면책 고지: CFD는 복잡한 금융상품으로, 레버리지로 인해 빠르게 손실이 발생할 수 있는 높은 위험을 수반합니다.
CFD의 작동 방식을 이해하고 있는지, 그리고 자금 손실의 높은 위험을 감당할 수 있는지 신중히 고려하시기 바랍니다.
Web Trader MT5
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Dust Transaction
A dust transaction is an amount of cryptocurrency so tiny that it is essentially valueless. It’s too tiny to spend, since the transaction fee required to transmit it would exceed its value. The name derives from the idea of digital dust, the minuscule crumbs left behind in a wallet that you can’t realistically do anything with.
Dust collects from small changes in transactions, airdrops, or fractional amounts remaining after trades. Dust is not only an annoyance, but also a privacy issue.
Some malicious actors intentionally distribute small amounts to wallets, a tactic called dusting, to track and associate addresses when the recipient later attempts to consolidate or spend the crumbs alongside other funds. Trusted exchanges and wallets have built ways to convert or consolidate dust holdings.
Example: After months of activity, a trader discovers multiple minor balances lingering across their exchange account; fractions of various tokens, worth less than a cent each. None of them may be withdrawn, as they would be completely eaten up by network costs.
Some exchanges allow you to convert this dust into that exchange’s native token. So, at least you can get something out of those leftover balances.
DXY$Y
DXY($Y) is a gauge of the value of the dollar against a basket of six major currencies: the euro, Japanese yen, British pound, Canadian dollar, Swedish krona, and Swiss franc. The euro dominates the basket at approximately 57 percent, meaning that DXY is highly sensitive to EUR/USD moves and should not be mistaken for a fully global measure of dollar strength.
It was developed in 1973 when the Bretton Woods system failed, and floating exchange rates became the order of the day. The starting point was 100; anything above 100 indicates the dollar is stronger than initially, while anything below 100 indicates it is weaker.
DXY is the shorthand for dollar direction that traders, macro funds, and policymakers follow, despite their understanding of its limitations. An increase in DXY is likely to put pressure on dollar-priced commodities and on emerging market currencies with dollar-priced debt.
Example: When the Federal Reserve embarked on its aggressive cycle of rate-hiking in 2022, DXY shot up to around 95 and then above 114 without the Fed directly targeting any of those outcomes.
DYOR
DYOR stands for “Do Your Own Research” and is a common expression in crypto and financial circles. It’s both a true piece of advice and a legal disclaimer. It’s a reminder, as real counsel, that no tip, influencer suggestion, or social media thread replaces understanding what you’re truly buying.
Markets are full of people with conflicts of interest, inadequate information, or just plain wrong opinions, and to outsource your convictions to someone else usually ends badly when the trade goes against you.
Often, it’s used as a disclaimer at the end of a post by someone who has just made a forceful recommendation, a technique of officially avoiding accountability while still advancing a stance. The expression is well-intentioned in principle, but all too often misapplied in practice.
Example: A crypto influencer excitedly shares news about a new coin and explains why they think it will go up a lot. At the bottom of the post in small text, they put “DYOR.” The disclaimer does little for followers who invested in the recommendation and then saw the token crash.
This is a lesson that research done before investing is far more beneficial than a two-word disclaimer read after the fact.
E-mini
A smaller version of a futures contract, traded on an electronic exchange.
E-trading Desk
An electronic trading desk. Where the algorithms live. Where most institutional execution actually happens these days, even though the headlines still go to the voice traders shouting on TV. The function spans equities (almost fully electronic), FX (mostly), futures (entirely), and increasingly fixed income (slowly, painfully, with bonds dragging their feet). The setup is the same everywhere: quants who design the algos, execution traders who babysit them, and engineers who keep the pipes running. The economic logic is unsentimental, basis points compound. Example: A pension fund’s e-trading desk handling a €500 million European equity order doesn’t dump it in one go. It slices the order into thousands of children, routes them across lit venues, dark pools, and systematic internalisers using algorithms like VWAP or implementation shortfall, and measures the whole thing against benchmarks at end of day. The benchmark almost always beats the alternative of “send it to a broker and hope.”
Early exercise
The practice of exercising an option before its expiration date.
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