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พจนานุกรมการเทรด

คือกลยุทธ์การเทรดประเภทหนึ่งที่เทรดเดอร์ใช้คำศัพท์เฉพาะ นิยาม และความหมายที่กำหนดไว้ล่วงหน้า เพื่อช่วยในการตัดสินใจด้วยข้อมูล โดยมักอ้างอิงคำศัพท์ในวงการการเงิน ตัวเลข และเครื่องมือวิเคราะห์ต่างๆ เพื่อวิเคราะห์ตลาดและวางกลยุทธ์ได้อย่างมีประสิทธิภาพมากขึ้น

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Egyptian Pounds (EGP)

Egypt’s currency. Issued by the Central Bank of Egypt and devalued repeatedly over the past decade through a sequence of forced adjustments, 2003, 2016, 2022, 2023, and most dramatically in March 2024. The pattern is always the same. Egypt depends on dollar inflows from tourism, the Suez Canal, remittances, and external borrowing. When those inflows tighten, the Pound runs out of room. Reserves drain. Importers can’t access dollars at the official rate. A parallel market emerges. The gap widens. Eventually the central bank gives up defending the rate and lets it move, often by 50% or more in a single session. Example: In March 2024 the Pound fell from around 30 to over 50 per USD overnight, accompanying an IMF programme expansion. Importers who’d spent over a year unable to pay foreign suppliers at the official rate suddenly had functioning trade finance again. Imported goods spiked. The pain was front-loaded. The alternative, keeping the broken rate and watching the parallel market run to 80, was worse.

EIA Crude Oil Inventories

A weekly report from the US Energy Information Administration showing the change in crude stockpiles at commercial firms. Released every Wednesday at 10:30am Eastern, and one of the most market-moving recurring events for energy traders. The number comes as a change versus the prior week. Consensus expectations are published in advance. Bigger-than-expected build (more oil sitting in storage)? Crude prices fall. Bigger-than-expected draw? Crude rises. The reaction is often violent and immediate. The release also includes data on gasoline, distillate, and Cushing-specific inventories, Cushing being the Oklahoma hub where WTI physically settles. Traders parse all of it. Example: Consensus calls for a 2-million-barrel build. The actual print shows a 5-million-barrel draw. WTI moves $2-3 per barrel within minutes as positioning adjusts. By the close, traders have absorbed the broader picture and the move usually settles into something more measured. The first reaction is the noisy one.

El Salvador Colon (SVC)

El Salvador’s former everyday currency. Replaced by the US dollar on 1 January 2001 at a fixed rate of 8.75 colones per dollar. Technically still legal tender. Practically, hasn’t circulated in 25 years. Banknotes are collectibles now. Dollarisation gave El Salvador imported credibility from the Fed and stable inflation, in exchange for any independent monetary policy whatsoever. In 2021, Bukele added Bitcoin as legal tender, which got global attention. The IMF eventually got involved, and by January 2025 Bitcoin’s status had been quietly scaled back, voluntary acceptance only, public-sector involvement restricted. The dollar remained, as it had since 2001, the actual money of El Salvador. Example: A Salvadoran small-business owner pricing goods in 2024 thinks in dollars. Full stop. The Colon survives in legacy contracts, numismatic collections, and the mental arithmetic of grandparents who still convert dollar prices back into colones the way some Indians still calculate in lakhs.

Electronic Brokering Services (EBS)

A major FX ECN, founded in 1990 by a consortium of large banks fed up with paying voice brokers. Now owned by CME Group following the 2018 NEX acquisition. EBS dominates spot trading in the major pairs anchored by the euro, yen, and Swiss franc. Refinitiv Matching (the old Reuters Matching) historically held the edge in commonwealth pairs, GBP, AUD, CAD. The two platforms split the interbank pie roughly along those lines, though the boundaries have softened over the years. EBS prices are foundational. They feed into countless other platforms, either directly or through reference. When you see a EUR/USD quote anywhere in the world, there’s a high chance the underlying price formation happened on EBS. Example: A bank trading EUR/JPY on EBS sees a centralised order book showing bids and offers from dozens of counterparties globally. Real-time updates. Anonymous matching engine. Standard FX settlement on the back end. The whole stack works because everyone trusts the same platform.

Electronic Direct Trading:

A model where a client gets quotes directly from one bank and executes against that bank’s price. Single-counterparty execution. The bank is the liquidity provider, taking the other side onto its own book. Citi’s Velocity, JPMorgan’s Athena, Deutsche Bank’s Autobahn, these are direct-trading platforms. Fast execution, integrated post-trade services, deep credit lines, single relationship. The trade-off is obvious: you only see one bank’s price. Aggregation platforms would show you ten. So why do clients use direct platforms? Because for relationship-driven flows or specific products where the bank has unique expertise, direct trading wins on dimensions other than headline price. Example: A corporate treasurer hedging $50 million of euro receivables uses their primary FX bank’s direct-trading platform. The spread is slightly wider than they’d get on an ECN. In exchange, the hedge integrates cleanly with the company’s existing credit facility, settles through familiar plumbing, and gets reported on familiar formats. The treasurer optimises for total workflow cost, not bid-ask alone.

Electronic Indirect Trading

The opposite model. A client accesses aggregated liquidity from multiple banks and non-bank market makers through a single platform, with quotes competing in real time. FXall, FXSpotStream, Currenex, 360T, these are aggregators. The platform itself doesn’t take principal risk. It just routes orders to whoever offers the best price at the moment of execution. Asset managers love this model. Hedge funds love this model. Sophisticated corporates with serious execution teams love this model. The competitive pressure from aggregation has been one of the main forces compressing FX spreads over twenty years. Example: A large asset manager executing $200 million of GBP/USD through 360T might see streaming quotes from 15 different liquidity providers. The platform routes to whoever shows the tightest price at that millisecond. Execution-quality reports track performance against arrival price and benchmarks. The asset manager’s traders never see most of the providers’ names, they see a single composite book.

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