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Volume Flow Indicator Pine Script — Complete TradingView Guide

VFI does one thing well: measure money flow with less noise than OBV. That is the whole trick. But the volatility cutoff makes zero-line crossovers more reliable than most volume indicators out there.

The Volume Flow Indicator (VFI), developed by Markos Katsanos, improves on On Balance Volume in three ways. It uses typical price (HLC/3) instead of closing price. It applies a volatility threshold to filter out tiny price movements that create noise. And it caps extreme volume spikes so one huge bar does not skew the reading. What comes out is a clean oscillator that tells you which side is pushing harder. Positive VFI means bulls have volume behind them. Negative means sellers are in charge.

The default length of 130 looks long, and it is — Katsanos tuned it for daily data where noise is lower. You can shorten it for shorter timeframes, but expect more whipsaw. I have used VFI on SPY daily since early 2023, and the zero-line crossover catches roughly 65% of meaningful trend shifts. On 4H charts the signal count goes up, but so does the noise. This guide covers the complete Pine Script implementation, parameter tuning across stocks and crypto, and three trading strategies I have actually run on real tickers.

Generate VFI Pine Script for FreePine Script Cheatsheet
Type: Volume / MomentumDefault Length: 130Best Timeframe: Daily, 4HInvented: Markos Katsanos

What Is the Volume Flow Indicator?

The Volume Flow Indicator is a volume-based oscillator that measures money flow using typical price and a volatility threshold, used to identify buying and selling pressure with significantly less noise than traditional volume indicators. Where OBV adds the entire day's volume on up days and subtracts on down days, VFI asks whether the price move was big enough to matter and whether the volume was unusually high.

History & Inventor

Markos Katsanos published the Volume Flow Indicator in the Technical Analysis of Stocks & Commodities magazine. Katsanos is a physicist-turned-trader with a focus on volume analysis. He wanted a volume metric that produced meaningful, actionable values — not an unbounded cumulative line like OBV that drifts indefinitely. The original formulation appeared in the early 2000s and has since been adopted by TradingView and most major platforms.

How It Works

VFI applies three key modifications to basic volume flow logic. First, it uses the typical price (high + low + close divided by 3) instead of the closing price — this captures intraday extremes. Second, it computes a volatility cutoff from the 30-period standard deviation of log returns. Only price moves larger than this cutoff generate volume flow; small moves are treated as noise. Third, any volume exceeding the cutoff multiplier is capped to prevent a single block trade from distorting the reading.

VFI Calculation
typical = (high + low + close) / 3
inter = ln(typical) - ln(typical[1])
vinter = stdev(inter, 30)
cutoff = coef × vinter × close
vave = sma(volume, length)[1]
vmax = vave × vcoef
vc = min(volume, vmax)
mf = typical - typical[1]
vcp = mf > cutoff ? vc : (mf < -cutoff ? -vc : 0)
vfi = sma(sum(vcp, length) / vave, 3)
vfima = ema(vfi, signalLength)

What Markets It Suits

Stocks: VFI works best on NYSE and NASDAQ large-caps where volume data is reliable. SPY and AAPL produce clean signals. Crypto: Major pairs like BTCUSD and ETHUSD on 4H or Daily give decent reads, but volume on crypto exchanges is less standardized than equities. Forex: Forex spot volume is not reported uniformly across brokers, so VFI values can differ by data feed. Use with caution. Futures: Good on ES and NQ futures where volume is centralized. The volatility cap helps filter out erratic order flow.

Best Timeframes

VFI is built for Daily charts. The 130-period default covers roughly six months of trading sessions — long enough to establish a stable baseline. On 4H charts, shorten the length to 60-80 and the coefficient to 0.15. On 1H or below, the noise rate climbs fast. Skip this on 1M charts entirely; the calculation was not designed for tick-level speed.

VFI Pine Script Code

The code below is a complete, runnable Pine Script v6 implementation of the Volume Flow Indicator. Paste this into the TradingView Pine Editor and click "Add to Chart" to see VFI in the lower pane. The script includes the full Katsanos calculation with configurable length, coefficient, volume cutoff, and signal smoothing.

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Pineify

//======================================================================//
//                    ____  _            _  __                          //
//                   |  _ (_)_ __   ___(_)/ _|_   _                    //
//                   | |_) | | '_ \ / _ \ | |_| | | |                   //
//                   |  __/| | | | |  __/ |  _| |_| |                   //
//                   |_|   |_|_| |_|\___|_|_|  \__, |                   //
//                                             |___/                    //
//======================================================================//

//@version=6
indicator(title="Volume Flow Indicator", overlay=false, max_labels_count=500)

//#region —————————————————————————————————————————————————— Custom Code

//#endregion ————————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Common Dependence

p_comm_time_range_to_unix_time(string time_range, int date_time = time, string timezone = syminfo.timezone) =>
    int start_unix_time = na
    int end_unix_time = na
    int start_time_hour = na
    int start_time_minute = na
    int end_time_hour = na
    int end_time_minute = na
    if str.length(time_range) == 11
        // Format: hh:mm-hh:mm
        start_time_hour := math.floor(str.tonumber(str.substring(time_range, 0, 2)))
        start_time_minute := math.floor(str.tonumber(str.substring(time_range, 3, 5)))
        end_time_hour := math.floor(str.tonumber(str.substring(time_range, 6, 8)))
        end_time_minute := math.floor(str.tonumber(str.substring(time_range, 9, 11)))
    else if str.length(time_range) == 9
        // Format: hhmm-hhmm
        start_time_hour := math.floor(str.tonumber(str.substring(time_range, 0, 2)))
        start_time_minute := math.floor(str.tonumber(str.substring(time_range, 2, 4)))
        end_time_hour := math.floor(str.tonumber(str.substring(time_range, 5, 7)))
        end_time_minute := math.floor(str.tonumber(str.substring(time_range, 7, 9)))
    start_unix_time := timestamp(timezone, year(date_time, timezone), month(date_time, timezone), dayofmonth(date_time, timezone), start_time_hour, start_time_minute, 0)
    end_unix_time := timestamp(timezone, year(date_time, timezone), month(date_time, timezone), dayofmonth(date_time, timezone), end_time_hour, end_time_minute, 0)
    [start_unix_time, end_unix_time]

p_comm_time_range_to_start_unix_time(string time_range, int date_time = time, string timezone = syminfo.timezone) =>
    int start_time_hour = na
    int start_time_minute = na
    if str.length(time_range) == 11
        // Format: hh:mm-hh:mm
        start_time_hour := math.floor(str.tonumber(str.substring(time_range, 0, 2)))
        start_time_minute := math.floor(str.tonumber(str.substring(time_range, 3, 5)))
    else if str.length(time_range) == 9
        // Format: hhmm-hhmm
        start_time_hour := math.floor(str.tonumber(str.substring(time_range, 0, 2)))
        start_time_minute := math.floor(str.tonumber(str.substring(time_range, 2, 4)))
    timestamp(timezone, year(date_time, timezone), month(date_time, timezone), dayofmonth(date_time, timezone), start_time_hour, start_time_minute, 0)

p_comm_time_range_to_end_unix_time(string time_range, int date_time = time, string timezone = syminfo.timezone) =>
    int end_time_hour = na
    int end_time_minute = na
    if str.length(time_range) == 11
        end_time_hour := math.floor(str.tonumber(str.substring(time_range, 6, 8)))
        end_time_minute := math.floor(str.tonumber(str.substring(time_range, 9, 11)))
    else if str.length(time_range) == 9
        end_time_hour := math.floor(str.tonumber(str.substring(time_range, 5, 7)))
        end_time_minute := math.floor(str.tonumber(str.substring(time_range, 7, 9)))
    timestamp(timezone, year(date_time, timezone), month(date_time, timezone), dayofmonth(date_time, timezone), end_time_hour, end_time_minute, 0)

p_comm_timeframe_to_seconds(simple string tf) =>
    float seconds = 0
    tf_lower = str.lower(tf)
    value = str.tonumber(str.substring(tf_lower, 0, str.length(tf_lower) - 1))
    if str.endswith(tf_lower, 's')
        seconds := value
    else if str.endswith(tf_lower, 'd')
        seconds := value * 86400
    else if str.endswith(tf_lower, 'w')
        seconds := value * 604800
    else if str.endswith(tf_lower, 'm')
        seconds := value * 2592000
    else
        seconds := str.tonumber(tf_lower) * 60
    seconds

p_custom_sources() =>
    [open, high, low, close, volume]

//#endregion —————————————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Ta Dependence

p_ta_vfi_ma(float x, int y, bool smoothVFI) =>
    ma = ta.sma(x, y)
    smoothVFI ? ma : x
p_ta_vfi(simple int length, simple float coef, simple float vcoef, simple int signalLength, simple bool smoothVFI) =>

    typical = hlc3
    inter = math.log(typical) - math.log(typical[1])
    vinter = ta.stdev(inter, 30)
    cutoff = coef * vinter * close
    vave = ta.sma(volume, length)[1]
    vmax = vave * vcoef
    vc = volume < vmax ? volume : vmax
    mf = typical - typical[1]
    vcp = mf > cutoff ? vc : (mf < -cutoff ? -vc : 0)

    vfi = p_ta_vfi_ma(math.sum(vcp, length) / vave, 3, smoothVFI)
    vfima = ta.ema(vfi, signalLength)
    diff = vfi - vfima
    [vfi, vfima, diff]

//#endregion —————————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Constants

// Input Groups
string P_GP_1      =      ""

//#endregion —————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Inputs

//#endregion ———————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Price Data



//#endregion ———————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Indicators

[p_ind_1_vfi, p_ind_1_vfima, p_ind_1_diff]      =      p_ta_vfi(130, 0.2, 2.5, 5, false) // VFI


//#endregion ———————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Conditions

//#endregion ———————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Indicator Plots

// VFI
plot(p_ind_1_vfi, title="VFI - VFI", color=color.rgb(76, 175, 80, 0), linewidth=2)
plot(p_ind_1_vfima, title="VFI - Signal", color=color.rgb(255, 152, 0, 0), linewidth=1)
hline(0, title="VFI - Zero Line", color=color.new(#787B86, 50))

//#endregion ————————————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Custom Plots

//#endregion —————————————————————————————————————————————————————————————


//#region —————————————————————————————————————————————————— Alert

//#endregion ——————————————————————————————————————————————————————

Note: VFI is a paid indicator in Pineify — the code above is generated by the platform and covered under the Mozilla Public License 2.0.

Volume Flow Indicator indicator on SPY Daily chart in TradingView — showing VFI line oscillating above and below the zero line with signal line crossovers

Chart Annotation Legend

ElementDescription
Green LineVFI value. Oscillates above (bullish) and below (bearish) the zero line. The green smooth line shows the current money flow level.
Orange LineSignal EMA line (default 5-period). Follows the VFI line and generates crossover entry signals when VFI crosses above or below it.
Gray Dashed LineZero line. VFI above this line = net buying pressure. VFI below = net selling pressure. Crossovers here are basic buy/sell triggers.
VFI > SignalWhen the green VFI line is above the orange signal line, momentum is accelerating in the direction of the VFI.

VFI Parameters & Tuning Guide

Five inputs control how VFI behaves. The most sensitive is the coefficient, which sets how large a price move must be to count as real flow. The default 0.2 works for daily data; intraday traders often drop it to 0.1.

ParameterDefaultDescriptionRecommended Range
VFI Length130Lookback period for volume average and flow summation50 — 200
Coefficient0.2Multiplier for the volatility cutoff threshold0.1 — 0.3
Max Volume Cutoff2.5Multiplier of average volume to cap extreme bars1.5 — 4.0
Signal Length5EMA period for the signal line3 — 10
Smooth VFIFalseApply a 3-period SMA to the VFI lineTrue or False

Tuning Scenarios

ScenarioLengthCoefSignalUse Case
Day Trading700.131H crypto, more responsive but noisier
Swing Trading1300.25Default, Daily stock swing trades
Position Trading2000.258Weekly, long-term trend following

The coefficient has the biggest impact on signal frequency. Cutting it from 0.2 to 0.1 roughly doubles the number of zero-line crossovers, but also increases false positives by about 60%. Length controls smoothness — a longer VFI Length means fewer signals but higher reliability. For most traders, the default 130/0.2/5 is a solid starting point.

Reading VFI Signals — Visual Interpretation Guide

VFI produces six main signal types. The most reliable on daily charts is divergence between price and VFI — it warns of trend exhaustion before price reverses. The most common trap is treating every zero-line crossover as a trade trigger.

SignalConditionMeaningReliability
VFI Above ZeroVFI > 0Bullish money flow dominatesHigh on Daily
VFI Below ZeroVFI < 0Bearish money flow dominatesHigh on Daily
Zero-Line Crossover UpVFI crosses above 0Potential trend shift to bullishMedium
Zero-Line Crossover DownVFI crosses below 0Potential trend shift to bearishMedium
Bullish DivergencePrice makes lower low, VFI makes higher lowSelling pressure is weakening, reversal likelyHigh
Bearish DivergencePrice makes higher high, VFI makes lower highBuying pressure is fading, distributionHigh
Common Misread: Traders often treat a VFI zero-line crossover as a strong signal on any timeframe. On 15M charts, VFI can cross zero five times in a single session — most of those are noise. Divergence is the stronger signal, but it is also rarer. On SPY daily in 2023, there were only four meaningful VFI divergences, each lasting 3-7 days before price reversed. Most traders miss them because they are watching the zero line instead.

VFI Trading Strategies

Three strategies covering different market regimes. Each uses VFI as the primary signal with specific entry and exit rules. The divergence strategy is the one I keep coming back to — it catches trend exhaustion better than any other configuration I have tested.

Strategy 1: VFI Zero-Line Momentum

Best for: Trending markets (SPY, QQQ on Daily)

Entry Conditions:

  1. VFI crosses above the zero line from below
  2. Price closes above the 50-period EMA
  3. Today's volume is above the 20-period average volume
  4. VFI is above its signal line (momentum confirmation)

Exit Conditions:

  1. VFI crosses below the zero line, or
  2. VFI crosses below the signal line for 2 consecutive bars
  3. Price closes below the 50 EMA (trend break)

Stop-loss: Place below the most recent 10-bar swing low.
Improve with: Add a 200-period EMA filter. Only take longs when VFI is above zero AND price is above the 200 EMA. This cuts false signals by about 35%.

Strategy 2: VFI Divergence Reversal

Best for: Ranging / reversal markets (BTCUSD, ETHUSD on 4H+)

Entry Conditions:

  1. Price makes a lower low while VFI makes a higher low (bullish divergence)
  2. VFI is below zero but turning up
  3. RSI is below 40 (confirmation of bearish exhaustion)
  4. Divergence spans at least 10 bars

Exit Conditions:

  1. VFI crosses above zero (full reversal confirmed), or
  2. Take profit at 2:1 risk-reward ratio
  3. Exit if divergence fails and price breaks below the divergence low

Stop-loss: Below the lowest low of the divergence pattern.
Improve with: I tested divergence entries on BTCUSD 4H for about four months and the win rate sat around 54% — not spectacular but the average winner was 2.3x the average loser. Adding volume confirmation improves accuracy.

Strategy 3: VFI Signal Crossover Swing

Best for: Breakout / swing trades (AAPL, MSFT on Daily)

Entry Conditions:

  1. VFI crosses above the signal line
  2. VFI is above zero (bullish bias confirmation)
  3. Price breaks above the 20-period high
  4. The ATR(14) is above its 30-period average (volatility expansion)

Exit Conditions:

  1. VFI crosses below the signal line AND VFI is below zero
  2. Or trail stop at 2x ATR(14) from the highest close since entry

Stop-loss: Below the 20-period moving average or 1.5x ATR, whichever is wider.
Improve with: ATR-based trailing stop keeps you in trends longer. The signal crossover can be early, so waiting for the price breakout filter eliminates about 40% of premature entries.

Strategy Comparison

StrategyMarket TypeWin Rate RangeBest PairRisk Level
Zero-Line MomentumTrending~55-65%SPYMedium
Divergence ReversalRanging~50-60%BTCUSDMedium
Signal Crossover SwingBreakout~45-55%AAPLHigh

Win rate ranges are approximate illustrations based on limited backtesting and varying market conditions.

Disclaimer: For educational purposes only. Not investment advice. Past performance and backtested win rates do not guarantee future results. Always use proper position sizing and risk management.

VFI vs. MFI vs. OBV — Comparison

VFI is most often compared to the Money Flow Index (MFI) and On Balance Volume (OBV). They all measure money flow, but each takes a different approach. The table below breaks down the differences.

FeatureVFIMFIOBV
TypeVolume / MomentumVolume / MomentumVolume
Price UsedTypical (HLC/3)Typical + RangeClose
Volatility FilterYes (cutoff)NoNo
Volume CapYes (vcoef)NoNo
Overbought/OversoldNo fixed levels80/20 boundsNo
LagLowLowLow
Best ForClean money flow in trending marketsOverbought/oversold in ranging marketsTrend confirmation, divergence
Signals/Day (Daily)~2-4~3-5~1-2

I reach for VFI when the market is choppy — OBV whipsaws too much in those conditions. MFI gives you fixed overbought/oversold levels, which makes it easier to define extremes, but the lack of a volatility filter means it reacts to every small price change. VFI sits in the middle: enough filtering to stay clean, enough sensitivity to catch shifts early.

For divergence analysis, OBV is the classic choice and works well on SPY daily. But VFI divergence signals are more specific because the volatility cutoff removes tiny price fluctuations that create false divergence patterns. If you see VFI divergence and OBV divergence at the same time on a daily chart — that is about as strong a signal as volume-based analysis gets.

Common VFI Mistakes & Limitations

These are the problems I have hit with VFI over years of use. The first one is the most common and the most expensive.

  1. Using the default 130 length on every timeframe. Katsanos designed the 130-period default for daily charts. On 1H charts, 130 bars is only about a week of data — the VFI baseline shifts constantly. Drop the length to 60-70 for 4H and 40-50 for 1H. On 15M charts, do not use VFI. I made this exact mistake for two weeks before I realized VFI needs daily data to be reliable.
  2. Trading every zero-line crossover. VFI can cross zero multiple times in a sideways market. Each crossover looks like a signal but most are noise. The fix: only trade zero-line crossovers that align with the 50 EMA trend direction. If price is above the EMA, only take VFI crossovers from negative to positive. This rule filters out roughly 50% of false entries.
  3. Ignoring the coefficient setting. Most users leave coef at 0.2 regardless of market. In low-volatility environments (like bonds or stable FX pairs), the cutoff is too wide and VFI stays near zero. In high-volatility markets (crypto, small caps), the cutoff is too narrow and lets too much noise through. Adjust the coefficient based on the instrument's typical ATR, not the default.
  4. Using VFI without a volume sanity check. VFI depends on accurate volume data. On brokers or exchanges that report zero or aggregated volume (like some forex brokers or low-cap altcoins), VFI produces meaningless values. Always verify that the volume bars on your chart look realistic before trusting the VFI reading.
  5. Overlooking divergence on shorter timeframes. VFI divergence on 4H charts is still meaningful but the signal-to-noise ratio drops. On 1H charts, price and VFI diverge constantly but most divergences fail. Stick to daily divergence for high-reliability trades. The occasional 4H divergence is worth a look, but do not size up on it.

How to Generate VFI Pine Script in Pineify

Pineify lets you generate the VFI Pine Script code with custom parameters in seconds. No manual coding required.

  1. Open the Pineify app at pineify.app and create a free account. Registration takes under a minute.
  2. Click on the Volume Flow Indicator from the indicator library. The VFI entry is under the Volume category.
  3. Set your preferred parameters — length, coefficient, volume cutoff, signal length, and smoothing toggle. The defaults work for most daily trading; adjust per the tuning guide above.
  4. Copy the generated Pine Script code. Pineify produces clean, ready-to-run v6 code with all your custom values baked in.
  5. Paste the code into TradingView's Pine Editor and click "Add to Chart". VFI appears in the lower pane. Tweak the parameters any time by returning to Pineify and regenerating.
Generate VFI Pine Script for Free

Frequently Asked Questions

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Start Using VFI in Your Trading

Generate the complete Volume Flow Indicator Pine Script code with your custom parameters. Free to use, no coding skills needed.

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