HTF Swing Highs & LowsAn open-source multi-timeframe market structure indicator that automatically identifies and projects confirmed swing highs and swing lows from the Weekly, Daily, and 4-Hour timeframes onto any lower timeframe chart.
The indicator is designed to provide clean, non-repainting support and resistance levels based on confirmed market structure rather than developing pivots.
Features
- Weekly, Daily and 4H swing highs and lows
- Non-repainting confirmed pivots
- Automatic higher timeframe detection using request.security()
- Horizontal levels extended until invalidated
- Independent visibility controls for each timeframe
- Hierarchical timeframe filtering
- Custom colours and line widths for every timeframe
- Adjustable pivot strength
- Wick, Close or Never invalidation options
- Stop or Delete broken levels
- Automatic level management to prevent exceeding PulseWire object limits
How it works
The script uses confirmed pivot highs and lows from higher timeframes.
Unlike developing pivots, a swing is only confirmed after the selected number of candles has formed on both sides of the pivot. Once confirmed, a horizontal level is created at the swing price and extended to the right.
Because only confirmed pivots are used, historical levels do not repaint.
Pivot Strength
Pivot Strength controls how significant a swing must be before it becomes a level.
A strength of 3 means the pivot candle must have:
- three lower highs (or higher lows) before it
- three lower highs (or higher lows) after it
Higher values filter market noise and identify more significant market structure.
They also produce fewer levels and require longer confirmation.
Lower values detect smaller swings, produce more levels, react faster.
Level Invalidation
Choose how a level is treated once price trades through it.
Wick - Invalidates when price wicks beyond the level.
Close - Invalidates only after a candle closes beyond the level.
Never - Levels remain permanently.
Broken levels can either:
- Stop extending while remaining visible
- Be deleted completely
Hierarchical Visibility
The indicator can automatically display only relevant higher timeframe levels.
For example:
- Weekly levels appear on Weekly and all lower timeframes.
- Daily levels appear on Daily and all lower timeframes.
- 4H levels appear on 4H and lower charts.
This helps reduce clutter when analysing higher timeframe charts.
Notes
- Uses confirmed higher timeframe pivots only.
- Levels are anchored to the original swing candle.
- Designed for support and resistance, market structure, liquidity analysis, and confluence with other tools.
- Works on all symbols and asset classes supported by PulseWire. Indicator
Trade Execution Desk [JOAT]Trade Execution Desk is an open-source trade planning and session management tool designed for futures and structured discretionary traders who operate under daily loss limits, risk tier constraints, and session performance targets. It combines position sizing from account parameters, automatic pivot-based stop detection, three take-profit levels with risk-reward boxes, a 10-trade manual session log, and session status tracking into a single indicator.
The problem this addresses is the gap between an indicator that shows signals and a tool that translates those signals into an actual trade plan. Trade Execution Desk does not generate signals — it helps the trader structure the trade after a signal has been identified, ensuring that position size, stop placement, and profit targets are consistent with the account's defined risk parameters before the order is placed.
Core Concepts
1. Risk-Based Position Sizing
Position size is computed from the daily loss limit, maximum risk percentage, risk tier multiplier, and the calculated stop distance in ticks:
tierMult = tier == "FULL" ? 1.0 : tier == "HALF" ? 0.5 : 0.25
riskAmount = (dailyLossLimit * maxRiskPct / 100.0) * tierMult
contractsAllowed = math.floor(riskAmount / (stopDistTicks * tickValue))
This produces a contracts-allowed figure that respects the current risk tier and the actual stop distance on the current setup.
2. Three Risk Tiers
The FULL tier allows the full calculated position size. The HALF tier reduces it by 50%. The QUARTER tier reduces by 75%. Tier selection reflects the trader's confidence level or account drawdown state.
3. Auto Pivot Stop Detection
When auto stop is enabled, the indicator detects the most recent confirmed pivot high (for short trades) or pivot low (for long trades) and places the stop price at that level plus a configurable tick buffer. This anchors the stop to the nearest structural level automatically.
4. Trade Block Visualization
Entry, stop, and three TP levels are plotted as horizontal lines with right-edge labels. The risk zone (entry to stop) is shown as a translucent red box; the reward zone (entry to TP1) as translucent green. All objects extend rightward in real time.
5. Session Management
Four session-end conditions are tracked: daily target reached, maximum trade count reached, maximum loss count reached, and account rule violation. When any condition triggers, a session lockout overlay is displayed on the chart as a visual reminder that session trading is complete.
6. Manual Trade Log
Ten trade entries can be logged manually with tier type and result. Results are converted to the selected unit (points, ticks, dollars, or percent of account). Sequential processing chains each entry's outcome into running totals for session P&L, trade count, loss count, and violation flag. A promotion threshold tracks whether the session meets the criteria to advance to the next risk tier.
Features
Risk-based position sizing: Contracts calculated from loss limit, risk percent, tier multiplier, and actual stop distance
Three risk tiers: FULL / HALF / QUARTER with independent position size scaling
Auto pivot stop detection: Nearest confirmed pivot placed as stop with configurable tick buffer
Three TP levels with gradient boxes: TP1, TP2, TP3 as horizontal lines with translucent colored boxes
Session status tracking: Target, max trades, max losses, and violation triggers with visual lockout overlay
Ten-entry manual trade log: Each entry processed with tier, result, and unit conversion
Promotion threshold: Tracks whether session performance meets the criteria to advance risk tier
Unit conversion: All results displayable in Points, Ticks, Dollar, or Percent
Session lockout overlay: Full-chart colored overlay when session ends, with reason displayed
17-row institutional dashboard: Account params, tier state, stop/entry/TP levels, session status, trade log summary, promotion progress
Non-repainting: All pivot detections use confirmed pivot functions with symmetric lookback
Input Parameters
Risk Parameters:
Account Size ($), Daily Loss Limit ($), Max Risk % Per Trade
Tick Value ($), Ticks Per Point
Daily Target ($), Max Trades Per Session, Max Losses Per Session
Risk Tier and Carryover:
Current Risk Tier: FULL / HALF / QUARTER
Carryover Deficit ($), Quarter Violation Active toggle, Quarter Extra Deficit ($)
Trade Planning:
Trade Direction: Long / Short
Enable Auto-Pivot Stop toggle, Pivot Left/Right Bars, Stop Buffer (Ticks)
Manual Stop Price (0 = use auto)
RR Levels:
Show TP1, TP2, TP3 toggles with RR multiples and colors
Risk Zone and Reward Zone toggles
Result Unit: Points / Ticks / Dollar / Percent
Trade Log:
10 trade entries: Tier selector + Result value per entry
How to Use This Indicator
Step 1: Configure Account Parameters
Set your account size, daily loss limit, tick value, and ticks per point to match your trading instrument. Set the daily target and maximum trades/losses for your session rules.
Step 2: Select Risk Tier
Choose FULL, HALF, or QUARTER based on your current account standing or confidence level. The contracts-allowed figure in the dashboard updates automatically.
Step 3: Read the Entry/Stop/TP Levels
After identifying a trade direction, the auto-pivot stop places your stop at the nearest confirmed structural level. TP1, TP2, and TP3 are calculated automatically based on the stop distance and your configured RR multiples.
Step 4: Log Trades Manually
After each trade, enter the tier and result in the trade log section. The dashboard updates session P&L, win rate, and promotion progress in real time.
Step 5: Respect the Session Lockout
When the session lockout overlay appears, the reason is displayed prominently on the chart. The lockout is a visual reminder only — it does not interact with your broker.
Indicator Limitations
Position sizing uses tick value and ticks-per-point inputs specific to the traded instrument. These must be configured correctly for the output to be meaningful
The session lockout overlay is a visual reminder only. It does not block order placement
The manual trade log requires manual input after each trade. It does not auto-detect executions
Promotion threshold calculation uses simple arithmetic from input values and may not account for all possible rule variations across different prop firm structures
This indicator is a planning and logging tool. It does not generate entry or exit signals
Originality Statement
The combination of risk-tier-aware position sizing, session-end condition tracking with visual chart lockout, a 10-entry chained trade log with unit conversion, and a promotion threshold tracker in a single open-source overlay indicator is not replicated in existing Pine Script v6 publications
The sequential chaining of manual trade log entries through a processing function that propagates trade count, loss count, running P&L, and violation flag forward through ten entries provides structured session accounting within a chart indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Position sizing outputs are mathematical calculations based on user-provided inputs and do not account for all real-world trade execution factors. Always verify position sizes and risk parameters independently before placing orders. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Indicator
IrishGOD PDH/PDL Zones + Pre-Market H/L + MA RibbonPDH/PDL Zones + Pre-Market H/L + MA Ribbon
A comprehensive overlay indicator for PulseWire (Pine Script v5) that combines three institutional-grade tools on a single chart: historical previous-day high/low zones drawn from full candle wicks, intraday pre-market extremes, and a fully configurable multi-timeframe moving average ribbon. Designed for intraday traders who need clean, actionable levels without switching between charts or timeframes.
Pine Script v5
Overlay
Intraday
Multi-Timeframe
Alerts Included
1
Previous Day High / Low Zones
Automatically identifies the highest and lowest candle of each prior session and draws a shaded zone that spans the full wick of that candle — from the wick tip (the session extreme) down to the candle body edge (max or min of open/close). This provides a realistically sized supply or demand zone rather than a single horizontal line, accurately representing the price range where the reversal originated. Zones are stored across up to 50 prior trading days and drawn efficiently on the last bar to avoid unnecessary repainting.
Lookback
Up to 50 previous days retained and displayed simultaneously
Zone geometry
Wick tip → candle body edge; minimum 4-tick thickness for doji candles
Extension
Most recent zone optionally extends to the right edge of the chart
Labels
PDH / PDL price labels on the latest zone; four size options
Color picker
Border width 0–4px
Adjustable opacity
Toggle on/off
2
Pre-Market High / Low
Tracks the highest high and lowest low recorded during the configurable pre-market window (default 4:00–9:30 AM Eastern Time) and draws horizontal lines at those levels the moment the regular session opens. These levels are widely watched by professional traders as the first potential support and resistance areas of the day, and are particularly relevant on gap-up or gap-down open days. All time calculations are anchored to America/New_York to handle daylight saving time correctly.
Session window
Fully configurable start hour, end hour, and end minute (24h ET)
Line style
Solid, dashed, or dotted; line width 1–4px
Extension
Lines optionally extend rightward through the rest of the session
Labels
"PM High" / "PM Low" labels with exact price values
Requires a PulseWire subscription that includes extended-hours data. Levels reset each new trading day.
3
Multi-Timeframe MA Ribbon
A ribbon of up to 8 independent moving averages rendered directly on the price chart. Each MA is fully self-contained: it has its own toggle, length, color, and — critically — its own timeframe selector. This allows a single ribbon to simultaneously display a short-term trend on the current chart timeframe alongside higher-timeframe MAs (e.g. a daily 21 EMA or a weekly 50 SMA) without opening additional chart panes. When an alternate timeframe is active, the value label automatically appends a tag for instant visual identification.
MA types available
SMA
EMA
WMA
VWMA
HMA
DEMA
TEMA
RMA
LSMA
Ribbon count
8 MAs; MAs 1–5 enabled by default (lengths 8, 13, 21, 34, 55)
Per-MA timeframe
Each MA resolves on its own timeframe via request.security(); blank = current chart
Fill
Gradient color fill between consecutive MA lines; adjustable opacity
Value labels
Live price labels pinned to the right edge; show tag for HTF MAs
Source
Configurable price source: close, open, high, low, hl2, hlc3, ohlc4, etc.
Line width
Global line width control (1–4px) applied to all active MAs
lookahead=barmerge.lookahead_off is enforced on all request.security() calls to prevent higher-timeframe data leakage into historical bars.
4
Alerts
Five built-in alert conditions, configurable from PulseWire's alert dialog:
Price enters the most recent PDH zone (within 0.1%)
Price enters the most recent PDL zone (within 0.1%)
Price enters either PDH or PDL zone
MA1 crosses above MA2 — bullish signal
MA1 crosses below MA2 — bearish signal
5
Technical notes
Compatibility
Intraday charts (1m – 4h). Requires extended-hours data for pre-market feature.
Object limits
max_boxes_count 500 · max_lines_count 500 · max_labels_count 200
Rendering
PDH/PDL boxes drawn only on barstate.islast to eliminate per-tick redraw overhead
DST handling
All session time logic uses America/New_York timezone natively Indicator
Sessions Suite [claysul]Sessions Suite plots market sessions, previous day/week/month levels, daily/weekly/monthly open prices, customizable open prices, day of the week separator, and 90m cycles. Every feature can be toggled independently, with full customization over session times, labels, lines, and colors. All session times use the America/New_York timezone and automatically adjust for daylight savings time.
Sessions:
- Shaded session boxes are drawn for up to 5 fully customizable sessions. Defaults include Asia (6:00–12:00 AM EST), London (12:00–6:00 AM), NY AM (6:00 AM–12:00 PM), NY PM (12:00–6:00 PM), and NY Lunch (off by default). Each session's name, time range, and color are editable.
- Toggle session boxes on/off independently from lines and labels, allowing you to show only the high/low lines without the shaded boxes.
- Toggle session borders on/off.
- Optional max days limit to control how many days of session boxes are displayed.
Session boxes toggled off, with high and low set to max 1 day:
Mitigation:
Session high/low lines extend forward until price mitigates/touches the level, or until end of day.
- Option to extend unmitigated lines to the current bar, instead of stopping at EOD.
- Option to remove mitigated lines entirely. When enabled, lines and their labels are deleted from the chart once price reaches the level.
Session lines default to EOD:
Unmitigated session lines extended to current bar:
Mitigated lines removed (Extend Unmitigated Lines to Current Bar must be enabled):
Session Lines:
Horizontal lines drawn at each session's high and low. Customizable width, style (solid/dashed/dotted), and optional unified line color override if the user wants all lines to be one color. Optional max days limit to control how many days of lines and labels are displayed.
Session Labels:
Session labels mark the high and low of each session by default. There are 2 mode alignments: "Right of Line," where labels are placed on the right of high/low lines, or "Centered (Box)," where they are centered to the session box. Label placement can be set to "Above Line" (both labels above) or "Above / Below Line" (high labels above, low labels below). The user can choose to display high and low labels, high only, or low only. Label size is adjustable, and an optional unified color override if the user wants all labels to be one color.
Labels to right of line:
Labels centered to session box:
Labels centered, high only placement:
Session lines, no labels, no borders:
Label placement set to above/below line:
Previous Day, Week, and Month Levels:
- PDH / PDL- Previous Day High and Low, drawn from the bar where the high/low occurred.
- PD EQ- Previous Day Equilibrium (midpoint of PDH and PDL).
- PWH / PWL- Previous Week High and Low.
- PMH / PML- Previous Month High and Low.
Each level can be turned on/off, and the option to change color and line style. All levels extend to the right with labels.
Opening Prices:
Horizontal lines are drawn at key opening prices:
- Daily Open- resets each new trading day.
- Weekly Open- resets each new week.
- Monthly Open- resets each new month.
- 3 Custom Opens- fully configurable by hour and minute (EST). Defaults: 09:30 (market open), 00:00 (midnight), and 16:00 (RTH market close). Each have options to customize color, style, and turn on/off.
Day of Week Separator:
Optional vertical separator lines at the start of each trading day with day-of-week labels (MON, TUE, WED, THU, FRI). Configurable label color, separator color, position (top/bottom), and number of days to display.
90 Minute Cycles:
Shaded blocks that divides each of the four main sessions into 90 minute quarters based on Quarterly Theory:
- Asia Q1–Q4 (Q1: 6:00 - 7:30 PM EST, Q2: 7:30 - 9:00 PM, Q3: 9:00 - 10:30 PM, Q4: 10:30 PM - 12:00 AM
- London Q1–Q4 (Q1: 12:00 - 1:30 AM EST, Q2: 1:30 - 3:00 AM, Q3: 3:00 - 4:30 AM, Q4: 4:30 - 6:00 AM)
- NY AM Q1–Q4 (Q1: 6:00 - 7:30 AM EST, Q2: 7:30 - 9:00 AM, Q3: 9:00 - 10:30 AM, Q4: 10:30 AM - 12:00 PM)
- NY PM Q1–Q4 (Q1: 12:00 - 1:30 PM EST, Q2: 1:30 - 3:00 PM, Q3: 3:00 - 4:30 PM, Q4: 4:30 - 6:00 PM)
Toggle all quarters on/off with a single checkbox. Each quarter's name, time range, and box color are individually customizable. Options to change label size and toggle on/off cycle borders, labels, and unified label color override. Optional max days limit to control how many days of cycles are displayed.
Timeframe Awareness:
The indicator automatically adapts to higher timeframes:
- Intraday- shows everything: sessions, session lines, session labels, 90 minute cycles, PDH/PDL/PD EQ, PWH/PWL, PMH/PML, all opening prices, day of week separators, and custom opens.
- Daily- shows PDH/PDL/PD EQ, PWH/PWL, PMH/PML, and Daily/Weekly/Monthly opens.
- Weekly- shows Weekly and Monthly opens only.
- Monthly- shows Monthly open only. Indicator
Structural Flow Decoder [JOAT]Structural Flow Decoder
Introduction
The Structural Flow Decoder is an advanced open-source market structure analysis indicator that combines Break of Structure (BOS) detection, Change of Character (CHoCH) identification, nested pattern recognition, and multi-timeframe confluence into a unified structural analysis system. This indicator helps traders identify trend direction, structural shifts, and momentum changes by analyzing how price breaks through swing highs and lows across multiple timeframes.
Unlike basic trend indicators that use moving averages, this system analyzes actual market structure - the sequence of higher highs, higher lows, lower highs, and lower lows that define trends. Break of Structure signals trend continuation, Change of Character signals potential reversals, nested patterns reveal internal structure, and multi-timeframe alignment confirms institutional conviction. The indicator is designed for traders who understand that market structure precedes price and that structural breaks reveal directional intent.
Why This Indicator Exists
This indicator addresses a critical need in technical analysis: the ability to identify trend changes before they're obvious. Market structure analysis reveals when institutions are shifting positioning. By combining multiple structural methodologies, this indicator reveals:
Break of Structure (BOS): Price breaks swing high/low in trend direction - confirms continuation and momentum
Change of Character (CHoCH): Price breaks swing high/low against trend - signals potential reversal or consolidation
Nested Structure: Internal patterns within larger structure - reveals micro-trends and entry timing
Multi-Timeframe Confluence: Higher timeframe structure alignment - confirms institutional participation
Momentum Shifts: RSI and MACD crossovers at structure breaks - adds confirmation layer
Trend Strength Analysis: Quantifies structural conviction - distinguishes strong from weak trends
Each component provides a different lens on market structure. BOS shows continuation, CHoCH shows reversals, nested structure shows timing, MTF alignment shows conviction, and momentum shows acceleration. Together, they create a comprehensive view of structural flow.
Core Components Explained
1. Break of Structure (BOS) Detection
Break of Structure occurs when price breaks a swing high in an uptrend or swing low in a downtrend. It confirms trend continuation:
// Bullish BOS: Price breaks above previous swing high
if pivotHigh > lastSwingHigh and bullishStructure:
line.new(lastSwingHighBar, lastSwingHigh, bar_index, pivotHigh,
color=COLOR_BULL_STRUCTURE, width=3, style=line.style_solid)
label.new(bar_index, pivotHigh, "BOS ↑")
The indicator identifies BOS using swing detection:
Detects swing highs and lows using pivot lookback (default 5 periods)
Compares current swing to previous swing in same direction
Draws solid lines connecting swings when BOS occurs
Labels breaks with "BOS ↑" or "BOS ↓" for clarity
BOS signals that the trend is intact and institutions are pushing price in the established direction. Multiple consecutive BOS indicate strong trending conditions.
2. Change of Character (CHoCH) Detection
Change of Character occurs when price breaks a swing high in a downtrend or swing low in an uptrend. It signals potential trend reversal:
// Bullish CHoCH: Price breaks above swing high while in downtrend
if pivotHigh > lastSwingHigh and not bullishStructure:
line.new(lastSwingHighBar, lastSwingHigh, bar_index, pivotHigh,
color=COLOR_CHOCH_BULL, width=3, style=line.style_dashed)
label.new(bar_index, pivotHigh, "CHoCH ↑")
bullishStructure := true
CHoCH is more significant than BOS because it represents structural shift:
Breaks counter-trend swing points
Signals potential trend reversal or major consolidation
Drawn with dashed lines to distinguish from BOS
Flips internal trend state when detected
CHoCH doesn't guarantee reversal, but it warns that the previous trend is weakening. Confirmation from other factors (volume, momentum, higher timeframe) increases reliability.
3. Nested Structure Analysis
Nested structure reveals internal patterns within the larger trend. It uses shorter lookback periods to detect micro-structure:
The indicator tracks internal swings using a separate period (default 3 bars vs 5 for main structure). This reveals:
Internal BOS within larger trends - shows momentum acceleration
Internal CHoCH before main CHoCH - early warning of reversals
Pullback structure in trends - identifies entry opportunities
Consolidation patterns - shows when to wait
Nested structure is drawn with thinner dashed lines to distinguish from main structure. It provides entry timing within the larger trend context.
4. Multi-Timeframe Confluence
The indicator requests structure data from a higher timeframe (default 60-minute) and compares it to current timeframe:
= request.security(syminfo.tickerid, "60",
)
Multi-timeframe analysis reveals:
Whether current timeframe structure aligns with higher timeframe
Institutional conviction (HTF structure = larger positions)
Confluence zones where both timeframes show same direction
Divergence warnings when timeframes conflict
The dashboard displays HTF alignment status (Bullish/Bearish) and confluence state (Synced/Divergent). Trading in direction of HTF structure with current timeframe confirmation produces highest win rates.
5. Momentum Shift Detection
The indicator integrates RSI and MACD to detect momentum shifts at structural breaks:
rsi = ta.rsi(close, 14)
= ta.macd(close, 12, 26, 9)
momentum_bull = ta.crossover(rsi, 50) and macdHist > 0
momentum_bear = ta.crossunder(rsi, 50) and macdHist < 0
Momentum shifts are marked with "M+" (bullish) or "M-" (bearish) labels. When momentum shifts align with structural breaks, it confirms the move. Momentum divergence from structure warns of potential failures.
6. Trend Strength Classification
The indicator quantifies trend strength based on consecutive structural breaks:
Explosive: 3+ consecutive BOS in same direction
Active: 1-2 consecutive BOS
Weak: No recent BOS or mixed signals
Strength classification appears in the dashboard and influences background gradient intensity. Strong trends show vibrant colors, weak trends show muted colors.
Visual Elements
BOS Lines: Solid thick lines (cyan for bullish, magenta for bearish)
CHoCH Lines: Dashed thick lines (cyan for bullish, magenta for bearish)
Internal Structure: Thin dashed lines showing nested patterns
Swing Point Labels: "H" and "L" markers at pivot highs/lows
Momentum Labels: "M+" and "M-" at momentum shifts
Gradient Background: Color intensity based on trend strength
Gradient Candles: Strong moves in bright colors, weak moves in muted colors
Dashboard: Real-time structure state and confluence metrics
The dashboard displays 8 key metrics:
1. Structure Flow (Bullish/Bearish)
2. Flow Strength (Explosive/Active/Weak)
3. HTF Alignment (Bullish/Bearish/Off)
4. Confluence (Synced/Divergent)
5. Momentum (Strong/Neutral/Weak)
6. MACD Signal (Bullish/Bearish)
7. Last Pivot price level
Input Parameters
Structure Analysis:
Detection Period: Swing lookback for main structure (default: 5)
Break of Structure: Enable/disable BOS detection
Change of Character: Enable/disable CHoCH detection
Nested Patterns: Enable/disable internal structure
Nested Period: Swing lookback for internal structure (default: 3)
Momentum Shifts: Enable/disable RSI/MACD labels
Higher Timeframe:
Multi-Timeframe Sync: Enable/disable HTF analysis
HTF Period: Higher timeframe to analyze (default: 60 minutes)
Confluence Filter: Require HTF alignment for signals
Visualization:
Directional Zones: Show gradient backgrounds
Pivot Markers: Show H/L labels at swings
Strength Histogram: Show trend strength bars
How to Use This Indicator
Step 1: Identify Current Structure
Check the dashboard for Structure Flow. Bullish structure = look for longs, Bearish structure = look for shorts. This is your directional bias.
Step 2: Wait for Structural Confirmation
In bullish structure, wait for BOS (break above swing high) to confirm continuation. In bearish structure, wait for BOS (break below swing low). Don't trade against structure.
Step 3: Watch for Change of Character
CHoCH signals potential reversal. When CHoCH occurs, structure flips. Wait for confirmation BOS in new direction before entering. Don't trade immediately on CHoCH.
Step 4: Use Nested Structure for Timing
Internal structure shows pullback completion. Enter when internal BOS occurs in direction of main structure. This provides precise entry timing.
Step 5: Confirm with Higher Timeframe
Check HTF Alignment in dashboard. "Synced" = both timeframes agree (best setups). "Divergent" = conflict (avoid or reduce size).
Step 6: Add Momentum Confirmation
Look for M+ labels in bullish structure or M- labels in bearish structure. Momentum + Structure = highest probability setups.
Best Practices
Trade in direction of structure - don't fight it
BOS confirms trend, CHoCH warns of change - respect both
Multiple BOS in same direction = strong trend, ride it
CHoCH requires confirmation - don't reverse immediately
Nested structure provides entries within larger trend
HTF alignment is critical - always check confluence
Momentum divergence from structure = warning sign
Explosive strength = trending conditions, use breakout strategies
Weak strength = ranging conditions, use mean reversion
Structure works on all timeframes - scale appropriately
Indicator Limitations
Structure analysis works best on trending markets with clear swings
Choppy, sideways markets produce frequent false CHoCH signals
Swing detection requires sufficient volatility - low volatility reduces reliability
CHoCH doesn't guarantee reversal - it signals potential change
Multiple CHoCH in short period indicates consolidation, not trend
HTF data may repaint on lower timeframes - use confirmed bars
Nested structure can be noisy in ranging markets
The indicator shows structure state, not future direction
Momentum shifts can occur without structural confirmation
Technical Implementation
Built with Pine Script v6 using:
Pivot-based swing detection with configurable lookback
State machine tracking for bullish/bearish structure
Nested structure analysis with separate period
Multi-timeframe security requests with proper gap handling
RSI and MACD momentum calculations
Trend strength quantification system
Dynamic gradient backgrounds based on strength
Real-time dashboard with 8 structural metrics
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its comprehensive structural integration approach. While individual components (BOS, CHoCH, swing detection) are established concepts, this indicator is justified because:
It synthesizes BOS and CHoCH detection with nested pattern analysis in a unified system
The multi-timeframe confluence detection provides institutional conviction measurement
Momentum shift integration (RSI + MACD) adds confirmation layer to structural breaks
Trend strength quantification distinguishes explosive from weak structural flows
Nested structure analysis reveals micro-patterns within macro-trends for entry timing
The gradient visualization system shows structural conviction through color intensity
Real-time dashboard presents 8 metrics simultaneously for holistic structural analysis
Each component contributes unique information: BOS shows continuation, CHoCH shows reversals, nested structure shows timing, HTF shows conviction, momentum shows acceleration, and strength shows quality. The indicator's value lies in presenting these complementary perspectives simultaneously with unified classification and visual hierarchy.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Market structure analysis is a tool for understanding price behavior, not a crystal ball for predicting future movement. BOS does not guarantee continuation. CHoCH does not guarantee reversal. Past structural patterns do not guarantee future structural patterns. Market conditions change, and strategies that worked historically may not work in the future.
The structural states displayed are analytical constructs based on current market data, not predictions of future price movement. Structure alignment does not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Session Confluence Tracker [JOAT]Session Confluence Tracker
Introduction
The Session Confluence Tracker is an open-source overlay indicator that monitors the Asian, London, and New York trading sessions simultaneously, tracking each session's high and low, counting consecutive bullish or bearish sessions (streaks), detecting overstretch conditions, and identifying confluence zones where multiple sessions share overlapping price levels. It gives traders a structured view of how liquidity develops across the global trading day and where institutional interest is concentrating.
Built with Pine Script v6, the indicator uses custom types for session data, streak tracking, confluence zones, session momentum, session gaps, and session pivots.
Why This Indicator Exists
Session-based analysis is a cornerstone of institutional trading. Different sessions have distinct characteristics — the Asian session often establishes a range, London tends to break that range, and New York frequently continues or reverses the London move. However, most session indicators simply draw boxes around session times. This indicator goes further by:
Streak analysis: Counts how many consecutive sessions have been bullish or bearish, revealing directional persistence that simple session boxes cannot show
Overstretch detection: Compares the current session's range to its historical average. When a session extends significantly beyond its norm (configurable ratio, default 1.5x), it flags a potential exhaustion point
Confluence detection: Identifies price levels where two or more sessions share overlapping highs or lows within a configurable tolerance, highlighting zones of multi-session institutional agreement
Session momentum: Tracks the directional strength within each session, not just whether it closed up or down
Gap detection: Monitors gaps between session closes and opens, which often act as magnets for price
Core Components Explained
1. Multi-Session Tracking
The indicator tracks three configurable sessions with default times aligned to major global markets:
Asian Session: Default 1800-0300 (EST) — typically the lowest volatility, range-setting session
London Session: Default 0300-1130 (EST) — the highest volume session, often sets the daily direction
New York Session: Default 0800-1600 (EST) — overlaps with London for the most liquid period of the day
Each session is tracked independently with its own high, low, open, close, and volume data. Session boundaries are drawn as colored boxes on the chart, and session highs/lows extend as horizontal lines until the next session begins.
2. Streak Analysis
The streak engine counts consecutive bullish (close > open) or bearish (close < open) sessions for each market. This reveals directional persistence that is invisible on a standard chart:
if sessionClose > sessionOpen
streakData.bullCount += 1
streakData.bearCount := 0
else
streakData.bearCount += 1
streakData.bullCount := 0
When a streak reaches the minimum threshold (default 3 consecutive sessions), it is highlighted on the chart. Long streaks in a single direction often precede reversals, while the start of a new streak can confirm a trend change.
3. Overstretch Detection
Overstretch occurs when a session's range significantly exceeds its historical average. The indicator calculates the average session range over a lookback period and compares the current session's range against it:
Overstretch ratio >= 1.5x: The session has extended well beyond its norm — potential exhaustion
Overstretch ratio >= 2.0x: Extreme extension — high probability of mean reversion
Overstretch signals are plotted as markers above or below the session, giving traders a visual warning that the session may be running out of steam.
Chart showing three session boxes (Asian in purple, London in blue, New York in green) with streak counts displayed, overstretch markers on an extended London session, and confluence zones where session levels overlap
4. Confluence Zone Detection
When the high or low of one session falls within a configurable ATR-based tolerance of another session's high or low, the indicator identifies a confluence zone. These zones represent price levels where multiple sessions have found significant support or resistance:
tolerance = atrVal * confluenceTolerance
if math.abs(session1High - session2High) < tolerance
confluenceStrength += 1
Confluence zones are drawn as highlighted horizontal bands on the chart. The strength of the confluence (how many sessions agree) determines the visual intensity. A zone where all three sessions share a similar level is considered the strongest form of multi-session agreement.
5. Session Momentum and Gaps
Session momentum measures the directional conviction within each session using the relationship between the close and the session's range. A session that closes near its high has strong bullish momentum; one that closes near its low has strong bearish momentum.
Session gaps — the difference between one session's close and the next session's open — are tracked and visualized. These gaps often act as magnets, with price tending to fill them during the subsequent session.
Visual Elements
Session Boxes: Colored boxes marking each session's time range and price range
Session High/Low Lines: Horizontal lines extending from each session's extremes
Streak Labels: Counts displayed at session boundaries showing consecutive bullish/bearish sessions
Overstretch Markers: Warning signals when a session extends beyond its historical norm
Confluence Zones: Highlighted bands where multiple sessions share price levels
Session Gaps: Visual markers showing gaps between session close and next session open
Background Coloring: Subtle session-based background tinting
Dashboard: Real-time display of each session's status, streak counts, overstretch ratios, and confluence strength
Input Parameters
Session Settings:
Toggle each session (Asian, London, New York) independently
Custom session times for each market
Custom colors for each session
Streak Detection:
Min Streak Count (default 3): Minimum consecutive sessions to highlight
Overstretch Ratio (default 1.5): Threshold for overstretch detection
Confluence Detection:
Confluence Tolerance (ATR-based, default 0.5): How close session levels must be to count as confluent
Min Confluence Strength (default 2): Minimum number of agreeing sessions
Advanced Features:
Show Session Momentum, Volume Profile, Gaps, Pivots
Visual Settings:
Max Days Back (default 5): Limit historical session display for performance
Show Session Boxes, Dashboard, Glow Effects, Pulse Effects, Gradient Fill, Confluence Animation
Timezone selection
How to Use This Indicator
Step 1: At the start of your trading day, review the Asian session range. This range often defines the battlefield for London and New York. Note the Asian high and low as key levels.
Step 2: As London opens, watch for a break of the Asian range. A decisive break with volume often sets the daily direction. Check the streak count — if London has been bullish for 4+ consecutive sessions, be cautious of a reversal.
Step 3: Monitor overstretch conditions. If London extends 1.5x or more beyond its average range, the move may be exhausted. This is especially relevant if the overstretch occurs at a confluence zone.
Step 4: Look for confluence zones. A price level where the Asian high aligns with a previous London low is a zone of multi-session institutional interest. These levels often produce strong reactions.
Step 5: During New York, check for session gaps from the London close. Price frequently fills these gaps early in the New York session.
Step 6: Use the dashboard for a quick overview of all sessions, streaks, and confluence strength.
Dashboard view showing Asian, London, and New York session statistics including streak counts, overstretch ratios, momentum readings, and confluence strength score
Indicator Limitations
Session times are based on exchange time or a configurable timezone. Ensure your timezone setting matches your intended market hours.
Streak analysis requires sufficient historical data. On newly listed instruments or very high timeframes, streak counts may be limited.
Overstretch detection uses historical averages, which can be skewed by outlier sessions (e.g., major news events).
Confluence zones are based on proximity of session levels, not on the reason those levels formed. Not all confluences will produce reactions.
The indicator is most useful on intraday timeframes (1m to 1H) where session boundaries are meaningful. On daily or weekly charts, session tracking is less relevant.
Session overlap periods (London/New York) can produce complex price action that is harder to attribute to a single session.
Originality Statement
This indicator is original in its multi-session analytical framework. While session boxes and session high/low indicators exist, this indicator is justified because:
Streak analysis across multiple sessions provides a directional persistence metric not available in standard session tools
Overstretch detection compares current session range to historical norms, adding a statistical dimension to session analysis
Multi-session confluence detection identifies price levels where institutional interest from different global markets converges
Session momentum tracking quantifies the directional conviction within each session, going beyond simple bullish/bearish classification
Gap tracking between sessions highlights potential price magnets that standard session indicators ignore
The unified dashboard presents all three sessions' metrics simultaneously for rapid cross-session analysis
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Session analysis is a framework for understanding market structure across time zones, not a guarantee of future price movement. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator.
-Made with passion by officialjackofalltrades
Indicator
HIGHS & LOWS RusosTITLE: HIGHS & LOWS Rusos - Multi-Timeframe Liquidity Engine
DESCRIPTION:
HIGHS & LOWS Rusos is a professional-grade structural liquidity tool designed to identify key Highs and Lows across multiple timeframes with a smart filtering engine. This script focuses on high-probability liquidity zones while maintaining a clean and organized chart.
Key Features:
Hierarchical Priority: The script uses a "Waterfall" logic. Monthly levels take priority over Weekly, Weekly over Daily, and so on. If levels from different timeframes overlap (within a tick margin), only the higher-order level is displayed to avoid clutter.
Multi-Timeframe Tracking: Automatically plots Monthly (HM/LM), Weekly (HS/LS), Daily (HD/LD), and 4-Hour (H4h/L4h) structural points.
Precision Anchoring: Lines are drawn from the exact start of their respective cycles (Month, Week, Day), providing accurate historical context.
Dynamic Mitigation: When price touches a level, the line is cut and marked with an "×". You can fully customize the opacity of these mitigated levels in the settings to keep your focus on active liquidity.
Optimized Performance: Built-in memory management limits the number of active and historical lines to ensure smooth performance.
Technical Hierarchy:
Monthly > Weekly > Daily > 4 Hours Lower timeframe levels are automatically hidden when viewing higher timeframe charts to prevent visual artifacts.
Indicator
Indicator
Indicator
ATR ZigZag - Volatility-Filtered Market StructureDescription
This indicator draws ZigZags using an ATR based threshold for direction switching to identify major swing highs and lows. Instead of relying on fractals or fixed bar-count swings, pivots are confirmed only when price moves beyond the prior extreme by:
threshold = ATR(length) × ATR_mult
This filters noise, enforces valid swing structure (high → low → high), and adapts automatically to volatility. The ATR ZigZag is ideal for traders who want a clean, objective view of swing structure without noise. This has many uses, including mapping swing structure, drawing chart patterns, and trading around extremes.
Lag and Repainting
Pivots are confirmed only after price moves sufficiently in the opposite direction. This creates necessary lag. The ZigZag is drawn when this occurs, and will anchor to the high/low in the past. Optional detection dot plots show exactly when confirmation occurred.
What You See
ZigZag: dashed gray line, repainted to anchor at the confirmed highs and lows
Latest Pivot Levels: Dashed horizontal lines at the most recent confirmed high/low.
Optional Live Swing Leg: A real-time line from the last confirmed pivot to the current swing extreme, updating until a new pivot forms.
Optional ATR Boxes: 1×ATR shaded zones around the latest pivot for structural context.
Optional Pivot Confirmation Dots: Markers show the bar where the threshold is crossed and a swing is officially confirmed. This is to understand the lag and see when the ZigZag repainted.
Indicator
Library
Swing High-Low Line ConnectorSwing High-Low Line Connector is a simple and intuitive tool that automatically detects swing highs and swing lows using fractal-style pivot logic and connects them with clean, continuous lines. This indicator helps traders visualize market structure, trend shifts, and swing-based support/resistance levels at a glance.
The script identifies each confirmed swing point based on a user-defined lookback window (left/right bars). When a new swing is confirmed, the indicator updates the previous leg or creates a new one, effectively drawing the classic “zigzag-style” connections used in discretionary trading and price-action analysis.
A dynamic tail extension is included to show the most recent swing extending toward the current price. By default, the tail follows a ZigZag-style logic—extending upward after a swing low and downward after a swing high—but users can also anchor it to Close, High, Low, or HL2.
Features
Automatic detection of swing highs and swing lows
Clean line connections between swings (similar to discretionary market-structure mapping)
Proper consolidation handling: weaker highs/lows are ignored
Optional ZigZag-style dynamic tail extension
Fully customizable lookback window, line color, and line width
Works on any market and timeframe
Use Cases
Identifying market structure (HH, HL, LH, LL)
Visualizing trend transitions
Spotting breakout levels and swing-based support/resistance
Aiding discretionary swing trading, trend following, or pattern recognition
This indicator keeps the logic simple and visual—ideal for traders who prefer clean chart structure without unnecessary noise. Indicator
Pivot Points. High & Lows By Reversal PercentageLibrary "Pivot Points. High & Lows By Reversal Percentage" by Jal9000
This Pine Script library provides a robust function for identifying and tracking pivot points (reversal points) in price data, suitable for integration into custom trading indicators and strategies.
🛠️ Main Features:
- ✅ Identifies pivot highs and lows based on configurable price movement thresholds.
- ✅ Lightweight. No candle backtracing used. Much less computation heavy.
- ✅ Supports multiple calls (with different values) within a single script.
- ✅ Compatible with request.security for multi-timeframe analysis.
- ✅ Returns both confirmed and temporary pivots for flexible integration.
- ✅ Pinescript V5 and V6 compliant code.
Purpose:
The pivots library enables Pine Script developers to easily add pivot point detection to their scripts. It identifies significant price reversals by evaluating price movements against a minimum range threshold ( min_range_pct ) and confirming reversals based on a percentage ( reversal_pct ) of the prior trend’s magnitude. The library supports multiple simultaneous calls with different settings, making it ideal for multi-timeframe strategies.
How It Works:
The library’s f_calculatePivot function tracks price movements to detect pivot points:
Minimum Range Threshold : A potential pivot is considered if the price moves beyond the min_range_pct percentage of the current high (for a high pivot) or low (for a low pivot), ensuring sufficient movement.
Reversal Confirmation : A pivot is confirmed if the price reverses from the potential pivot by at least the reversal_pct percentage of the distance between the last confirmed pivot and the current potential pivot, measuring the retracement relative to the prior trend’s magnitude.
The function alternates between tracking highs (in an uptrend) and lows (in a downtrend), updating the trend when a pivot is confirmed.
State management uses an array of pivot_state objects, allowing independent calculations for different timeframes and min_range_pct values within the same script.
## Technical Reference
Functions:
f_calculatePivot(series float _high, series float _low, float _min_range_pct, float _reversal_pct) →
- Parameters:
_high : The high price series (e.g., high or math.max(open, close) ).
_low : The low price series (e.g., low or math.min(open, close) ).
_min_range_pct : The minimum percentage price movement to consider a potential pivot.
_reversal_pct : The percentage of the prior trend’s distance required to confirm a pivot.
- Returns:
A tuple containing:
isNewPivot : Boolean indicating if a new pivot was confirmed.
last_confirmed_pivot : The most recent confirmed pivot (type pivot ).
temp_pivot : The current temporary pivot (type pivot ).
Pivot type:
idx (series int) : Bar index of the pivot.
typ (series int) : Type of pivot ( PIVOT_HIGH or PIVOT_LOW ).
prc (series float) : Price of the pivot.
tme (series int) : Timestamp of the pivot.
Constants (internal):
TREND_LONG , TREND_SHORT : Trend direction indicators (1, -1).
PIVOT_HIGH , PIVOT_LOW : Pivot type indicators (1, -1).
✨ Example of Use:
//@version=5
indicator("Pivot Example", overlay=true)
import jal9000/pivots/1 as pivots
// Inputs
min_range_pct = input.float(20.0, 'Min Range %')
reversal_pct = input.float(30.0, 'Reversal %')
ignore_wick = input.bool(true, 'Ignore wick')
h = ignore_wick ? math.max(open, close) : high
l = ignore_wick ? math.min(open, close) : low
// Call the function with high, low, and input parameters
= pivots.f_calculatePivot(h, l, min_range_pct, reversal_pct)
// Variable to store previous confirmed pivot outside the function
var pivots.pivot prev_confirmed_pivot = na
// Draw the line if a new pivot is confirmed and previous pivot exists
if is_new_pivot
if not na(prev_confirmed_pivot) and not na(new_confirmed_pivot)
line.new(x1 = prev_confirmed_pivot.idx, y1 = prev_confirmed_pivot.prc, x2 = new_confirmed_pivot.idx, y2 = new_confirmed_pivot.prc, color = color.blue, width = 1)
prev_confirmed_pivot := new_confirmed_pivot
## Release Notes
v1
- Initial release of the pivots library with f_calculatePivot function for detecting pivot points and supporting multiple configurations and timeframes.
v2
- Code is Pinescript V6 ready. Remains identified as V5, but changing the version number is the only thing that is required to be v6. Library
Indicator
Indicator
Essa - Yearly High, Low & MidYearly High, Low & Midpoint Indicator
This PulseWire indicator helps traders track key yearly price levels by plotting the high, low, and midpoint values for each year within a user-specified range.
Features & Functionality:
Automatic Yearly Calculation: Determines the highest and lowest price for each year and computes the midpoint as their average.
Clear & Customisable Visuals:
The Yearly High is plotted as a solid green line.
The Yearly Low appears as a solid red line.
The Midpoint is displayed as a blue dashed line for easy distinction
Detailed Labels:
Each level is labeled at the far right of the chart, showing the year, level type (High, Low, or Mid), and price (e.g., 2016 High - 1.20000).
Labels are right-aligned in white, ensuring clear visibility against any background.
This indicator is perfect for traders who rely on long-term technical analysis, providing a quick and structured way to visualise significant yearly price levels. Indicator
Indicator
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions.
This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones.
Key Features:
✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints
✅ Customizable Timeframes (default: Weekly, but adjustable)
✅ Visibility Filtering – Hides lines that are too far from the current price
✅ Alerts for Key Levels – Get notified when price touches an important historical level
✅ Customizable Colors & Display Preferences for clarity
How It Works:
1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions
2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy.
3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see.
4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter.
5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups.
Ideal for Traders Who:
Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows.
Analyze Market Structure – Identify key areas where price may reverse or break out.
Want Smart Alerts – Stay informed without staring at charts all day.
Indicator
3 Day Lookback [TFO]This 3 Day Lookback indicator aims to display key information about price with respect to its previous 3 day highs and lows. It was built with the intention of being compact in order to not take up a lot of chart space.
The core component of this indicator is the table. From this table, we look at price with respect to the ranges from 1, 2, and 3 days ago, and assign it a color code. By default, we use 🟢, 🟡, and 🔴 to indicate that price is above, stuck inside, or below these ranges, respectively.
Take the following chart as an example. We manually drew these boxes to encompass the range of each day, from high to low. The leftmost box from 3 days ago is colored red to reflect the fact that price is below that day's low. This is why the table indicates a state of 🔴 for the range from 3 days ago. Then, the following two days are colored yellow to indicate that price is currently trading inside their ranges, which is why the state for both of those days is indicated as 🟡 in the table.
In a similar example below, we can see that price is clearly above the high from 3 days ago and the high from 2 days ago, which is reflected in the table with a state of 🟢 for both. However, since price is currently trading within the range from 1 day ago, it is assigned a state of 🟡 in the table.
As you may have noticed in the above examples, each day's high and low is indicated with labels (ex. "2H" and "2L" for the high and low from 2 days ago). These are optional and can be turned off in the indicator's settings. The lines tracking the previous 3 day highs and lows may also be turned off so that you're just left with the table, as is shown in the below example.
With this minimalistic table, users can get a quick glance at how price is trading with respect to the last few days of price action. Hopefully this proves useful for mobile users as well, since the indicator can be reduced to a simple table that doesn't take up much chart space. Indicator
HTF Liquidity Dashboard [TFO]The purpose of this indicator is to server as a multi-symbol scanner that indicates when user-defined symbols have exceeded their previous Day/Week/Month highs and lows.
By default, the dashboard will use a compact view where the green ✔ means that price has swept and is currently exceeding the level of interest, the red ❌ implies that price swept the level but reversed back into the original range, and - indicates that the level hasn't been reached. However, the dashboard text can be toggled to show the numerical values of the highs and lows instead of these compact strings, as shown in the following image.
These levels may be shown and customized on the current chart as well via the Show Levels option. By default, levels from the selected timeframes will initially be plotted as black, and will change to red once traded through. Users can optionally increase the Session Limit parameter to show more than one previous high/low on their chart, for each selected timeframe.
Optionally, we can also plot labels to show when any of the user-defined symbols have exceeded their respective highs and lows, for any of the selected timeframes. Alerts can be created for these events as well; simply select the desired symbols and timeframes, create a new alert using this indicator, and you should be alerted when highs and lows are traded through. Note: if you encounter any issues with duplicate alerts, try deleting the alert, navigating to a lower timeframe such as the 1m, and making a new alert.
Indicator
Price Exhaustion IndicatorThe Price Exhaustion Indicator (PE) is a powerful tool designed to identify trends weakening and strengthening in the financial markets. It combines the concepts of Average True Range (ATR), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator to provide a comprehensive assessment of trend exhaustion levels. By analyzing these multiple indicators together, traders and investors can gain valuable insights into potential price reversals and long-term market highs and lows.
The aim of combining the ATR, MACD, and Stochastic Oscillator, is to provide a comprehensive analysis of trend exhaustion. The ATR component helps assess the volatility and range of price movements, while the MACD offers insights into the convergence and divergence of moving averages. The Stochastic Oscillator measures the current price in relation to its range, providing further confirmation of trend exhaustion. The exhaustion value is derived by combining the MACD, ATR, and Stochastic Oscillator. The MACD value is divided by the ATR value, and then multiplied by the Stochastic Oscillator value. This calculation results in a single exhaustion value that reflects the combined influence of these three indicators.
Application
The Price Exhaustion Indicator utilizes a unique visual representation by incorporating a gradient color scheme. The exhaustion line dynamically changes color, ranging from white when close to the midline (40) to shades of purple as it approaches points of exhaustion (overbought at 100 and oversold at -20). As the exhaustion line approaches the color purple, this represents extreme market conditions and zones of weakened trends where reversals may occur. This color gradient serves as a visual cue, allowing users to quickly gauge the strength or weakness of the prevailing trend.
To further enhance its usability, the Price Exhaustion Indicator also includes circle plots that signify potential points of trend reversion. These plots appear when the exhaustion lines cross or enter the overbought and oversold zones. Red circle plots indicate potential short entry points, suggesting a weakening trend and the possibility of a downward price reversal. Conversely, green circle plots represent potential long entry points, indicating a strengthening trend and the potential for an upward price reversal.
Traders and investors can leverage the Price Exhaustion Indicator in various ways. It can be utilized as a trend-following tool, or a mean reversion tool. When the exhaustion line approaches the overbought or oversold zones, it suggests a weakening trend and the possibility of a price reversal, helping identify potential market tops and bottoms. This can guide traders in timing their entries or exits in anticipation of a trend shift.
Utility
The Price Exhaustion Indicator is particularly useful for long-term market analysis, as it focuses on identifying long-term market highs and lows. By capturing the gradual weakening or strengthening of a trend, it assists investors in making informed decisions about portfolio allocation, trend continuation, or potential reversals.
In summary, the Price Exhaustion Indicator is a comprehensive and visually intuitive tool that combines ATR, MACD, and Stochastic Oscillator to identify trend exhaustion levels. By utilizing a gradient color scheme and circle plots, it offers traders and investors valuable insights into potential trend reversals and long-term market highs and lows. Its unique features make it a valuable addition to any trader's toolkit, providing a deeper understanding of market dynamics and assisting in decision-making processes. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance. Indicator
MTF Stationary Extreme IndicatorThe Multiple Timeframe Stationary Extreme Indicator is designed to help traders identify extreme price movements across different timeframes. By analyzing extremes in price action, this indicator aims to provide valuable insights into potential overbought and oversold conditions, offering opportunities for trading decisions.
The indicator operates by calculating the difference between the latest high/low and the high/low a specified number of periods back. This difference is expressed as a percentage, allowing for easy comparison and interpretation. Positive values indicate an increase in the extreme, while negative values suggest a decrease.
One of the unique features of this indicator is its ability to incorporate multiple timeframes. Traders can choose a higher timeframe to analyze alongside the current timeframe, providing a broader perspective on market dynamics. This feature enables a comprehensive assessment of extreme price movements, considering both short-term and longer-term trends.
By observing extreme movements on different timeframes, traders can gain deeper insights into market conditions. This can help in identifying potential areas of confluence or divergence, supporting more informed trading decisions. For example, when extreme movements align across multiple timeframes, it may indicate a higher probability of a significant price reversal or continuation.
To use the Multiple Timeframe Stationary Extreme Indicator effectively, traders should consider a few key points:
- Choose the Timeframes : Select the appropriate timeframes based on your trading strategy and objectives. The current timeframe represents the focus of your analysis, while the higher timeframe provides a broader context. Ensure the chosen timeframes align with your trading style and the asset you are trading.
- Interpret Extreme Movements : Pay attention to extreme movements that breach certain levels. Values above zero indicate a rise in the extreme, potentially signaling overbought conditions. Conversely, values below zero suggest a decrease, potentially indicating oversold conditions. Use these extreme movements as potential entry or exit signals, in conjunction with other indicators or confirmation signals.
- Validate with Price Action : Confirm the extreme movements observed on the indicator with price action. Look for confluence between the indicator's extreme levels and key support or resistance levels, trendlines, or chart patterns. This can provide added confirmation and increase the reliability of the signals generated by the indicator.
- Consider Volatility Filters : The indicator can be enhanced by incorporating volatility filters. By adjusting the sensitivity of the extreme differences calculation based on market volatility, traders can adapt the indicator to different market conditions. Higher volatility may require a longer lookback period, while lower volatility may call for a shorter one. Experiment with volatility filters to fine-tune the indicator's performance.
- Combine with Other Analysis Techniques : The Multiple Timeframe Stationary Extreme Indicator is most effective when used as part of a comprehensive trading strategy. Combine it with other technical analysis tools, such as trend indicators, oscillators, or chart patterns, to form a well-rounded approach. Consider risk management techniques and money management principles to optimize your trading strategy.
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Remember that trading indicators, including the Multiple Timeframe Stationary Extreme Indicator, should not be used in isolation. They serve as tools to assist in decision-making, but they require proper context, analysis, and confirmation. Always conduct thorough analysis and consider market conditions, news events, and other relevant factors before making trading decisions.
It's recommended to backtest the indicator on historical data to assess its performance and effectiveness for your trading approach. This will help you understand its strengths and limitations, allowing you to refine and optimize your usage of the indicator. Indicator
