Disclaimer: CFD’s zijn complexe instrumenten en hebben een hoog risico van snel verliezen van geld als gevolg van hefboomwerking.
U moet overwegen of u begrijpt hoe CFD’s werken en of u het zich kunt veroorloven om het hoge risico te nemen om uw geld te verliezen.
Web Trader MT5
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Hardware Wallet
An electronic hardware device designed to store cryptocurrency private keys offline on a secure chip, which signs transactions internally without ever exposing the keys to an attached computer or to the internet. Users start transactions from a connected device, verify them on the hardware wallet’s physical screen, and the signed transaction is broadcast the private key never leaves the device.
Hardware wallets protect you from remote hacking, malware and keyloggers. They do not protect against physical theft, loss or device failure, which is why best practice is to have a secure backup of the recovery seed phrase in a completely separate physical location.
Popular manufacturers are Ledger and Trezor. Hardware wallets are the gold standard for individual self-custody of large cryptocurrency holdings.
Example: Investor transfers large cryptocurrency holdings from a centralized exchange to a hardware wallet. The private keys now reside only in the secure chip of the physical device. Even if the investor’s computer is completely compromised by malware, the attacker cannot access funds without also physically having and unlocking the hardware wallet, shrinking the entire attack surface to physical security instead of digital.
Harmonic price patterns
Harmonic price patterns are geometric patterns based on Fibonacci ratios like ABCD, butterfly, crab, and shark patterns.
Hash Function
A mathematical algorithm that takes an input of any length and produces as output a fixed-length hash unique to that particular input. If you change anything, no matter how small, the hash is totally different. The process is one-way. Given a hash, it is computationally infeasible to reconstruct the original input.
Cryptographic hash functions play many important roles in blockchain. Each block contains the hash of the previous block, creating a linked-chain structure that changes any historical block and every subsequent hash, making tampering immediately obvious. Proof-of-work mining involves finding an input (the nonce) that produces a hash below a target value, which is deliberately computationally intensive.
Bitcoin uses SHA-256, Ethereum uses Keccak-256. Both generate 256-bit outputs regardless of the input size.
Example: A block of thousands of transactions is processed with SHA-256, producing a unique 256-bit hash. If someone tried to change one transaction the hash would be completely different and not the same as what the next block recorded. This would then propagate through to every other block . This would make it immediately obvious to any node checking if the chain is valid or not that it had been tampered with.
Hash Per Second
A Unit of measure for the speed of a mining device or network hashing work. It is measured in multiples of kilohashes (kH/s), megahashes (MH/s), gigahashes (GH/s), terahashes (TH/s), petahashes (PH/s), and exahashes (EH/s) per second. The total hash rate of the Bitcoin network is measured in exahashes, which are billions of billions of calculations per second.
The more hashes a miner can generate per second, the more likely they are to find the winning nonce that produces a valid block hash below the current network target. It serves as the baseline for mining hardware comparisons and overall network security.
Newer generations of ASICs produce significantly higher hash rates at a lower energy consumption, making hash-per-joule efficiency as important as raw speed for mining profitability.
Example: A miner comparing two ASICs sees that Model A is providing 100 TH/s at 3,000 watts and Model B is providing 150 TH/s at 3,500 watts. Model B produces more hashes in absolute terms, but the relevant metric for long-term profitability is the hash-per-joule ratio: that ratio determines the electricity cost per unit of mining output and thus the margin at any given coin price.
Hash Rate
The combined computational power of all miners on a Proof of Work blockchain. Measured in hashes per second. The main indicator of network security for Bitcoin is the hash rate: the higher it is, the more expensive and in fact impossible it is to make a 51% attack, seize control of more than half of the computing power of the network.
During profitable mining, more miners deploy hardware to earn block rewards and increase the hash rate. When rewards are reduced or energy costs increase relative to coin prices, the hash rate decreases. The prolonged declines suggest that miners are capitulating by turning off their rigs at a loss.
Hash rate data is tracked as a proxy for miner sentiment. A rising hash rate suggests confidence in future profitability. A falling hash rate may precede the selling of coin reserves to cover operating costs by miners.
Example: Bitcoin network hash rate falls sharply as big price drop pushes marginal miners offline. The remaining miners get a proportionally larger share of block rewards. The network difficulty adjusts downward at the next epoch, which reduces the amount of computation required per block making mining profitable again for surviving miners, and showing the protocol’s self-correcting equilibrium mechanism operating exactly as intended.
Hawk/hawkish
A hawkish central banker, analyst, or policymaker is one who is more concerned with the inflation floor than growth and employment and thus prefers higher rates and tighter monetary policy, willing to trade some slow growth for price stability. Doves are on the other side: more interested in employment, less sensitive to lower rates.
There are degrees of Hawkishness. A modestly hawkish statement conveys caution and readiness to act, but not immediately. If the central bank pivots in an aggressively hawkish direction, in a few moments you could see the bond, the currency and the equity markets repricing, all at once, in a way that is different from what they had expected.
Some market participants monitor individual central bankers and gauge their preferences as hawks or doves to figure out which way they are going to vote, and how a committee’s makeup will affect the policy signal.
Example: In a speech, the Federal Reserve Chair hints at higher inflation numbers and that further rate hikes are possible. The markets see it as hawkish, as the Treasury yields, the dollar’s strength against the major currencies, and equity indices’ drops in value are all following the same shift in communication, not a policy change.
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