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คือกลยุทธ์การเทรดประเภทหนึ่งที่เทรดเดอร์ใช้คำศัพท์เฉพาะ นิยาม และความหมายที่กำหนดไว้ล่วงหน้า เพื่อช่วยในการตัดสินใจด้วยข้อมูล โดยมักอ้างอิงคำศัพท์ในวงการการเงิน ตัวเลข และเครื่องมือวิเคราะห์ต่างๆ เพื่อวิเคราะห์ตลาดและวางกลยุทธ์ได้อย่างมีประสิทธิภาพมากขึ้น

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Employment Change

The net change in employment over a period, almost always one month. The most-watched version is US nonfarm payrolls, released the first Friday of every month. The UK has its payrolled-employee data. Canada has the Labour Force Survey. Germany has federal employment statistics. Each is consequential domestically. None matches US payrolls for global market impact. A 100,000-job miss versus consensus moves Treasury yields, stocks, and the dollar within seconds of release. Payrolls is also one of the most-revised major economic series. The number you see Friday morning often gets revised meaningfully over the following months as more complete data arrives. Example: January 2024 nonfarm payrolls printed 353,000 against a consensus 185,000. Two-year Treasury yields jumped 15+ basis points within an hour. Traders pushed back expected Fed cuts. Subsequent revisions trimmed the initial print by a chunk, but by then the immediate market reaction had already played out and re-priced.

Employment Cost Index

A quarterly BLS report measuring the change in employer compensation costs, wages plus benefits. ECI is considered the cleanest US wage measure because it controls for shifts in employment composition that distort simpler average-hourly-earnings figures. The Fed watches ECI closely. Sustained compensation growth above productivity growth feeds into broader inflation, especially in services-heavy economies where labour is the dominant input. The 2022-23 ECI prints, running at the fastest pace since the early 1990s, were a key data point in the Fed’s decision to maintain restrictive policy through that period. Example: Q1 2024 ECI growth came in at 1.2% quarter-on-quarter, or 4.2% annualised, above expectations. Bond yields spiked on release. The Fed’s reaction function had clearly anchored on wage measures, and any acceleration was treated as material to the rate path, regardless of what other data was doing.

Employment Situation Report

The official US monthly labour market report, released by the BLS at 8:30am Eastern on the first Friday of each month. The most consequential recurring economic event in global financial markets. Two surveys feed into one release. The establishment survey produces the nonfarm payrolls headline. The household survey produces the unemployment rate. Together they form the most comprehensive single picture of US labour market conditions. The two surveys often disagree, which is when things get interesting. Example: May 2024’s report showed payrolls rising 272,000 (well above consensus) while the unemployment rate ticked up to 4.0%. Mixed signals. The immediate market reaction was confused, rates moved up on payrolls, equities recovered as the household survey took precedence in subsequent analysis. By the close, the consensus interpretation had landed somewhere in the middle.

Encryption

Converting readable data (plaintext) into encoded form (ciphertext) that can only be decoded with the right key. Without encryption, online banking, credit-card processing, encrypted messaging, and blockchain transactions all collapse. Two main families. Symmetric encryption uses the same key for encoding and decoding, AES is the standard. Asymmetric encryption uses a public/private key pair, where data encrypted with the public key only decrypts with the corresponding private key, RSA and elliptic curve methods dominate. In practice, most secure communications combine both. Asymmetric encryption negotiates a shared symmetric key, then symmetric encryption handles the actual data. Best of both. Example: Connecting to your bank’s website, your browser and the bank’s server perform a TLS handshake using asymmetric encryption to agree on a session key. After that, all subsequent data, login credentials, balances, transaction details, gets encrypted symmetrically with the session key. Anyone intercepting the traffic sees ciphertext only. The session ends, the key gets discarded, and the next visit starts fresh.

End of day order

An order that stays active until the close of the current trading session, then cancels automatically if unfilled. Day orders are the default on most retail platforms. They contrast with good-till-cancelled (GTC) orders that persist across multiple sessions, immediate-or-cancel (IOC) orders that must execute right away, and fill-or-kill (FOK) orders that must execute fully or cancel. The use case is tactical. A trader has a level they want to act on but doesn’t want the order hanging in the market overnight, where unexpected gaps could fill it at an unfavourable price. End-of-day cancellation is a built-in safety mechanism against your own carelessness. Example: A trader places a buy limit at $180 for Apple as a day order. The stock trades between $182 and $184 all session without touching $180. At market close, the order cancels automatically. Next morning, the trader can re-enter it if the level still seems relevant, or revise based on overnight news. The discipline is built into the order type.

Engulfing Pattern

A two-candle reversal pattern. The body of the second candle completely engulfs the body of the first. Bullish engulfing patterns appear at the end of downtrends, small red candle, larger green candle that swallows it, and signal potential upward reversal. Bearish engulfing is the mirror image at uptrend tops. Reliability depends entirely on context. An engulfing candle at a major support or resistance level, with elevated volume, after an extended trend, carries real weight. The same shape in a sideways chop is just noise. Higher timeframes (daily, weekly) produce meaningful signals. Five-minute charts produce signals every twenty minutes, most of which mean nothing. Example: Nifty 50 in late March 2020, near the COVID crash low, printed a strong bullish engulfing on the daily chart with above-average volume. The index didn’t retest the lows. A multi-month rally took it from below 8,000 to above 18,000 over the following 18 months. The pattern wasn’t the cause. It was the moment when the change of regime became visible to anyone reading candles.

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