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
전부
Electronic Market Maker
A firm that provides continuous two-sided quotes on electronic venues, profiting from the spread. The modern ones aren’t banks. They’re specialised non-bank firms, Citadel Securities, Virtu, Jump Trading, Jane Street, XTX, DRW, that have taken massive share from traditional bank market makers. Faster systems, better tech, no legacy compliance overhead, narrow focus. The economics depend on managing inventory risk while flipping positions in milliseconds. There’s no directional view. The edge comes from technology, market microstructure expertise, and risk management. The position is held just long enough to lay off against another order. Example: Citadel Securities executes a meaningful fraction of all US retail equity orders through wholesale market-making. When you place a market order through Robinhood or E*TRADE, there’s a high chance Citadel takes the other side, gives you a small price improvement over the public quote, and turns over inventory faster than you can refresh the page. The retail customer wins on price. Citadel wins on volume.
Elliott Wave Theory
Elliott Wave Theory suggests that financial markets follow a 5-3 wave pattern: five waves in the trend’s direction and three waves in the opposite direction.
Elliott Wave Theory (EWT)
Ralph Nelson Elliott’s 1930s framework, claiming markets move in repeating wave patterns driven by mass psychology. The basic structure: a five-wave impulsive move in the trend’s direction, followed by a three-wave correction against it. Each wave contains smaller waves of the same shape, fractal nesting all the way down. Practitioners label the waves obsessively (1-2-3-4-5 for impulses, a-b-c for corrections) with strict rules about which wave can be longest, how deep retracements can run, and how patterns nest. Critics call it unfalsifiable. The labels can always be revised after the fact, which means the theory “works” because it’s flexible enough to accommodate any outcome. Defenders say it provides structure for thinking about exhaustion and reversal. The truth probably depends on the practitioner. Example: Robert Prechter, the most famous modern Elliott practitioner, called both the 1987 crash and the 2000 dot-com top using wave analysis. Impressive. He also called for major bear markets through most of the post-2009 bull run that didn’t materialise on his timeline. The framework has predictive ambition. It’s also early when it’s not just wrong.
Elliptic Curve Cryptography
A family of cryptographic methods built on the mathematical structure of elliptic curves over finite fields. Shorter keys than RSA, equivalent or better security. Mobile devices, embedded systems, and blockchains all rely heavily on ECC because their environments don’t tolerate fat keys gracefully. The security depends on the elliptic curve discrete logarithm problem being computationally infeasible. Given two points on an appropriate curve, recovering the integer that relates them through curve operations would take longer than the age of the universe with current hardware. ECC underpins ECDSA (signatures), ECDH (key exchange), and a growing share of modern cryptographic primitives. Example: Bitcoin uses ECC on the secp256k1 curve to generate every address, sign every transaction, and verify every spending operation. The same mathematical structure secures roughly $1 trillion in assets at current prices. The curve’s parameters fit on a single page. The security comes not from obscurity but from genuine mathematical hardness.
Emerging Market (EM)
A loose category of countries, neither fully developed (US, Western Europe, Japan, Australia) nor classified as frontier or least-developed. The label is a finance industry construct, not an economic classification, and different index providers use different lists. MSCI’s EM index includes 24 countries spanning Asia (China, India, Korea, Taiwan, Indonesia), Latin America (Brazil, Mexico, Chile), EMEA (South Africa, Saudi Arabia, Turkey, Poland), and others. The category emerged in the 1980s as developing economies became investable for foreign capital. EM as an asset class shares some broad characteristics, higher growth potential, higher volatility, currency risk, weaker institutions, dependence on global liquidity. But the heterogeneity within is enormous. South Korea looks more developed than some MSCI World members. Egypt looks closer to frontier. Example: A typical 60/40 institutional portfolio allocates 5-10% to EM equities through MSCI EM trackers, plus separate sleeves for EM hard-currency and local-currency debt. The category has underperformed developed markets for most of the 2010s and 2020s. Within EM, individual country returns have varied so wildly that the aggregate number tells you almost nothing about any specific position.
Empire State Manufacturing Index (ESMI)
A monthly survey of manufacturing activity in New York State, published by the New York Fed around the 15th of each month. Above zero means expansion versus the previous month. Below zero means contraction. The headline gets attention. The sub-indices, new orders, shipments, employment, prices paid, forward expectations, get more attention from anyone reading the report carefully. Empire State releases first among the regional Fed manufacturing surveys. It’s treated as a directional cue for what Philadelphia, Richmond, Dallas, and Kansas City Fed surveys, plus the national ISM, will show later in the month. Sometimes the cue holds. Sometimes the regional surveys diverge. Example: A sharply negative -20 print in early 2023, after months hovering near zero, prompted economists to lower their Philly Fed and ISM forecasts. Bond yields fell modestly on the day. The follow-on releases mostly confirmed the directional signal, though the magnitudes varied.
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