Crypto is a market, not a plan. Before studying an entry signal, decide what instrument you are looking at, when an order could execute, what it could cost, and what would tell you your idea has stopped making sense.
Start by separating two questions that chart screenshots often blur together: What is being traded? and What decision rule is being studied? A spot purchase and a perpetual contract are different positions. The contract’s margin, funding, reference-price and liquidation rules depend on its venue and product. For one venue-specific example, Hyperliquid documents its margining and funding mechanics. Those pages describe that venue; check the contract and account you actually use.
Learn the order before drawing the trade
TradingView’s chart-information documentation identifies the open, high, low and close values available for a chart bar. A candle does not show the order book you would have faced, the order priority, or the price at which your hypothetical order would fill. Hyperliquid’s order-type documentation describes market and limit orders, including time-in-force choices such as good-till-cancelled and immediate-or-cancel. Its order-book documentation describes price-time priority. These are examples from one venue; check the actual product, order controls and stop behavior you use.
Keep the research signal, submitted order and resulting fills as separate events. Record the order type, size, timestamp and status; then reconcile filled quantity, prices, fees and any remainder. A chart signal at a candle close is not a fill price.
One useful beginner exercise is to write the decision in plain language before adding an indicator: “At the end of each completed hourly bar, if condition A is true, the next decision is B. I leave the idea when C occurs.” Specify the timestamp for each decision. If a rule needs a value that only became known after the bar closed, it cannot silently act earlier inside that same bar.
Write down the full cost of a hypothetical trade
Trading costs can include both entry and exit fees, spread, slippage, and, for a held perpetual, funding settled while the position is open. A stop level is a planned exit condition; it is not a promise about the eventual fill price during a gap or a fast market. Record which costs are measured, which are estimates and which are missing. Never replace “unknown funding” with a recorded zero.
For a simple linear position, exposure and account collateral answer different questions. The amount that might be lost at a chosen stop depends mainly on quantity and the price distance to the stop, plus execution and carrying costs. Margin determines how much collateral a venue requires under its rules. Leverage changes the required margin and can make the remaining buffer smaller; it does not make the underlying exposure disappear.
Here is a fictional long spot calculation. The imaginary plan chooses a $4 modeled-loss cap for this exercise; that number is not a suggested amount. Assume an entry at $100 per asset unit, a stop that is filled at $96, and $0.20 per unit for round-trip fees, spread and slippage combined. Modeled risk is $4.20 per unit, so the arithmetic gives $4 ÷ $4.20 = 0.952381 units, or about $95.24 notional at the assumed entry. Under those exact assumptions, loss at the assumed stop plus costs is about $4. A stop is a trigger, not a guaranteed exit price: a gap, partial fill or larger cost can make the actual loss greater. Funding is excluded because this is a spot example; a perpetual study must add its applicable carrying and margin mechanics.
A learning sequence that preserves your assumptions
- Identify the instrument, quote asset, venue, timeframe and source of the data.
- Write one falsifiable question, an entry rule, an exit or invalidation rule and a benchmark.
- Calculate a hypothetical position size from a pre-set risk budget and stop distance.
- Test the rule on dated history with fees and other applicable costs. Keep any parameter search visible.
- Reserve a later chronological period before you look at its results. A holdout can be contaminated by repeated choices made after seeing it.
- Compare a historical simulation with paper practice and forward observation. Neither is a verified live fill.
- Preserve the unsuccessful tests and what would make you stop.
Before interpreting a result, check that each step is observable. If the source, fee, funding or fill rule is missing, preserve the unknown and narrow the conclusion; do not quietly record zero or assume a perfect fill.
SuperQuant is designed as a research and paper-practice workspace. Its included histories are synthetic; a browser workspace is not connected to real exchange balances or live order execution. A result on example data is a demonstration of the workflow, not evidence that a strategy works in a real market.
What to learn next
For perpetual mechanics, read spot versus perpetual futures and funding rates. Before adjusting leverage, calculate the planned loss in the position-size calculator, then use the blank trading-plan worksheet to record your assumptions.
Crypto markets are volatile and venue protections differ across instruments and jurisdictions. This introduction is educational and is not a recommendation to trade or use leverage. Verify the live contract rules yourself. A numerical example is not a forecast.