Disclaimer: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage.
You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
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Discount Window
The discount window is the mechanism by which commercial banks can borrow directly from a central bank. (This is usually a last resort.) The name stems from the traditional practice of banks actually displaying assets at a teller window to get loans against them. Today it’s 100% computerized, but the idea is the same – a bank puts up collateral and gets cash in exchange.
There’s a decades-old stigma surrounding access to the discount window. And banks are afraid that getting there would be perceived as a sign of financial weakness, which would cause the very panic they are attempting to prevent.
During the 2008 crisis, the Federal Reserve actually encouraged healthy banks to borrow to help normalize activity and lessen the stigma.
Example: A mid-sized regional bank experiences an unexpected run on one afternoon. Rather than selling assets to a falling market at distressed prices, it goes to the discount window overnight, pledges government bonds as security, and covers the shortfall, buying itself time to deal with the crisis without a fire sale.
Discretionary Trading
Discretionary trading is when a human trader decides all trades, when to enter, when to exit, and how much to risk. It’s not rules-based, it’s judgment-based. The trader looks at the market, takes a position, and acts, using experience, intuition, and a sense of conditions that don’t necessarily fit neatly into a model.
This is in sharp contrast to algorithmic or systematic trading, where a series of rules is programmed to execute automatically without human intervention.
Discretionary traders generally do well in odd or fast-changing circumstances where pattern recognition and adaptation are more important than speed. The shortcoming is consistency – human judgment is also prone to emotion, tiredness, and bias. Example: A macro trader monitors central bank commentary, reviews positioning data, and sees that market sentiment has become highly one-sided in a currency pair.
There would be nothing in a quantitative model that would indicate it, but experience tells them the setup is ripe for a reversal. They create a position to justify that verdict. That’s discretionary trading at its finest.
Disparity Index
Disparity Index is a technical indicator that shows the percentage difference between the current price and a selected moving average. It tells you whether an asset is too far above or below its average, and possibly due for adjustment back toward it. A positive reading suggests that the price is trading above the moving average.
If the reading is negative, it has dropped below. The further the reading deviates from zero, the more stretched the price is considered to be. It is used by traders to identify situations where the price has moved too far in one direction and may be subject to mean reversion.
It is best suited for ranging markets and less beneficial in strongly trending conditions, as lengthy readings may persist for extended periods.
Example: A trader notes that the Disparity Index for a commodity is +12 %. This means that the price is 12% above its 20-day moving average. They interpret this as a warning that the rise is overstretched, alongside other indicators of fatigue in the price movement, and start looking for a chance to take profits rather than add to the position.
Distributed Consensus
Distributed consensus is the process by which a network of independent people, without a central authority, agrees on a single version of the truth. This is the system that determines which transactions are valid and which ledger version is correct in blockchain networks. There is no central server holding the official record; the network has to agree.
This is achieved using consensus techniques such as proof of work or proof of stake.
Everybody follows the same rules, validates transactions, and confirms them by consensus. The beauty of distributed consensus is that it makes the system tamper resilient. It becomes too expensive at scale to get the majority of the network to switch a historical record simultaneously.
Example: When a bitcoin transaction is sent to the network, thousands of nodes independently validate it against the same criteria. When enough of them agree that it is valid and it is included in a confirmed block, that transaction is essentially settled. Not because some authority said it is, but because the network reached consensus.
Distributed Ledger
A distributed ledger is a record of transactions or data that is shared, synced, and maintained simultaneously across multiple locations, institutions, or people, rather than in a single central database managed by a single entity. Each person in the network has a copy, and when something is updated, it’s updated on everyone’s copy at the same time.
Distributed ledgers are a popular technology, with blockchain being the most widely known type; however, not all distributed ledgers are blockchains. Unlike a regular database, the key difference is the lack of a central administrator. No single party can change the record on its own, making the system more transparent and harder to tamper with. Financial institutions have been experimenting with distributed ledger technology for applications ranging from cross-border payments to securities settlement, attracted by the promise of lower reconciliation costs and settlement times.
Example: Currently, if two banks settle a cross-border transaction, they reconcile the records independently. This takes time and leaves the possibility for discrepancy. A shared distributed ledger would give both banks the same real-time record of the transaction, removing the reconciliation phase and reducing settlement time from days to minutes.
Diversification
A golden rule in trading practice: to spread your capital across different asset classes, industries, or geographic regions to minimise the impact of one asset’s performance on your overall portfolio.
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