Auto Technical Analysis: 15 Amazing Tools to Scale Your Analysis Skills

Integrated Market Intelligence: The Auto Technical Analysis Suite

In cryptocurrency markets, efficient data processing is critical for decision-making. To maintain a clear market perspective, analysts often require more than simple charting; they benefit from a comprehensive Auto Technical Analysis suite that aggregates complex data into actionable insights.

Our dashboard functions as a central information hub, designed for users who prioritize analytical accuracy and workflow efficiency. Whether tracking Smart Money Concepts (SMC), Automated Support & Resistance, or ETF Flows, this system provides a unified interface to analyze market regimes and technical structure.

15 Modules for Professional Analysis

The Auto Technical Analysis interface is divided into specialized modules. Each tab serves a specific function in technical strategy. Below is a breakdown of the available data:

S&R (Support & Resistance)

• Function: Automates the calculation of significant horizontal levels based on historical pivots.
• Utility: Calculates the percentage distance of the live price from major support or resistance zones. This assists users in defining technical invalidation points or potential targets.

FIB (Fibonacci Smart)

• Function: Automatically detects significant swing highs and lows to overlay standard retracement levels (e.g., 0.618).
• Utility: The system highlights when price is interacting with a Fibonacci zone, identifying areas of interest often used for retracement analysis.

TREND (Trend Structure)

• Function: Uses pivot point algorithms to identify Higher Highs (HH) and Higher Lows (HL).
• Utility: Visually maps market structure to categorize the asset’s state: Uptrend, Downtrend, or Consolidation.

EMA (Exponential Moving Averages)

• Function: Tracks momentum across five key timeframes (EMA 8, 20, 50, 100, 200).
• Utility: Provides the “slope” calculation for each EMA, offering insight into the velocity and directional bias of the trend.

SMC (Smart Money Concepts)

• Function: Tracks structural elements such as BoS (Break of Structure) and CHoCH (Change of Character).
• Utility: Highlights open Fair Value Gaps (FVG), marking price ranges where inefficiencies exist that technical theory suggests may be revisited.

LTLB (Last Top / Last Bottom)

• Function: Calculates the distance to the most recent local swing high and swing low.
• Utility: Provides an instant calculation of the trading range, assisting in the assessment of Risk/Reward (R/R) ratios relative to current volatility boundaries.

VWAP (Volume Weighted Average Price)

• Function: Displays Multi-Timeframe VWAP levels (Daily, Weekly, Monthly).
• Utility: Identifies high-confluence areas where price action aligns with the volume-weighted average of different time horizons.

NPOC (Naked Point of Control)

• Function: Tracks Naked POCs—volume nodes from previous sessions that have not yet been retested.
• Utility: In Auction Market Theory, these unvisited levels are often monitored as potential targets for mean reversion strategies.

VP (Volume Profile)

• Function: Visualizes the “Value Area,” including the POC (Point of Control), VAH (Value Area High), and VAL (Value Area Low).
• Utility: Differentiates between High Volume Nodes (consensus zones) and Low Volume Nodes (areas of low liquidity/rapid movement).

DIV (Divergence Matrix)

• Function: Scans RSI, Stochastic, MACD, Volume, and OBV for potential divergences.
• Utility: Alerts users when price action contradicts momentum indicators (e.g., Price rising while RSI falls), often interpreted as a sign of waning momentum.

⚖️ CORR (BTC Correlation & Lag)

• Function: Analyzes the Beta and Pearson Correlation of an asset relative to Bitcoin.
• Utility: Identifies “Lag Signals”—statistical instances where an asset’s price movement is delayed compared to the market leader.

🕳️ CME (Bitcoin Futures Gaps)

• Function: Monitors price gaps created over the weekend on the CME Bitcoin futures market.
• Utility: Tracks these levels as potential technical objectives, based on the historical tendency for futures gaps to close.

ETF (Institutional Flows)

• Function: Displays real-time net flow data for BTC, ETH, and SOL ETFs.
• Utility: Provides data on institutional accumulation or distribution trends, visualizing net capital movement.

KPI (Key Performance Indicators)

• Function: Aggregates macro data such as the VIX (Volatility Index), Stablecoin Pressure Index (SPI), and Leverage Pressure Index (LPI).
• Utility: Determines the overall market regime (e.g., Risk-On vs. Risk-Off).

STATS (Candlestick & OHLCV)

• Function: Provides raw OHLCV data and automated recognition for 20+ Candlestick Patterns.
• Utility: Streamlines the identification of standard technical patterns (e.g., Engulfing, Morning Star) for data-driven confirmation.

Why Use Auto Technical Analysis?

In active markets, manual charting is time-intensive. The Auto Technical Analysis system automates the calculation process, allowing users to focus on strategy execution and risk management. By combining on-chain data (like ETF flows) with mathematical precision (like EMA slopes), users gain a comprehensive view of market structure.