new with tags
NWT almost always means “new with tags”, and is most often used on selling sites like Amazon, eBay, or Poshmark. If a seller posts an item and describes it as NWT, that means the item still has its original tags and is not used.
"New With Tags" is the most common definition for NWT on Snapchat, WhatsApp, Facebook, Twitter, Instagram, and TikTok. NWT. Definition: New With Tags.
Ever see a listing labeled “NWT” and wonder what that means? These are new items, with tags still on (New With Tags) that are for sale.
HTF
Acronym | Definition |
---|---|
HTF | Hard To Find |
HTF | Happy Tree Friends |
HTF | Hit the Floor (band) |
HTF | How To Fight |
Hard to Find
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eBay | What It Abbreviates | What It Means |
---|---|---|
HTF, OOP | Hard to Find, Out of Print | Out of print, only a few ever made, or people grabbed up all there were. (HTF doesn't mean you spent a week looking for it in the attic.) |
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Mar 26, 2016
In a lower timeframe (aka LTF) chart, the focus is to follow the higher time frame (aka HTF) trend direction to capitalize on the trend. These are the various options. Which option to pick? That depend on how savvy is the trader.
High-frequency trading, also known as HFT, is a method of trading that uses powerful computer programs to transact a large number of orders in fractions of a second. It uses complex algorithms to analyze multiple markets and execute orders based on market conditions.
That means for the first time, investors will be able to buy into a high-frequency trader. That's right, now you can bet with the bogeyman. High-frequency trading, program trading based on algorithms to buy and sell at computerized speeds, takes a lot of heat. (Learn more about it here).
High-Frequency Trading is an extremely technical discipline and it attracts the very best candidates from varied areas of science and engineering - mathematics, physics, computer science and electronic engineering. In the developed countries, you need a PhD in CS or physics/maths or an MFE degree to become a quant.
Typically, most traders consider the RSI to be a long-time frame (LTF) indicator that requires at least 14 days worth of data to be a meaningful measure, although the RSI can be used on a short-time frame (STF) basis for more immediate price moves.
How to buy Hathor
Joseph Berman. Except it means “per annum” (per year). Earning 8% p.a. on a crypto deposit references your annual interest rate.
High frequency trading (HFT), or systematic trading, is an automated trading platform used by large investment banks, hedge funds and institutional investors. The strategy that engages powerful computers and servers and the fastest connectivity technology to trade large numbers of orders at extremely high speeds.
High Frequency Trader Salary
Annual Salary | Monthly Pay | |
---|---|---|
Top Earners | $186,500 | $15,541 |
75th Percentile | $150,000 | $12,500 |
Average | $92,591 | $7,715 |
25th Percentile | $26,000 | $2,166 |
One strategy is to serve as a market maker, where the HFT firm provides liquidity on both the buy and sell sides. By purchasing at the bid price and selling at the ask price, high-frequency traders can make profits of a penny or less per share. This translates to big profits when multiplied over millions of shares.
Critics see high-frequency trading as unethical and as giving an unfair advantage for large firms against smaller institutions and investors. Stock markets are supposed to offer a fair and level playing field, which HFT arguably disrupts since the technology can be used for ultra-short-term strategies.
The downside: it's not clear who exactly is making the trades, because the HFT is using the brokers "pass" to access the markets, and checks to make sure that trades are meeting parameters set by the exchanges are not being made.
Algorithmic HFT has a number of risks, the biggest of which is its potential to amplify systemic risk. Its propensity to intensify market volatility can ripple across to other markets and stoke investor uncertainty.
Big banks, hedge funds and institutional investors use computer-driven trading algorithms routinely in bull or bear markets. When the stock market turns volatile, algorithmic trading often gets the blame. Algo trading can escalate and worsen a stock market sell-off when triggered by news events or financial rules.
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They learn from our habits. Because algs are this they're learning from our habits. And they useMoreThey learn from our habits. Because algs are this they're learning from our habits. And they use them to learn how we trade. So on purpose what they're gonna.
These are both examples of completely legal trading tactics that algorithmic systems are well suited for. When executed by a well-programmed ATS, these strategies are safe, legal, and effective.