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How to Find the Average Entry Price of Multiple Binance Futures Orders?
Binance Futures calculates the average entry price as a base-asset-weighted mean—e.g., 0.5 BTC at $62,400 and 1.2 BTC at $63,150 yield an avg. of $(0.5×62400 + 1.2×63150)/(0.5+1.2)$ ≈ $62,947.06—updated in real time, excluding fees and funding.
Sep 30, 2026 at 04:00 pm
Understanding Position Averaging in Binance Futures
1. Binance Futures calculates the average entry price by weighting each executed order’s price by its corresponding contract size.
2. The system aggregates all open orders that contribute to the same position—long or short—and excludes closed or partially filled orders from the computation.
3. Contract size is measured in base asset units, not USDT value, meaning a 0.5 BTC long at $62,400 and a 1.2 BTC long at $63,150 are weighted by 0.5 and 1.2 respectively.
4. The platform does not round intermediate values during calculation; precision extends to eight decimal places for BTC-based contracts and six for ETH-based ones.
5. Manual recalculations using Binance’s trade history CSV export often deviate slightly due to hidden fee adjustments embedded in the average price field shown on the interface.
Locating the Average Entry Price on the Interface
1. Navigate to the Futures dashboard and select the specific symbol tab where the position is active.
2. Look directly beneath the position size display—the average entry price appears in real time next to “Avg. Entry Price” in bold green font.
3. Hovering over the value reveals a tooltip showing the exact timestamp of the last update and whether it includes only filled orders or accounts for partial fills.
4. If multiple positions exist across isolated and cross-margin modes, each displays its own average independently; no cross-mode aggregation occurs.
5. The value updates instantly upon execution of any new order that modifies the net position size, including reduce-only orders that shift the weighted center.
Impact of Funding Fees and PnL Adjustments
1. Funding fees do not alter the average entry price—they affect only the unrealized PnL and margin balance.
2. Realized PnL from partial closes reduces position size but leaves the remaining average unchanged unless subsequent orders follow.
3. Liquidation events reset the position entirely, clearing both the average and accumulated PnL without carryover.
4. Negative funding payments accumulate as debt against equity but never retroactively adjust historical fill prices used in averaging.
5. Mark price divergence triggers auto-deleveraging only when margin ratio breaches thresholds—it has zero influence on the arithmetic mean underlying the displayed average.
Common Misinterpretations Among Traders
1. Some users assume the average reflects time-weighted execution speed, yet Binance applies pure volume weighting with no temporal decay factor.
2. Others conflate this metric with break-even price, which incorporates commission and funding accruals—not just entry levels.
3. A frequent error involves exporting trade history and summing USD-equivalent values instead of base-asset-weighted prices, leading to systematic overestimation.
4. Traders sometimes overlook that stop-market and trailing-stop executions feed into the average if they result in new position expansion rather than reduction.
5. The presence of leverage level changes post-entry does not recompute the average—leverage affects liquidation price, not entry baseline.
Frequently Asked Questions
Q: Does Binance include fees in the average entry price calculation?A: No. Transaction fees are deducted from margin but excluded from the numerator and denominator of the average price formula.
Q: Can I view the individual fill prices that compose the average?A: Yes. Access the “Trade History” tab under the Futures interface, filter by symbol and “Position Open”, then sort chronologically to reconstruct the sequence.
Q: What happens to the average if I reverse a position—go long after being short?A: Binance treats it as two separate positions. The original short average remains intact; the new long starts fresh with its first fill price.
Q: Why does my average entry price differ from the simple arithmetic mean of my order prices?A: Because it is a volume-weighted average—not an unweighted mean—so larger orders dominate the final value disproportionately.
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