Explore Hub: Risk Management and Execution
tick size and step size errors look minor until the market starts moving. Then they become one of the fastest ways a clean crypto entry turns into rejection, rounding drift, or a worse fill than the trader intended. Many execution mistakes that feel like “bad exchange behavior” are really precision problems the trader did not notice before clicking.
CryptoSigy readers should treat precision settings as part of market structure. Tick size controls the allowed price increments. Step size controls the allowed quantity increments. When those rules differ from pair to pair, copying the same order workflow across instruments becomes risky.
Tick size changes the real price you can quote
If a market only allows prices in fixed jumps, your intended entry may not actually exist. A trader might think they are bidding just under the best ask, but the exchange rounds that quote into a different level. In quiet conditions the difference feels small. In fast conditions it can be the gap between passive entry and immediate rejection.
This is why tick size matters most when the edge is thin. If you are trying to rest a maker order at a very specific level, one step of rounding can turn a disciplined entry into a taker-style chase or a missed trade.
Step size changes the position you really take
Quantity rules create a second layer of hidden adjustment. A trader can calculate a perfect dollar risk, then discover the position size must be rounded up or down to the nearest allowed step. That means the final notional, stop distance, and fee load may differ from the original plan even if the price is valid.
On larger, highly liquid pairs this difference may be manageable. On smaller contracts or newly listed assets, step size can materially distort the trade. A position that was meant to be small can become awkwardly large after rounding.
Precision mistakes often collide with post-only logic
Precision problems become especially expensive when paired with post-only orders. A quote that appears passive on your screen may round into a crossing price once tick rules are applied. The order gets rejected, and the trader thinks volatility caused it. Sometimes volatility did. Sometimes the real cause was invalid precision.
That is why good execution journals should separate spread movement from precision failure. If you do not know which one happened, you cannot fix the process.
Templates become dangerous across multiple pairs
Many traders build one workflow and reuse it across majors, mid-caps, and event-driven listings. That is where step size and tick size quietly punish them. The same order template that behaves cleanly on BTC or ETH may behave badly on a thinner pair with different increments, minimum notional rules, and different rounding behavior.
Reusable systems only work when the venue rules are checked per instrument. Otherwise the trader is standardizing the habit, not the execution quality.
Pre-trade checks should be short and mechanical
The fix is not complicated. Before a fast entry, confirm the pair's price precision, quantity increment, and minimum order value. Decide whether the order should be passive, aggressive, or skipped if the rounded version no longer fits the plan. This takes seconds and prevents a surprising number of bad fills.
For smaller venues or fresh listings, it is worth checking these settings even more carefully because exchange rule differences tend to be wider exactly where slippage risk is already higher.
Journal the rounded trade, not the imagined trade
A lot of execution review goes wrong because traders log the price and size they intended instead of the price and size the venue actually accepted. That hides recurring precision errors. Over time it creates the illusion that the strategy is fine while the execution keeps leaking edge.
CryptoSigy readers should record the actual rounded quote, the accepted size, and whether the rounding changed the trade category. A small mismatch that happens repeatedly is not noise. It is a process bug.
