سلب مسئولیت: CFD ها ابزارهای پیچیده ای هستند و با ریسک بالایی در از دست دادن سریع پول به دلیل اهرم همراه هستند.
باید در نظر بگیرید که آیا می دانید CFD ها چگونه کار می کنند و آیا می توانید ریسک بالای از دست دادن پول خود را بپذیرید یا خیر.
وب معامله گر MT5
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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.
Enterprise value (EV)
A financial metric that measures a company’s total value, including its debt and equity.
Entry Order
A pending order placed in anticipation of a specific price level being reached. The order executes automatically when conditions are met, regardless of whether the trader is at the desk. Three main flavours. Buy limits sit below current market for long entries. Sell limits sit above for short entries. Stop entries (buy stops above market, sell stops below) capture breakouts in the direction of the move. The general logic: traders identify levels where they want to act but don’t want to watch the screen waiting for them. Entry orders let strategies execute regardless of what else is happening, sleep, meetings, dental appointments. The trade-off is that conditions can change between order placement and trigger, and the entry might happen in a context the trader would no longer choose. Example: A swing trader spots ₹2,800 as resistance on Reliance Industries and places a buy stop entry at ₹2,810 with a stop-loss at ₹2,750. The plan is to enter only on a breakout. The order sits unfilled for several sessions. An upside breakout triggers it. The trader’s at lunch when it happens. Doesn’t matter. The position opens automatically and the stop-loss attaches at execution.
EOS
A blockchain platform launched in 2018 by Block.one after one of the largest token sales in crypto history, over $4 billion raised. EOS positioned itself as a faster, more developer-friendly Ethereum alternative. Delegated proof-of-stake consensus. Zero transaction fees for users. Big promises. The execution was a different story. EOS struggled to build durable developer or user adoption. By the early 2020s, the network had fallen well behind Ethereum, Solana, and other competitors in active applications, total value locked, and market cap. Block.one paid a $24 million SEC settlement in 2019 over the token sale. The EOS Network Foundation eventually broke from Block.one to pursue independent development. The whole episode is now a regularly cited cautionary tale about the gap between fundraising success and ecosystem traction. Example: EOS hit an all-time high above $20 in early 2018 during the ICO peak, then drifted lower through every subsequent cycle even as broader crypto markets recovered. By 2024, EOS traded below $1, a 95%+ decline from peak, despite operating a technically functional blockchain. The network worked. Nobody used it.
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