Systemic Docs

Name	Type	Description
Window	integer	The number of periods over which to calculate the rolling VWAP.
Price	floatarray	The price series for VWAP calculation. Typically closing prices, though any consistent price type works.
Volume	floatarray	The trading volume corresponding to each price period. Volume is the core differentiator that makes VWAP meaningful—it weights prices by actual market activity.

Name	Type	Description
VWAP	floatarray	The Volume Weighted Average Price for each period in your data series.

VWAP calculates the average price at which an asset has traded over a rolling window of N bars, weighted by volume — not the traditional session-reset VWAP. It continuously updates bar-by-bar, the same way an SMA does.

VWAP = \frac{\sum_{i=1}^{N} (Price_i \times Volume_i)}{\sum_{i=1}^{N} Volume_i}

How It Works

flowchart TD
    subgraph Data["Market Data (last N bars)"]
        P["Price (typical: H+L+C/3)"]
        V["Volume"]
    end
    
    subgraph Calc["Rolling Window Calculation"]
        PV["Price × Volume"]
        SUM1["Σ(Price × Volume), last N bars"]
        SUM2["Σ Volume, last N bars"]
    end
    
    subgraph Result["Output"]
        DIV["SUM1 ÷ SUM2"]
        VWAP["VWAP"]
    end
    
    P & V --> PV --> SUM1 --> DIV
    V --> SUM2 --> DIV
    DIV --> VWAP

Missing Data

A bar is used only when both Price and Volume are present at that slot; a bar missing either one is dropped from the window — never treated as zero. "N bars" means N observed (non-gap) bars, so the window skips past gaps (e.g. a weekend) to the next real trading days.

Situation	Output
Fewer than N observed bars so far (warm-up)	No value yet
A missing Price or Volume slot	No value at that slot
A real bar with zero volume (no trades)	Counted as an observed bar — a window of all-zero-volume bars yields no value (nothing traded, not "0")

Interpreting VWAP

Price Position	Interpretation
Price > VWAP	Buyers paying above average — bullish pressure
Price < VWAP	Buyers paying below average — bearish pressure
Price ≈ VWAP	Fair value zone

flowchart LR
    subgraph Zones["Price vs VWAP"]
        ABOVE["Above VWAP<br/>Bullish bias"]
        AT["At VWAP<br/>Fair value"]
        BELOW["Below VWAP<br/>Bearish bias"]
    end
    
    ABOVE --> AT --> BELOW

Institutional Usage

VWAP serves as a benchmark for trade execution quality:

Trader Type	VWAP Use
Buyer	Aim to buy below VWAP (good fill)
Seller	Aim to sell above VWAP (good fill)
Algorithm	Execute orders near VWAP to minimize market impact

Trading Strategies

1. VWAP as Support/Resistance

Condition	Action
Price pulls back to VWAP in uptrend	Potential buy zone
Price rallies to VWAP in downtrend	Potential sell zone

2. VWAP Crossover

Event	Signal
Price crosses above VWAP	Intraday bullish
Price crosses below VWAP	Intraday bearish

3. VWAP Bands

Standard deviation bands around VWAP help identify:

Overbought: Price at +2σ band
Oversold: Price at -2σ band

VWAP vs Moving Averages

Aspect	VWAP (this module)	SMA/EMA
Volume	✓ Incorporated	✗ Price only
Window	Rolling, last N bars	Rolling, last N bars
Institutional use	Primary benchmark	Secondary indicator
Best for	Execution assessment	Trend identification

Considerations

Factor	Impact
Window size	Larger N smooths more but reacts slower to recent volume shifts
Volume spikes	High-volume bars heavily influence VWAP
Rolling, not session-anchored	Unlike a broker's intraday VWAP, this indicator never resets — pick N to match the lookback you care about

Advantages

Volume-weighted — Reflects true average traded price
Institutional benchmark — Standard for execution quality
Dynamic support/resistance — Continuously updates with new bars
Clear signal — Above/below provides directional bias

Disadvantages

Not session-anchored — Does not replicate a broker's daily-reset VWAP; use window sizing to approximate a session
Volume dependent — Requires reliable volume data
Warm-up gap — No value until N bars have been observed

Indicator Assessment

%%{init: {'theme': 'base', 'themeVariables': { 'cScale0': '#2563eb', 'cScale1': '#7c3aed'}}}%%
quadrantChart
    title VWAP Indicator Assessment
    x-axis Low Complexity --> High Complexity
    y-axis Low Reliability --> High Reliability
    quadrant-1 High Value
    quadrant-2 Specialized
    quadrant-3 Limited Use
    quadrant-4 Accessible
    Stocks: [0.30, 0.80]
    Crypto: [0.30, 0.60]

Dimension	Stocks	Crypto	Notes
Popularity	9/10	7/10	The institutional standard for execution quality in equities; increasingly adopted in crypto
Reliability	8/10	6/10	Highly reliable for liquid stocks with accurate volume data; crypto volume reporting varies
Complexity	3/10	3/10	Simple rolling-window formula; straightforward interpretation
Versatility	7/10	6/10	Excellent for intraday trading; window size tunes the effective lookback
Recent Interest	8/10	8/10	Core institutional tool; growing use in algorithmic and crypto trading strategies

Volume Weighted Average Price

Inputs

Outputs