For crypto futures algo traders

By the AKQX QuantumTrade team · Educational content, not investment advice. This describes what the software does and does not do. It makes no claim about trading results.

The problem

Futures magnify everything. A rule with a small edge on spot can be wrecked by funding, fees and a leverage setting chosen casually. And because the market never closes, an unattended strategy can compound a bad run overnight.

Most of the damage in automated futures trading comes from sizing, costs and a strategy that keeps running after its conditions have gone, rather than from a bad entry. Those are exactly the things a backtest on cost-free data hides.

So the useful question is not whether the entry looks good. It is whether the whole system survives costs, margin and a bad week, and you want to find that out before real money is involved.

The workflow, step by step

1. Backtest with realistic costs. Estimated fees and slippage are deducted from every simulated trade, on timeframes from 1 minute to 1 day. A free account runs 10 backtests a month, one symbol and one timeframe per run.
2. Size from the stop. Position size follows the stop distance and a fixed risk fraction, and is fee-aware. A maximum leverage cap applies, and a fee-to-risk breaker refuses trades where cost is large next to the risk.
3. Paper trade with margin. Paper trading uses a separate wallet and broker-style margin, so a position consumes margin the way it would on a real account.
4. Switch the guards on. Stop after N losses with a cool-down, a daily loss cap, a minimum stop distance, trailing stops and partial take profit apply in paper and live alike.
5. Compare the drift. Look at the gap between backtest and paper trade count and average result. A large or unexplained gap means the backtest was flattering the rules.
6. Decide about real money. If you choose, connect your own exchange account with read and trade permission only, never withdrawal. AKQX reconciles real trades against the exchange's own records and sends Telegram alerts for stale data, rejections and margin problems.

What AKQX provides for this

• Backtests that report expectancy, profit factor, maximum drawdown, MAE and MFE, and a 350-point scorecard with automatic rejection.
• Paper trading per market with margin, then real execution on crypto through your own exchange account. AKQX holds no funds and never needs withdrawal permission.
• Risk controls described on the risk management page, applied in paper and live.

What AKQX does not do

• Live (real-money) algos are marked rolling out across the paid plans, so check the pricing page for what your plan includes today.
• Fee and slippage figures are estimates. Real fees, funding and fills can differ, which is why paper trading comes first.
• Controls bound some ways of failing. They do not prevent loss, and they cannot protect against gaps, outages or a strategy that was simply wrong.
• Crypto products are unregulated and can be highly risky, and there may be no regulatory recourse for any loss.

Mistakes to avoid

• Choosing leverage before choosing a stop.
• Backtesting without costs, then trading a strategy whose edge was smaller than its fees.
• Leaving a strategy running with no loss cap and no alerts.
• Enabling withdrawal permission on an API key.

Questions about crypto futures algo traders

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