Disclaimer: I CFD sono strumenti complessi e comportano un alto rischio di perdere denaro rapidamente a causa della leva finanziaria.
Dovresti considerare se comprendi come funzionano i CFD e se puoi permetterti di correre l’alto rischio di perdere il tuo denaro.
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Glossario del trading
Il glossario di trading si riferisce a un tipo di strategia in cui i trader utilizzano un insieme predefinito di termini, definizioni o concetti per prendere decisioni consapevoli. Spesso include gergo specifico del settore, metriche finanziarie e strumenti di analisi per navigare efficacemente nei mercati.
L
Limit order
An order placed at a desired price instead of at a current price.
Linear Regression Channel
A linear regression channel is a technical-analysis tool that draws the statistical line of best fit through a run of prices and then adds parallel lines above and below it to form a channel. The centre line is the linear regression itself, the straight line that minimises the distance to all the price points in the chosen period, and it represents the underlying trend stripped of noise.
The outer lines are usually set a fixed number of standard deviations away, marking how far price has typically strayed from that trend. Traders often read the channel two ways: the slope of the centre line shows the trend’s direction and strength, while touches of the outer bands suggest prices may be extended and could revert toward the centre line, although in strong trends price can stay near or move beyond a band.
Example: A trader applies a linear regression channel to an uptrending stock and, when the price runs up to the upper band, treats it as temporarily overextended, waiting for a pullback toward the centre line before considering a fresh long rather than chasing the move higher, recognising that a pullback is not guaranteed.
Liquid market
A liquid market is one where you can buy or sell quickly, in size, without moving the price around much. It is defined by depth and participation: lots of buyers and sellers, tight bid-ask spreads, and enough resting orders that a normal trade gets filled near the last price rather than slipping to a worse one. Liquidity is one of the most underrated features of a market market until it suddenly disappears.
In a liquid instrument, getting in and out is relatively low-cost and can often be executed quickly, which is why the most heavily traded FX pairs and major stock indices are heavily traded. The opposite, an illiquid market, tends to have wide spreads and prices that lurch when anyone trades meaningful size. Liquidity also tends to evaporate exactly when it is most needed, in a panic.
Example: A trader can buy ten million euros of EUR/USD, one of the world’s most liquid currency pairs, and may have limited price impact under normal market conditions, whereas the same order in a thinly traded emerging-market pair might shift the rate several pips against her before it fills.
Liquidity
Liquidity is an asset’s ease of conversion into cash without losing value, assessed by metrics like bid-ask spread and trade volume.
Liquidity Aggregator
A liquidity aggregator is technology that gathers price quotes from many separate sources, banks, brokers, exchanges, and other liquidity providers, and combines them into a single, consolidated order book. Instead of a trader having to check venue by venue, the aggregator pools bids and offers so the best available prices surface in one place, and orders can be routed or split to wherever they will fill at the most favourable available prices, subject to execution conditions.
It is a core piece of plumbing in modern foreign-exchange and crypto trading, where liquidity is fragmented across dozens of venues rather than concentrated on a single exchange. The result can be tighter effective spreads and better execution, especially for larger orders.
Example: A brokerage uses a liquidity aggregator so that when a client places a large EUR/USD order, the system automatically sources the currency from several banks at once, potentially filling the trade at a blended competitive price rather than pushing the whole order through one provider and potentially increasing price impact.
Liquidity Coverage Ratio (LCR)
The liquidity coverage ratio, or LCR, is a banking rule introduced under the Basel III reforms after the 2008 financial crisis to make banks more resilient to a sudden funding squeeze. It requires a bank to hold enough high-quality liquid assets, the kind that are expected to remain relatively liquid under stress, such as cash, central-bank reserves, and top-grade government bonds, to cover its expected net cash outflows over a thirty-day period of severe stress.
Expressed as a formula, it is that stock of liquid assets divided by the projected thirty-day outflows, and it must come to at least 100 percent. The intention is to give a bank time to adjust, or for authorities to act, during a period of stress rather than facing a liquidity shortfall within days.
Example: A bank facing a modelled scenario where nervous depositors pull their funds and wholesale lenders refuse to roll over financing must show it holds enough liquid assets to meet its projected net cash outflows under the prescribed stress scenario over a full month, keeping its LCR at or above the 100 percent minimum.
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