Risk disclosure

Read this page before your first dollar

Trading crypto assets and other financial instruments can consume part or all of your capital. The nine risks below are the ones that actually appear in the life of an automated trading account, each with a practical recommendation. This is the most important page on the site.

General warning: past performance does not predict future performance. No tool, automation included, removes the risk of loss. Commit only funds whose loss would not unsettle your life.

1. Introduction and general warning

Crypto trading is speculative: prices swing widely and quickly, and losses arrive with the same speed as gains. Before you trade, fix your objective, your timeframe and your maximum acceptable loss, in writing. Automation executes rules; it does not convert uncertainty into certainty, however good the engine.

One extra cut that saves grief: separate your money into three layers, emergency reserve, goals for the year, and risk capital. Only the third layer ever enters trading. The split has

Two further notes complete the frame. Correlation deceives in a crisis: the "diversified" crypto portfolio usually falls as one when the market stresses, because everyone runs for the same exit at once. And an asset's history is context, not commitment: a previous high obliges the price to nothing, and sizing positions from old peaks is one of the most reliable ways to oversize them.

an immediate psychological effect: with the month's bills out of reach, a red dashboard becomes information instead of an emergency, and calm decisions cost less than panicked ones.

2. Market risk: volatility

Volatility is the size and speed of price movement. An asset can add ten percent before lunch and hand it back after dinner. A loss becomes real when you exit at a bad moment, and the engine's rules do not waive that: they follow a script in a market that signs no contracts.

Practical recommendation: set the share of your total savings assigned to this asset class and treat that ceiling as non-negotiable, even mid winning streak. Weigh price risk against time risk as well: an asset may recover in months, but capital with a deadline cannot wait for the recovery. And remember that diversification fails precisely in crises, when "uncorrelated" crypto assets fall together because everyone runs for the same exit.

3. Liquidity risk and slippage

Liquidity is the ability to exit without pushing the price. In thin markets or panics, an order fills worse than the screen suggested: that gap is slippage, and it grows with the size of your order relative to the market.

Practical recommendation: the classic sign of a shallow market is your own order moving the quote. If that happens, trade a smaller size or pick a deeper asset, and avoid executing in the first minutes of violent moves, when prices jump entire levels. Slippage also charges you on the way out: in the rush to sell, the remaining buyer demands a

A practical sizing corollary follows from slippage: the exit deserves more planning than the entry. Anyone can buy quietly in a calm market; getting out of a crowded one is where size punishes, which is why the module's strategies carry per-position limits by design rather than leaving them to judgment in the moment.

discount, and that discount comes off your result.

4. API and integration risk

Automated trading talks to exchanges through API keys. A wrong configuration, an exposed key or instability on the other side interrupts the operation or opens a gap. We mitigate with minimal scopes, IP pinning and immediate revocation, as detailed on the security page.

Treat key hygiene as routine rather than event: a monthly review of what is active, a revocation test on one old key and a permission check on the exchange side. Ten minutes a month eliminates the most common family of incidents in automated accounts, the forgotten key with wide permissions. And remember the external dependency: an exchange pausing withdrawals for maintenance leaves the strategy waiting even with our platform fully operational.

5. Counterparty and custody risk

Funds typically sit with exchanges and third-party providers. Financial, technical or legal trouble at any of those parties affects access to your assets. Spreading across providers reduces the concentration, and each provider's track record should weigh on the choice.

An objective selection test: depth of the order book, response time on busy days and a public incident history. An exchange untested by stress is an unknown precisely on the worst day, which is exactly when you find out whether the choice was a good one.

6. Operational risk

Software faults, infrastructure outages, network drops or provider problems delay execution at the exact moment it matters. The platform runs redundancy, but no system is immune to failure.

Distinguish short interruptions from long ones: a few minutes rarely change an outcome; hours can leave a position without its protective order. Incidents are announced with an estimated duration, and the account history lets you reconstruct what executed inside the affected window.

7. Cybersecurity and phishing

The preferred target is always the person: emails imitating the platform, cloned sites, fake offers on social media. A reused password is the cheapest way in for an attacker. The basic, effective defence: 2FA on, one unique password per service, and a glance at the official domain before typing anything.

Practical recommendation: an urgent message asking for a password or code is by definition a scam; the platform will never ask. Forward it to [email protected].

8. Model and automation limits

The engine recognises historical patterns; markets can break patterns without notice. AI does not foresee the unforeseeable, and no bot guarantees results. The volatility brake reduces exposure in storms but cannot erase what the violent stretch has already taken.

Another limitation without varnish: models can be wrong in series when the market regime changes, until the new context is absorbed. History really delivers frequencies, not promises, and those frequencies quietly expire when the regime turns, which is why the dashboard shows performance per strategy rather than a single balance: seeing which strategy stopped fitting is actionable information, and pausing it takes one click.

9. Service availability

Crypto markets run 24/7; platforms need maintenance. Updates and external events can take the service down for windows at a time, during which the dashboard is unreachable and settings frozen, while active strategies keep following their rules.

Practical recommendation: scheduled maintenance is announced in advance inside the platform. Read the notices; surprises mix poorly with money.

10. Before you start

Four immediate actions. Understand the strategy: ask your manager to explain what each one does and where it trades. Fix your maximum loss: write the number down before depositing. Turn on 2FA: day one, no exceptions. Supervise: dashboard plus weekly report; adjusting when results drift from plan is routine, not failure. And revisit this page every six months: with real experience, items that read as theory gain weight, and limits left behind get refreshed.