AlgoLevel - Price Action Toolkit

AlgoLevel — Price Action Toolkit is a price-action–based analysis indicator designed to help traders better understand how price behaves around key areas, rather than relying on lagging indicators or isolated signals.
The script is built on widely used price action concepts such as Supply & Demand zones, market structure (BOS / CHoCH), displacement, volume participation, and key market reference levels. These concepts are commonly studied and applied by discretionary traders across different markets.
By automatically organizing these elements on the chart, AlgoLevel helps reduce manual work and chart clutter, allowing traders to focus on context, confirmation, and disciplined decision-making. When combined with proper risk management and a well-defined trading plan, the tool is intended to support consistent and structured analysis, not shortcuts or guarantees.
AlgoLevel is designed for learning, analysis, and situational awareness, and can be used across any market or timeframe.
AlgoLevel is built around four core price-action pillars, applied in a specific and intentional order:
1. Supply & Demand Zones (Primary Focus)
2. Zone Lifecycle: Mitigation & Retests
3. Market Structure (BOS / CHoCH)
4. Momentum & Key Market Levels (Context)

It is a decision-support system that shows where price is reacting, what structure is doing, and whether momentum supports continuation or reversal.



🔶 CORE FEATURES (OVERVIEW)
AlgoLevel includes the following major components:
• Automated Supply & Demand zone detection with strength scoring
• Smart Demand / Smart Supply zone highlighting
• Zone mitigation & invalidation tracking
• Price-entered zone detection (normal & Smart)
• Swing market structure (HH / HL / LH / LL)
• BOS & CHoCH detection
• Optional ghost swings (emerging structure)
• Hybrid Momentum Cloud (ATR-normalized displacement × volume)
• Optional MTF momentum confluence
• Key market levels:
o PDH / PDL
o WKH / WKL
o PMH / PML
• Built-in alerts + optional on-chart popup alerts
• Hover tooltips on all major elements (zones, structure, levels)


🔶 1) SUPPLY & DEMAND ZONES (PRIMARY ENGINE)
Supply & Demand zones are the foundation of AlgoLevel. Zones are detected on confirmed candles only, using:
• Candle direction (bullish / bearish)
• Relative volume vs EMA baseline
• Price displacement & imbalance behavior
Each zone stores:
• Zone top / bottom / midpoint
• Formation volume
• Relative strength score
• Time anchor for clean plotting & extension

✅ Smart Zones (Strength-Based Filtering)
Zones are ranked relative to recent zones.
Zones meeting your configured threshold (example: ≥ 60%) are highlighted as Smart Demand or Smart Supply.



🔶 2) ZONE LIFECYCLE — MITIGATION & RETEST LOGIC
Zones in AlgoLevel are dynamic, not static drawings.
Each zone follows a lifecycle:
Formation → Active → Mitigated / Invalidated
Mitigation styles:
• Close — strict confirmation beyond the zone
• Wick — sensitive touch behavior
• Avg — average-based mitigation logic
Mitigated zones are automatically removed, keeping the chart focused on relevant price areas.
Price Entered Zone Detection
AlgoLevel detects when price:
• Enters Demand / Supply zones
• Enters Smart Demand / Smart Supply zones
These events can trigger:
• Alerts
• On-chart popup labels
• Monitoring workflows



🔶 3) MARKET STRUCTURE — BOS / CHoCH CONFIRMATION
After price interacts with a zone, market structure provides intent.
The structure engine identifies:
• HH / HL / LH / LL
• BOS (Break of Structure) — continuation context
• CHoCH (Change of Character) — potential reversal context
Optional Ghost Swings
Ghost swings show temporary emerging pivots and disappear once structure is confirmed — providing early context without repainting confirmed labels.



🔶 4) HYBRID MOMENTUM CLOUD (TREND CONTEXT)
The Momentum Cloud is a bias & trend context tool, not a timing trigger.
It combines:
• ATR-normalized displacement
• Volume-weighted momentum
• EMA smoothing
• Adaptive envelope expansion / contraction
Optional MTF Momentum Confluence
Momentum confirmation can require agreement from additional timeframes with a configurable signal count.



🔶 5) KEY MARKET LEVELS (CONTEXT & FRAMING)
AlgoLevel includes widely used reference levels:
• PDH / PDL — Previous Day High / Low
• WKH / WKL — Previous Week High / Low
• PMH / PML — Premarket High / Low
• Optional VWAP
These levels help frame:
• Liquidity context
• Reaction zones
• Potential targets



Example 2


🔶 6) HOVER TOOLTIPS & INTERACTIVE EXPLANATIONS (KEY UX FEATURE)
AlgoLevel includes contextual hover tooltips across all major elements to make the script self-explanatory directly on the chart.
When hovering over zones, structure labels, or levels, users can see:
Zone Tooltips
• Zone type (Demand / Supply)
• Strength percentage (relative ranking)
• Formation volume
• Quick interpretation (strong / medium / weak context)
Structure Tooltips
• BOS vs CHoCH explanation
• Internal vs swing structure context
• Confirmation logic reference
Level Tooltips
• Level type (PDH, PMH, WKH, etc.)
• Session or timeframe origin
• Intended use as reference, not signals
This allows users to understand what each element represents and why it matters without reading documentation or code.




🔶 BASIC DEMONSTRATION (CONCEPTUAL EXAMPLES)
Example A — Trend Continuation from Demand
1. Momentum Cloud indicates bullish bias
2. Price pulls back into Smart Demand
3. BOS confirms continuation
4. Levels used for context & targets



Example B — Reversal Context from Supply
1. Price enters Supply zone
2. CHoCH appears
3. Momentum shifts bearish
4. Zone + structure used as reversal context



🔶 USAGE & WORKFLOW (RECOMMENDED)
1️⃣ Establish bias using Momentum Cloud
2️⃣ Identify Smart Demand / Supply zones
3️⃣ Wait for price interaction
4️⃣ Confirm intent using structure
5️⃣ Use levels for context
6️⃣ Execute with personal risk rules


🔶 SETTINGS (HIGH-LEVEL GUIDE)
Supply & Demand
• Lookback count
• Mitigation method
• De-dup distance
• Zone extension
• Smart labels & metrics
• MTF zone source
Structure
• Swing length
• BOS / CHoCH labels
• Ghost swings
Momentum
• EMA base
• Volume & displacement lookbacks
• Smoothing & envelope factor
• MTF confirmation
Levels
• PDH / PDL
• WKH / WKL
• PMH / PML
Alerts
• Zone formed / mitigated
• Zone entered
• Smart zone entered
• On-chart popups


🔹 HOW I USE THIS TOOL (AUTHOR WORKFLOW)
This is one practical way I personally use AlgoLevel for intraday context and execution alignment.

1️⃣ Use a Lower Timeframe for Early Zone Awareness (10-Second Chart)
I first monitor a very low timeframe (example: 10-second) to observe:
• Where Supply and Demand zones are forming early
• How price reacts inside those zones (acceptance, rejection, or clean breaks)
• Which zones show higher relative strength or volume participation
This helps me see micro reactions and intent before they become obvious on higher timeframes.



2️⃣ Execute Decisions on a Higher Timeframe (1-Minute Chart)
Once zones are established on the lower timeframe, I shift focus to the 1-minute chart to:
• Trade with cleaner structure
• Reduce noise from ultra-fast price fluctuations
• Use Supply/Demand zones as areas, not precise entries
Execution decisions are always made on the higher timeframe, with the lower timeframe acting as context only, not a trigger.



3️⃣ Always Check Key Reference Levels
Before taking any trade idea, I verify where price is relative to:
• Premarket High / Low (PMH / PML)
• Previous Day High / Low (PDH / PDL)
• Previous Week High / Low (WKH / WKL)
If price is reacting at these levels in confluence with Supply/Demand zones, the context is stronger.
If not, I stay patient.



4️⃣ Use Structure & Momentum for Confirmation, Not Prediction
• Swing structure (HH/HL/LH/LL, BOS, CHoCH) helps confirm whether price is continuing or shifting
• The Momentum Cloud provides trend context, not entries
I avoid trading against structure or momentum, even if a zone exists.



5️⃣ Risk Management Is Always User-Defined
AlgoLevel does not:
• Generate buy/sell signals
• Define stops or targets
• Guarantee outcomes
Risk, position sizing, and execution rules are entirely up to the user. Zones and levels are decision areas, not guarantees.


📝 IMPORTANT NOTE
This workflow is shared for educational purposes only to demonstrate how multiple timeframes, zones, structure, and levels can be combined logically. Results depend on market conditions, execution discipline, and risk management.

• Zones can fail or be mitigated
• Structure labels require confirmation
• Momentum is context, not timing
• Best results come from confluence


📝Conclusion
Price action trading is widely respected for its straightforward and practical approach to understanding market behavior. This tool is designed to enhance that approach by presenting structured price-based insights in a clear and accessible way, helping traders better observe and interpret market movement.

While this script provides valuable visual context and analytical support, it should be used as part of a broader trading process. Market outcomes depend on many variables, and consistent performance comes from experience, discipline, and sound decision-making over time.


🔒 How to get access
This is an Invite-Only script.
Follow the author’s access instructions on the publication page.