A Monthly Routine to Review Spread and Slippage Costs

Spread and slippage rarely show up as a single line on your statement, which is exactly why they are easy to ignore. The quoted price you see is not always the price you get, and the gap between the two adds up across dozens of trades. A monthly review turns that vague feeling of "trading costs too much" into a small set of numbers you can actually compare month to month. This guide sets out a routine you can run on Binance, OKX, Bybit or Bitget in under an hour: pull your trade history, separate spread from slippage from fees, log the results in one place, and change one habit at a time. It is not about chasing the cheapest venue; it is about knowing your own numbers well enough to notice when they drift.

Why spread and slippage deserve their own monthly line

Most traders track profit and loss but never isolate execution cost. Spread is the gap between the best bid and best offer at the moment you look; slippage is the difference between the price you expected and the price you actually received. Both are invisible in a P and L figure because they are already baked into your entry and exit prices.

Over a month of active trading, small per-trade gaps compound into a meaningful drag, especially on lower-liquidity pairs and during fast markets. The point of a monthly review is not to eliminate these costs, which is impossible, but to establish a baseline. Once you know your typical spread cost on a given pair, an unusual reading stands out immediately.

Treat this as bookkeeping, not strategy. You are measuring what already happened, not predicting what comes next, and you are not being asked to change your approach based on a single month of data.

Step one: gather the raw data from each exchange

Pick a fixed day each month, ideally the first working day, and export your trade history from the exchange you use. Binance, OKX, Bybit and Bitget all provide order history and trade history in the account area, usually with a date filter and a CSV export option. Check the help centre of whichever platform you use if the export location is not obvious, since menu layouts change.

For each filled order, note the pair, the side, the order type, the time stamp, the intended price and the average fill price. Market orders and stop-market orders are where slippage shows up most clearly; limit orders that filled at or better than your price tell a different story. If you used several order types, keep them in separate groups so you are not averaging apples and oranges.

Also record the fee charged on each fill. Fee schedules differ by pair, by maker versus taker, and by your account tier, so pull the current schedule from the official fee page rather than relying on memory. Note the date you checked it, because schedules are updated from time to time.

Step two: turn the data into three simple numbers

Calculate an average execution gap for the month. For each fill, take the absolute difference between your intended price and your average fill price, then express it relative to the intended price. Averaging this across all fills gives you one number that represents your typical execution cost, separate from fees.

Next, split that gap by order type and by pair. If your average gap is much wider on one pair, that pair may simply have thinner liquidity at the hours you trade. If it is wider on market orders than on limit orders, that is a behaviour pattern rather than a market condition, and it is the easiest thing to adjust.

Finally, compare the total execution cost against the total fees you paid. Seeing which of the two is larger usually reframes the problem. Many traders assume fees dominate, then discover that their own order placement is the bigger leak. Record all three figures in the same spreadsheet every month so the trend is visible.

Step three: change one habit and verify next month

A review that does not change anything is just reporting. Pick a single adjustment for the coming month: for example, using limit orders on the pairs where your gap was widest, or avoiding market orders during the first minutes after a major news event. One change at a time keeps the next month's data interpretable.

Write down the hypothesis before you start, in one sentence, along with the number you expect to move. When you run the next review, you can confirm or reject it. If the number did not move, that is useful information too, and it saves you from repeating an adjustment that does not help.

Keep a stop condition. If a change makes execution worse for two consecutive months, revert it rather than layering on more tweaks. The routine works because it is small and repeatable, not because it is exhaustive.

Risk boundary: South Africa Crypto Guide

Digital assets are volatile and derivatives can amplify losses. This website has no login, wallet connection, deposit form or customer-support chat. A referral link only records attribution; it does not guarantee access, pricing, rewards, approval or investment results. Availability can differ by residence, legal entity and product, so no regional access is assumed from language or branding alone.

Scenario checkpoint

• Choose a fixed monthly review date and put it in your calendar so the export covers a consistent period.
• Export trade history from your exchange account area and save the raw file before editing anything.
• For each fill, record pair, side, order type, time stamp, intended price, average fill price and fee charged.
• Check the official fee page for your platform and note the date you verified the current schedule.
• Calculate average execution gap, then split it by order type and by pair to find where the cost concentrates.
• Write down one habit to change and the number you expect to move, then verify it at the next review.