Settings:
Click the ⚙️ gear icon on the indicator to adjust:
EMA Length: Keep at 9 (optimal for price action)
Stop Loss Method: Choose "Structure" (uses swing highs/lows)
Risk:Reward: TP1 at 1.5R, TP2 at 3R (customize as needed)
Volume Filter: Keep ON (avoids low-conviction moves)
🎯 Step 2: Reading the Visual Signals
What You'll See on Your Chart:
📊 Core Lines:
🟠 Orange Line: VWAP (institutional fair value)
🔵 Blue Line: EMA 9 (trend filter)
📦 Order Flow Boxes:
🟢 Green Boxes: Bullish Order Blocks (banks bought here)
🔴 Red Boxes: Bearish Order Blocks (institutions sold here)
📱 Green/Red FVG Boxes: Fair Value Gaps (price imbalances)
🎯 Entry Signals:
🟢 Green Triangle UP: Long entry signal
🔴 Red Triangle DOWN: Short entry signal
💎 Orange Diamonds: Liquidity sweeps (stop hunts)
⬆️ Lime Arrows: Bullish Break of Structure
⬇️ Purple Arrows: Bearish Break of Structure
📏 Trade Management Lines:
🔴 Red Dashed Line: Stop Loss level
🟢 Green Dashed Line: Take Profit level
🚀 Step 3: How to Trade
🔍 BEFORE Entering Any Trade:
Check the Dashboard (top-right corner):
HTF Trend: Only trade WITH the trend
Volume Surge: Want this to be TRUE
Market Structure: Look for BoS signals
📈 LONG ENTRY Checklist:
✅ Green triangle appears (entry signal)
✅ Price above VWAP (orange line)
✅ Price above EMA (blue line)
✅ HTF Trend shows "Bullish"
✅ Volume Surge = True
✅ Recent Break of Structure UP (↑)
📉 SHORT ENTRY Checklist:
✅ Red triangle appears (entry signal)
✅ Price below VWAP (orange line)
✅ Price below EMA (blue line)
✅ HTF Trend shows "Bearish"
✅ Volume Surge = True
✅ Recent Break of Structure DOWN (↓)
💰 Step 4: Trade Management
🛑 Stop Loss (Red Dashed Line):
Automatically calculated at recent swing high/low
NEVER move your stop against you
Only move to break-even after hitting first target
🎯 Take Profit (Green Dashed Line):
TP1: 1.5 Risk:Reward (take 50% profits)
TP2: 3.0 Risk:Reward (take remaining 50%)
Or hold until price closes opposite side of EMA
🚪 Exit Rules:
LONG: Exit when price closes BELOW EMA (blue line)
SHORT: Exit when price closes ABOVE EMA (blue line)
Or hit your stop loss
🏆 Step 5: Advanced Strategies
🎪 The "Liquidity Sweep" Setup:
Wait for orange diamond (liquidity sweep)
Look for immediate reversal back into structure
Enter when green/red triangle confirms
These are PREMIUM setups - highest win rate
📦 The "Order Block Retest":
Wait for price to hit a green/red box (order block)
Look for rejection from that zone
Enter when triangle signal appears
Institutions often defend these levels
🔄 The "VWAP Retest":
Price breaks VWAP with volume
Comes back to retest VWAP (orange line)
Gets support/resistance at VWAP
Enter on triangle signal confirmation
🚨 Step 6: Risk Management Rules
⚠️ NEVER Trade When:
Volume Surge = False (low conviction)
HTF Trend contradicts your direction
No Break of Structure signal
Market Structure shows "Ranging"
💡 Position Sizing:
Risk 1-2% per trade maximum
Use the stop loss line to calculate position size
Never risk more than you can afford to lose
📊 Best Timeframes:
5M-15M: Scalping (quick in/out)
1H-4H: Swing trading (hold longer)
Daily: Position trading
🎯 Quick Start Checklist:
✅ Add indicator to chart
✅ Wait for green/red triangle signal
✅ Check dashboard shows favorable conditions
✅ Confirm HTF trend alignment
✅ Enter trade at signal
✅ Set stop at red dashed line
✅ Take profits at green dashed line
✅ Exit if price closes opposite side of EMA
🚀 Pro Tips:
Be patient - wait for ALL confirmations
Quality over quantity - fewer high-probability trades win
Practice on paper before going live
Backtest on historical data to build confidence
Set up alerts so you don't miss signals
DCA Anchor (Weekly/Monthly/N Bars) [CHE] What is Dollar-Cost Averaging (DCA)?
DCA is a position-building method where you invest a fixed amount at fixed intervals (e.g., weekly or monthly) regardless of price. Over time, this:
reduces timing risk (you don’t need to guess tops/bottoms),
smooths entry price by buying more units when price is low and fewer when price is high,
keeps decisions simple and repeatable.
Trade-offs:
You’ll never catch the exact bottom.
In strong uptrends, lump-sum can outperform.
Fees matter if you buy very frequently.
Simple math:
Qty bought at time t = `amount / price_t` (net of fees if fees are not “on top”).
Total qty = sum of all buys.
Average price (cost basis) = `total invested / total qty`.
Equity = `total qty last price`.
P\&L = `equity − total invested` (and `%` = `P&L / total invested`).
DCA Anchor (Weekly/Monthly/N Bars)
Purpose: automate scheduled DCA buys on chart data, optionally add extra buys on drawdowns, track stats, and fire alerts.
Core features
Schedules:
1. Every N bars,
2. Weekly (first bar of a new week),
3. Monthly (first bar of a new month).
A Start time input gates when the logic begins.
Fees model:
Fee on top: you pay `amount + fee` in cash; quantity = `amount / close`.
Fee from amount: fee is deducted from the amount; quantity is smaller, cash outlay equals `amount`.
Optional drawdown buys:
Trigger when `close ≤ avgCost (1 − ddPct/100)`.
Controls: drawdown % threshold, multiplier (extra size vs. base amount), and cooldown in bars.
State & metrics: tracks total invested, total quantity, average price, equity, P\&L (abs/%).
Visuals:
Line plot of Average Price.
Buy labels at execution bars (plan and drawdown).
Compact table (positionable) with key stats (trades, invested, qty, avg price, equity, P\&L).
Alerts:
Plan Buy (Bar Close) and Drawdown Buy (Bar Close) — robust, non-repainting.
Optional Intrabar Preview alerts for early heads-up (can fire before bar close).
How to use it (quick start)
1. Add to chart → Inputs:
Buy frequency: pick Every N bars, Weekly, or Monthly.
Start time: date from which buys may begin.
Buy amount: fixed cash per planned buy.
Fees % and Fee on top? to match your broker/exchange model.
(Optional) Enable drawdown buy, set threshold %, multiplier, and cooldown.
Toggle Show buy labels and Show stats table.
2. Alerts (recommended):
Use “DCA Plan Buy (Bar Close)” and/or “DCA Drawdown Buy (Bar Close)” with Once per bar close.
If you need early signals, enable Intrabar pre-alerts and add the two Intrabar Preview alerts with Once per bar.
3. Interpretation:
The yellow line is your average price.
Green/orange markers show plan buys and drawdown buys.
The table summarizes total trades, invested capital, quantity, average price, current equity, and P\&L.
Practical notes
All executions occur at bar close by default to avoid intrabar repainting.
Weekly/monthly roll depends on the symbol’s exchange calendar.
Backtest realism: no slippage, no partial fills. Fees are modeled as configured.
If you buy very frequently, consider higher “N” or weekly/monthly to keep fees under control.
If you want, I can tailor the defaults (amount, fee model, drawdown rules) to your typical markets and timeframes.
Disclaimer
No indicator guarantees profits. DCA Anchor (Weekly/Monthly/N Bars) is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
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.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
SSL CHANNEL 2.0SSL Channel + Braid Filter + MFI Alerts (TanTechTrades™)
This indicator combines three confirmation tools — SSL Channel, Braid Filter, and Money Flow Index (MFI) — to generate precise buy/sell alerts.
🔹 Features
SSL Channel: Trend direction based on moving averages of highs and lows
Braid Filter: Confirms trend strength via EMA separation and volatility filter
MFI: Volume-adjusted momentum for validation of long/short entries
Alerts for both long and short signals
Background coloring for visual Braid Filter confirmation
Signal markers on the chart (BUY/SELL labels + colored circles)
🔹 How It Works
Long Signal: SSL bullish crossover + Braid Filter green + MFI above threshold
Short Signal: SSL bearish crossunder + Braid Filter red + MFI below threshold
Plots dynamic trend lines and color-coded backgrounds to reinforce signals visually
This multi-indicator system helps reduce false signals by requiring trend, momentum, and volume confirmation before entries.
⚠️ Disclaimer: Educational purposes only. Not financial advice.
SESSIONS Golden Team SESSIONS — Multi-Session Forex Box & Range Analysis
This indicator displays the major Forex market sessions — London, New York, Tokyo, Sydney, and Frankfurt — directly on the chart. Each session is shown as a customizable colored box with optional Fibonacci levels and opening range markers.
It also calculates and displays the average pip range of each session over a user-defined number of past days, allowing traders to analyze volatility patterns for each trading period.
Key Features:
Configurable session times and time zones
Individual on/off toggle for each session
Custom colors, box transparency, and border styles
Optional Opening Range and Fibonacci retracement levels for each session
Average pip range table for quick volatility reference
Works on any intraday timeframe
How It Works:
The script identifies the start and end times of each session based on user settings.
A box is drawn around the high/low of the session period.
At the end of each session, the pip range is recorded, and an average is calculated over the last N sessions (default: 20).
The results are displayed in a statistics table showing average pips and whether the session is currently active.
Suggested Use:
Identify high-volatility sessions for breakout trading
Filter trades to active trading hours
Study historical volatility to refine entry timing
FX Market Sessions serkanMarket stock market opening and closing indicators
Opening and closing time ranges
Frankfurt
London
CM
New York opening and closing time ranges
Minute speciale universale (3,11,17,29,41,47,53,59)//@version=5
indicator("Minute speciale universale (3,11,17,29,41,47,53,59)", overlay=true, max_labels_count=500)
// lista de minute speciale
var int specials = array.from(3, 11, 17, 29, 41, 47, 53, 59)
// minutul de start al barei (0..59)
mStart = minute(time)
// durata barei (secunde) -> minute
secInBar = timeframe.in_seconds(timeframe.period)
isIntraday = timeframe.isintraday
minutesInBar = (isIntraday and not na(secInBar)) ? math.max(1, int(math.ceil(secInBar / 60.0))) : 0
// caută dacă vreo valoare din `specials` cade în intervalul barei
bool hit = false
var int first = na
if minutesInBar > 0
for i = 0 to array.size(specials) - 1
s = array.get(specials, i)
delta = (s - mStart + 60) % 60
if delta < minutesInBar
hit := true
if na(first)
first := s
// etichetă (o singură linie ca să evităm parse issues)
if hit
label.new(bar_index, high, str.tostring(first), xloc=xloc.bar_index, yloc=yloc.abovebar, style=label.style_label_up, color=color.black, textcolor=color.white, size=size.tiny)
Worstfx Fractal Sessions V1.0Worstfx Sessions V.1.0 (Eastern Timezone)
A simple but powerful session visualizer designed to keep your focus on the right market windows. This indicator is designed to outline major Forex/Futures market sessions.
It is built for traders who want visual clarity on sessions & important market structure zones.
✅ Features:
• Automatic shading of Asia, London, Pre-NY, and NY sessions.
• Centered session titles that adapt to each window.
• 6:00 pm ET day divider (new trading day) with vertical weekday labels.
• Lightweight design — no extra clutter, just structure.
⚙️Customization
• Session colors & opacity: change each session’s look.
• Titles: toggle on/off, adjust color and font size.
• Dividers: toggle day divider on/off, change line color, choose weekday label color/size
🦾 Strengths
• Forces traders to see the market in cycles instead of random candles.
• Makes fractal rhythm (Asia → London → NY) visual.
• Great for building timing & patience (when not to trade matters just as much).
🚧 Limitations:
• Traders still need skill in reading price action inside the sessions — the indicator frames the market, but doesn't "predict."
- Score: 9/10 - Extremely useful, especially for people who get lost in noise. It gives them a map.
Stay tuned for updates!
VWAP MTF Scalping ModuleThe VWAP MTF indicator allows you to visualize anchored VWAP across multiple timeframes, while maintaining a clean and responsive display.
Designed for intraday traders, scalpers, and swing traders, this module offers a clear view of volume-weighted average price zones across key timeframes (1m, 5m, 15m, 1h... customizable).
Weekly Period Separator [Adjustable History]Features:
Adjustable History: Shows weekly separators for a configurable number of weeks back (1-100 weeks)
Customizable Appearance:
Choose line color, width, and style (solid, dotted, dashed)
Defaults to showing 10 weeks of historical data
Accurate Week Detection: Properly handles week boundaries regardless of timezone
Clean Implementation: Uses lines that extend from bottom to top of chart
Multi-Timeframe HTS Retest Strategy v6Multi-Timeframe HTS Retest Strategy v6 is a trend-following tool designed to detect high-probability retest entries aligned with higher timeframe direction. The indicator applies HTS bands (short & long) on both the current and higher timeframe (4x–8x multiplier) to confirm market bias.
A strong trend is validated when HTS bands separate on the higher timeframe. On the lower timeframe, the strategy tracks price behavior relative to the bands: after breaking outside, price must retest either the fast (blue) or slow (red) band, confirmed by a rejection candle. This generates precise BUY or SELL retest signals.
Features include flexible average methods (RMA, EMA, SMA, etc.), customizable cross detection (final cross, 4 crosses, or both), volume-based retest conditions, and clear visual signals (dots for trend start, triangles for retests). Alerts are integrated for automation.
This strategy is suitable for forex, crypto, indices, and stocks, supporting both scalping and swing trading.
