Algorithmic Trading / Robo-TradingAlgorithmic Trading: Automating Financial Markets for Greater Efficiency and Profitability
Explanation
Algorithmic trading, also known as robo trading, is a process of using computer programs to execute trades automatically based on pre-defined rules or algorithms. It has revolutionized the way financial markets operate, making them more efficient, faster, and less prone to errors caused by human emotions.
Advantages
The advantages of algorithmic trading are numerous. Firstly, it enables traders to analyze vast amounts of data and execute trades with incredible speed and precision, resulting in improved profitability. It eliminates human error and bias, which are significant sources of trading losses. Secondly, algorithmic trading allows for 24/7 trading, regardless of the trader's location or time zone, which makes it possible to take advantage of global market movements. Finally, algorithmic trading also provides a level of transparency and accountability, as trades are executed automatically, and the outcomes are recorded in real-time.
History
The history of algorithmic trading dates back to the 1970s when the first computerized trading system was developed by the NYSE to automate the execution of large trades. The system was based on the principle of matching buyers and sellers electronically, and it soon became the norm for trading in the US equity markets. However, it was not until the 1990s that algorithmic trading began to gain traction in other financial markets.
As computing power increased and access to market data improved, algorithmic trading systems became more sophisticated, enabling traders to execute trades with greater precision and accuracy. With the introduction of low-latency trading platforms in the 2000s, algorithmic trading became even faster and more efficient, allowing traders to take advantage of even the smallest market movements.
Today, algorithmic trading is used in almost every financial market, including stocks, bonds, currencies, and commodities. It is estimated that more than 80% of all trades in the US equity markets are executed by algorithms, and the trend is growing in other financial markets worldwide.
In conclusion, algorithmic trading has transformed the financial markets by improving their efficiency, speed, and profitability. It is a powerful tool for traders and investors, providing them with the ability to analyze vast amounts of data, execute trades with incredible speed and accuracy, and eliminate the emotional biases that often lead to trading losses. As technology continues to evolve, we can expect algorithmic trading to become even more sophisticated, providing traders with even greater opportunities to profit from the global financial markets.
Algotrading
ALGO Idea | ALGOUSD | ALGOUSDT ALGOUSD | ALGOUSDT
✅ ✅ Risk warning, disclaimer: the above is a personal market judgment and analysis based on published information and historical chart data on The trading view,
And only some of these analyzes are my actual real trades.
I hope Traders consider I am Not responsible for your trades and investment decision.
Entering long in equity derivatives - mid/short-term. Some of our algorithmic systems are entering long in global equities, mainly in Norway and in the US.
Right now, the mid-term bullish trend is not completely consolidated, so the VaR allocated to each position is extremely slow.
Our systems are entering at market prices with guaranteed trailing stops at 0.3% of our portfolio risk.
If the systems compounds in a near future, they could open new positions at 0.5% of our portfolio risk.
Nevertheless, they will never allocate too much into a long equities strategy, due to they are diversified between leveraged ETFs, A-book CFDs, spot FX, and exchange-traded derivatives.
Algo turning point! Crypto Altcoins
#CryptoWhale100Billion Alt Coin Analysis: Algo
My Analysis shows that Algo has been holding at the .24 cent market for a few days now, filling up bear pockets. Algo has been falling for quite some time from an all-time high at $2.79 and crashed to .24 cents. A lot of sell-off, but this coin has the potential of stake rewards of Algo 5.75%+ interest which will give you more reward of Algo over the longer time of holding it. I can see it moving back to .285 cents and .33 cents.
Indicators show strong resistance using common pass strategies indicators to see cryptocurrency patterns. Rsi giving an Upper trend, Macd crossing over to the higher side of the trend. Candlesticks holding the resistance for over a week.
I am more bullish on Algo to .284-.33 cents.
For bearish to .19 cent.
Shoot me a message with your Technical Analysis to see your thoughts and trading strategies.
#CryptoWhale100Billion
Press The Thumbs Up and shoot me a message below what your idea on KNC will hit.
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Below are some Previous chart links I've written for Reference.
WATCH OUT❗ BearRally Correcting Overleveraged MarketsHi Traders, Investors and Speculators of the Chart📈📉
Ev here. Been trading crypto since 2017 and later got into stocks. I have 3 board exams on financial markets and studied economics from a top tier university for a year. Daytime job - Math Teacher. 👩(will be moving to corporate some time in Jan 2023)🏫
Bearish market rallies are meant to look like bottoms - shaking many holders out of their positions. This is because Stop Hunting Algorithms flourish here, hunting out your stop losses with wicks and volatility. In this short analysis, I explore the Total Cryptocurrency Market Cap in depth, using Technical Indicators such as the Bollinger Bands, Volume and Phoenix Ascending.
A formidable resistance zone is currently at 1T for the TOTAL chart, and I would only consider a reversal if we can CLOSE a WEEKLY candle ABOVE 1.1T ⬆ In other words, remember to take profits during a time of upward price action.
IMPORTANT XRP and XLM update coming tomorrow, stay tuned and follow 👀
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CryptoCheck
Do you know what it takes to be an Algo Trader?To be an algo trader, you typically need to have a strong background in computer science and programming, as well as a good understanding of financial markets and trading strategies.
Here are some of the important elements you need to be a top Alog Trader:
Experience with database management and data analysis
Knowledge of statistical analysis and machine learning techniques
Understanding of financial markets and trading strategies
Strong analytical and problem-solving skills
Attention to detail and ability to work under pressure
Overall, to be algo trader requires a combination of technical expertise, financial knowledge, and strong analytical and problem-solving skills.
It can be as simple as having an easy and proven mechanical strategy that you can demo, back test, forward test, analyse, monitor and evaluate your results.
This way, you'll have a decent idea on what your system and strategy potentially could yield in the near future.
Trade well, live free.
MATI Trader
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Buy yourself some ALGO for ChristmasAlgorand is one of the most sustainable blockchains.
Algorand was always my favorite blockchain. And it will always be my favorite coin to invest in.
Technical Analysis speaking, ALGO is trading at the bottom, it could go lower, but this is still a very good entry. And also, there are reversal signs with ALGOUSD when you look at the 1H chart.
Long term plan is to buy a small among of ALGO here and then buy some more at $0.1 (if we ever get there). And the short-term plan is to go LONG here with a tight stop-loss.
Long Scalping Setup:
Entry: 0.17x
Sl: 0.16
Tp: 0.19
ETH legend short x15-x25 to 888$Market algorithums need to confirm this:
- 1-2-3 Liquidity take out
- need to have a buysideyside 4h fvg
- return after 1-2-3 Liquidity take out to the 4h fvg
- create a fake valid 15m structure to the upside (trap for retail trader, they will think Ethereum will continue rising to the upside)
- set a sell stop at the low of the structure, to sell Ethereum, we should see a BIG DUMP to the downside
after this algorithmic confirmations, Ethereum will probably (100% probability) dump to at least 888$,
this algorithmic type of setup is created to take all of the retail trades money at this buy time and at previous buys to take all of
Liquidity in the last six months.
Goats make money
Sheeps lose money