
The Money Flow Index (MFI) is a technical analysis tool that combines price and trading volume to measure buying and selling pressure, with readings oscillating between 0 and 100. It is commonly used to identify overbought and oversold conditions, as well as to signal potential trend reversals through divergences.
As an “oscillator,” the MFI can be visualized as a gauge that swings between 0 and 100. High readings indicate strong buying pressure, while low readings signal strong selling pressure. Unlike the RSI, which only considers price, the MFI incorporates trading volume, making it more responsive to actual capital flows in and out of an asset.
The core logic behind the MFI involves first estimating the “money flow” for each candlestick, then comparing the ratio of buying to selling pressure. Understanding the process is more important than memorizing formulas.
Step 1: Calculate the “typical price.” This is the average of a candlestick’s high, low, and close prices, representing its central price point.
Step 2: Calculate “money flow.” Multiply the typical price by the trading volume for that candlestick to get its money flow value.
Step 3: Determine direction. If a candlestick’s typical price is higher than the previous one, it counts as positive money flow; otherwise, it is negative money flow. Learn more about candlestick charts.
Step 4: Over a set period (typically 14), sum up positive and negative money flows to calculate the money flow ratio. A higher ratio reflects stronger buying dominance.
Step 5: Convert to an MFI reading. Use a standard formula to map this ratio to the 0–100 range, resulting in the final MFI curve. Most charting software handles these calculations automatically.
MFI signals are usually analyzed by considering levels, turning points, and divergences. Common thresholds are 80 and 20, though some traders use 70 and 30 for higher volatility markets.
When the MFI stays above 80, it signals strong buying pressure and possible market overheating; readings below 20 indicate strong selling pressure and potential market oversold conditions. These thresholds serve as risk alerts rather than automatic buy/sell triggers.
Turning points focus on shifts from high to low or vice versa. For example, if price hits a new high but the MFI does not, this “divergence” can be an early sign of weakening bullish momentum; conversely, if price makes a new low but the MFI doesn’t, it may suggest bearish momentum is fading.
During sideways or consolidating markets, the MFI often crosses around the midpoint (about 50), producing noisy signals. In such cases, combine with support/resistance levels or trend lines for better filtering.
In crypto markets, the MFI can help identify entry points and manage risk, but should not be used as a standalone open/close signal.
For trend-following strategies, you might look for the MFI to pull back but remain above 40–50 before turning upward again as a signal to add to positions. In ranging markets, rebounds near 20 or declines near 80—combined with range boundaries—can be used for countertrend attempts.
For example, on Gate’s candlestick chart using BTC/USDT on a 4-hour timeframe with an MFI period of 14: if price approaches previous highs but the MFI fails to make a new high, consider taking profits or tightening stop-losses; if price pulls back to support while the MFI turns up around 30, consider probing with a small position and setting clear stop-losses.
While similar to RSI, which only measures price changes, the MFI includes trading volume, emphasizing the combined effect of price and volume. This makes the MFI more sensitive during periods of high volume breakouts or low-volume retracements.
Compared to OBV (On-Balance Volume), which accumulates volume based on price direction—essentially creating a “cumulative volume line”—the MFI weights “price x volume” for each period before normalizing into the 0–100 range. This makes it more suitable for threshold-based analysis and divergence spotting. The two indicators can be used together for confirmation.
A common misconception is treating the MFI indicator as a single buy or sell signal. Overbought does not always mean an immediate reversal; during strong trends, the MFI can remain elevated for extended periods.
For tokens with low liquidity, large trades can distort volume data and cause erratic MFI readings. Signals are less reliable on newly listed or thinly traded pairs.
Additionally, different platforms may calculate volume differently; exercise caution when comparing across exchanges. Any strategy based on MFI should include stop-losses and position limits to manage tail risks.
The MFI works best when combined with trend filters and price structure tools. Use moving averages for overall trend direction, support/resistance levels for context, and the MFI for timing entries.
On Gate, try filtering with 20/50-period moving averages in choppy markets and confirming volatility ranges with trend lines or Bollinger Bands. When divergences appear in the MFI, validate them using candlestick patterns or volume bars. Place stop-loss limit orders outside critical structure points to control risk.
Step 1: Log in to your Gate account, open your target trading pair’s chart, and select your preferred timeframe (e.g., 1 hour or 4 hours).
Step 2: In the chart’s “Indicators” menu, search for “MFI” and add it to your chart. The default period is usually 14—this can be kept initially.
Step 3: Adjust parameters based on volatility and your trading style. For instance, use thresholds of 70/30 in highly volatile markets or increase the period from 14 to 20 to reduce noise.
Step 4: Set alerts for key price levels and timeframes, or use MFI thresholds as triggers in your strategy along with pre-set stop-loss and take-profit orders.
Step 5: Begin by testing your rules with small positions or paper trading; record samples and gradually scale up as consistency improves.
On shorter timeframes (1–5 minutes), the MFI becomes more sensitive but also noisier, leading to more false signals. Lengthen the period to 14–20 or widen thresholds from 80/20 to 85/15 for stronger filtering.
For medium timeframes (1–4 hours), use period 14 with thresholds of either 80/20 or 70/30 for a balance of efficiency and stability. During strong trending phases, combine with moving averages to filter out countertrend signals.
For small-cap or illiquid tokens, increase the period or raise thresholds to reduce false signals caused by volume spikes. For major assets like BTC or ETH, default settings are often sufficient.
The MFI consolidates both price and volume into a single scale from 0 to 100—ideal for spotting overbought/oversold conditions and divergences but not recommended as a standalone entry or exit trigger. Calculation involves typical price, money flow ratio, then normalization; best results come from combining with trend analysis, structural levels, and robust risk controls. On Gate’s charts, follow step-by-step setup and adjustment guidance—using stop-limit orders and alerts—before scaling up usage. Always remain aware of liquidity differences and data noise; avoid overfitting and all-in positions.
Not necessarily. While the MFI does identify extreme conditions (>80 or <20), prices may continue moving in the same direction after these signals appear. Many beginners enter countertrend trades immediately upon seeing such signals and end up trapped in adverse moves. The correct approach is to combine the MFI with support/resistance levels and candlestick patterns—wait for valid reversal confirmation before entering a trade for higher success rates.
This is because each exchange calculates the MFI using its own real-time price and volume data. Differences in liquidity and trade volumes across platforms lead to varying results. For example, Gate’s trading volumes may differ from those on other exchanges, causing discrepancies in MFI readings. It’s recommended to track a single asset consistently on one platform for coherent data and reliable indicator values.
The effectiveness of MFI can diminish during extreme market events because trading volumes may spike abnormally—causing the indicator to quickly hit extremes while prices keep trending further. In black swan events or sudden news-driven moves (positive or negative), the MFI may give misleading signals. In these situations, rely less on the MFI and focus more on key support/resistance levels and market fundamentals; resume using standard indicators once volatility subsides.
They serve different purposes. OBV tracks cumulative volume based solely on price direction—making it straightforward for identifying long-term trends and ideal for beginners. The MFI factors in both price and volume together to assess capital flows; it’s more sensitive for detecting early shifts in buying/selling power. Beginners should start with learning the MFI, then add OBV as a secondary filter to enhance signal reliability.
The MFI indicator can be displayed as either bars or a line chart. Red bars show net capital inflow during that period (strong buying pressure), while green bars show net outflow (strong selling pressure). Readings above 50 indicate buyers are dominant; below 50 means sellers are dominant. By observing bar heights and colors you can quickly gauge market sentiment: taller red bars reflect increased buyer activity—raising chances of price increases—and vice versa.


