Algorithmic trading, and where the difficulty actually sits

The strategy fits on a page

Most do. Entry rule, exit rule, sizing rule. If that were the whole job it would be an afternoon, and the reason it is not is that a rule which works on paper meets a market that does not fill instantly, at the price you saw, in the size you wanted.

Execution is where the edge goes

The price you saw is not the price you get. Crossing the spread, moving the book with your own size, and being filled only on the side you did not want are ordinary events, and a strategy with a thin edge loses it entirely to them. This is the gap between a backtest and a live account, and it is usually larger than the edge being traded.

Risk code outnumbers strategy code

How much to risk. What happens on a partial fill. What happens when the venue stops responding mid-position. When to stop entirely. None of it is the idea, and all of it decides whether the idea survives contact with a bad day.

The failure that actually costs everything

Not a wrong prediction, which loses one trade. A system that keeps trading through a condition it was never designed for: a stale feed, a halted market, a fill it did not expect. It then loses in a loop, quickly, usually unattended. Building the stop before the strategy is the only reliable protection.

What to check before going live

That your data is current and that you would know if it were not. Most catastrophic automated losses trace back to a system acting confidently on information that had stopped updating, which is why a feed that reports its own staleness is worth more than a faster one.

Live, right now, on this page

Read from a live market as this page rendered, through a public endpoint that needs no key. Read at 2026-10-18 07:45 UTC; accurate as of that time and not afterwards.

Common questions

See the number itself

Pages that read a live market and show what they read, updated while you look at them.

• Monero price, live, on an asset most exchanges no longer list, a perp on an asset many exchanges no longer list, so the spot it tracks is itself thin.
• Dogecoin price, live, and why its supply matters, an asset with no supply cap, where funding reads as crowding rather than value.
• Perp spread in basis points, live, the execution cost a strategy is measured against.
• HYPE perp price, live, a live perpetual to test an assumption on.
• Funding rate arbitrage, live, a carry trade whose whole edge is a number you can read.
• Platinum price today, live, and why it is not gold, a substitution trade against palladium, which is a rule a program can actually run.
• Visa stock price, live, through the tokenised share, a share moved by court and regulator calendars, which are dates a program can hold.
• Goldman Sachs stock, live, through the tokenised share, a firm whose revenue rises with volatility, which inverts the usual sign on a market selloff.