Aviv Talmor, the Founder and CEO of algo-trading
Algo Trading
Algo trading sometimes referred to as algo, may be defined as computerized trading that employs proprietary algorithms or pre-programmed commands that are tailored to take into consideration variables like price, volume, and timing. First introduced in American financial markets in the 1970s, algo-trading is generally utilized in trading scenarios such as arbitrage, trend trading strategies, and order execution while approximately 60% of all trades were executed by computers in 2010. Today, algo trading can be classified into the following two categories: Algo Execution Trading occurs when an order (generally a large order) is conducted via an algo trade. Since algo programs are engineered to secure the best possible price, algo execution trading may divide the trade into smaller fragments and place trades at varying times. You can think of algo execution trading as performing a set order trade. High-frequency trading (HFT) is a style of algo trading that seeks to capitalize on small trading opportunities within the market, where tens of thousands of trades can occur per second. Type of Algo TradersAlgo trading provides traders with a more systematic trading approach as opposed to manual trading while the majority of algo trading occurs in the form of high-frequency trading. Given the versatility of algo trading, it is used by a myriad of traders. Short-term traders tend to gravitate towards algo trading where arbitrageurs and brokerage houses not only benefit from automated trading execution but also by the generation substantial liquidity created through algo trading. Algo trading performed by medium to long-term traders tend to acquire large sums of stock where traders aim not to cause disturbances or volatility with anonymous, large-volume trades. Trend followers, forex traders, and hedge funds use algo trading systematically to benefit from increased trade efficiency and through automated trade execution as opposed to instinctual-based investing.Common algo trading strategies used include index fund rebalance, mean reversion, time-weighted average price, volume-weighted average price, and percentage of volume.
Algo trading sometimes referred to as algo, may be defined as computerized trading that employs proprietary algorithms or pre-programmed commands that are tailored to take into consideration variables like price, volume, and timing. First introduced in American financial markets in the 1970s, algo-trading is generally utilized in trading scenarios such as arbitrage, trend trading strategies, and order execution while approximately 60% of all trades were executed by computers in 2010. Today, algo trading can be classified into the following two categories: Algo Execution Trading occurs when an order (generally a large order) is conducted via an algo trade. Since algo programs are engineered to secure the best possible price, algo execution trading may divide the trade into smaller fragments and place trades at varying times. You can think of algo execution trading as performing a set order trade. High-frequency trading (HFT) is a style of algo trading that seeks to capitalize on small trading opportunities within the market, where tens of thousands of trades can occur per second. Type of Algo TradersAlgo trading provides traders with a more systematic trading approach as opposed to manual trading while the majority of algo trading occurs in the form of high-frequency trading. Given the versatility of algo trading, it is used by a myriad of traders. Short-term traders tend to gravitate towards algo trading where arbitrageurs and brokerage houses not only benefit from automated trading execution but also by the generation substantial liquidity created through algo trading. Algo trading performed by medium to long-term traders tend to acquire large sums of stock where traders aim not to cause disturbances or volatility with anonymous, large-volume trades. Trend followers, forex traders, and hedge funds use algo trading systematically to benefit from increased trade efficiency and through automated trade execution as opposed to instinctual-based investing.Common algo trading strategies used include index fund rebalance, mean reversion, time-weighted average price, volume-weighted average price, and percentage of volume.
Read this Term company UTrade, has received a four-year prison sentence for defrauding investors of NIS 77 million ($22 million), along with other charges. He was also fined NIS 250,000 (about $78,900).
The sentencing on Wednesday came after the District Court in Tel Aviv convicted him in September 2022. He was found guilty of fraud under aggravated circumstances, theft by an authorized person, money laundering
Money Laundering
Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders.
Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders.
Read this Term, and managing an investment portfolio without a license.
The prosecutors initially sought a sentencing of eight years, but Judge Khaled Kabov reduced it to four years. Talmor also received a suspended sentencing of three months to submit an appeal.
UTrade raised NIS 100 million between 2012 and 2015 from around 600 clients, promising an annual return of 15 to 20 percent. Though the company’s clients were primarily Israelis, a previous report revealed that the firm also targeted global clients.
Check out the recent London Summit session on “Regulation Roundup: Everything You Need to Know for 2023.”
Aviv Telmor Did Not Personally Benefit from UTrade Fraud
The action against Talmor and UTrade started in 2015 when several investors complained to the authorities, followed by an inspection. The company even used customer deposits for operational expenses and strategic expansion with an acquisition. It also paid off old customers using the deposits from the new ones. An indictment was filed in 2018.
However, Judge Kabov justified the lighter sentence by saying that Talmor did not misappropriate the clients’ funds for personal gains. He further pointed out that Talmor expressed “sincere sorrow and remorse” for his actions.
“The defendant is currently in insolvency proceedings, and he is having trouble making a living and providing for his home and family,” the Judge said (translated from Hebrew). “Talmor faced the consequences of his actions, their severity, as well as the full significance of the damage caused by him to the investors.”
On the contrary, the Israeli prosecutors are not satisfied with the lighter sentencing and said they will “study the sentence.”
Apart from Talmor, the Israeli authorities also went after Aviv Talmor’s sister, Ma’ayan Talmor, and the Chief Analyst of UTrade, Roy Cuzin. Ma’ayan Talmor pled to the conspiracy charges to commit a crime and was fined NIS 10,000 with a suspended sentence, while Cuzin fled Israel, which led to the suspension of proceedings against him.
Aviv Talmor, the Founder and CEO of algo-trading
Algo Trading
Algo trading sometimes referred to as algo, may be defined as computerized trading that employs proprietary algorithms or pre-programmed commands that are tailored to take into consideration variables like price, volume, and timing. First introduced in American financial markets in the 1970s, algo-trading is generally utilized in trading scenarios such as arbitrage, trend trading strategies, and order execution while approximately 60% of all trades were executed by computers in 2010. Today, algo trading can be classified into the following two categories: Algo Execution Trading occurs when an order (generally a large order) is conducted via an algo trade. Since algo programs are engineered to secure the best possible price, algo execution trading may divide the trade into smaller fragments and place trades at varying times. You can think of algo execution trading as performing a set order trade. High-frequency trading (HFT) is a style of algo trading that seeks to capitalize on small trading opportunities within the market, where tens of thousands of trades can occur per second. Type of Algo TradersAlgo trading provides traders with a more systematic trading approach as opposed to manual trading while the majority of algo trading occurs in the form of high-frequency trading. Given the versatility of algo trading, it is used by a myriad of traders. Short-term traders tend to gravitate towards algo trading where arbitrageurs and brokerage houses not only benefit from automated trading execution but also by the generation substantial liquidity created through algo trading. Algo trading performed by medium to long-term traders tend to acquire large sums of stock where traders aim not to cause disturbances or volatility with anonymous, large-volume trades. Trend followers, forex traders, and hedge funds use algo trading systematically to benefit from increased trade efficiency and through automated trade execution as opposed to instinctual-based investing.Common algo trading strategies used include index fund rebalance, mean reversion, time-weighted average price, volume-weighted average price, and percentage of volume.
Algo trading sometimes referred to as algo, may be defined as computerized trading that employs proprietary algorithms or pre-programmed commands that are tailored to take into consideration variables like price, volume, and timing. First introduced in American financial markets in the 1970s, algo-trading is generally utilized in trading scenarios such as arbitrage, trend trading strategies, and order execution while approximately 60% of all trades were executed by computers in 2010. Today, algo trading can be classified into the following two categories: Algo Execution Trading occurs when an order (generally a large order) is conducted via an algo trade. Since algo programs are engineered to secure the best possible price, algo execution trading may divide the trade into smaller fragments and place trades at varying times. You can think of algo execution trading as performing a set order trade. High-frequency trading (HFT) is a style of algo trading that seeks to capitalize on small trading opportunities within the market, where tens of thousands of trades can occur per second. Type of Algo TradersAlgo trading provides traders with a more systematic trading approach as opposed to manual trading while the majority of algo trading occurs in the form of high-frequency trading. Given the versatility of algo trading, it is used by a myriad of traders. Short-term traders tend to gravitate towards algo trading where arbitrageurs and brokerage houses not only benefit from automated trading execution but also by the generation substantial liquidity created through algo trading. Algo trading performed by medium to long-term traders tend to acquire large sums of stock where traders aim not to cause disturbances or volatility with anonymous, large-volume trades. Trend followers, forex traders, and hedge funds use algo trading systematically to benefit from increased trade efficiency and through automated trade execution as opposed to instinctual-based investing.Common algo trading strategies used include index fund rebalance, mean reversion, time-weighted average price, volume-weighted average price, and percentage of volume.
Read this Term company UTrade, has received a four-year prison sentence for defrauding investors of NIS 77 million ($22 million), along with other charges. He was also fined NIS 250,000 (about $78,900).
The sentencing on Wednesday came after the District Court in Tel Aviv convicted him in September 2022. He was found guilty of fraud under aggravated circumstances, theft by an authorized person, money laundering
Money Laundering
Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders.
Money laundering is a blanket term to describe the process by which criminals disguise the original ownership and proceeds of criminal conduct by making such proceeds appear to be derived from a legitimate source.Money laundering is an issue that traverses countless industries and sectors, which includes the financial services space. Though criminal money may be successfully laundered without the assistance of the financial sector, billions of dollars’ worth of criminally derived money are laundered through financial institutions each year.This is not entirely surprising given the structure of the financial services industry and the nature of products and services offered by its participants.An ecosystem that involves the management, control, and processing of finances is inherently vulnerable to abuse by money launderers.Money Laundering ExplainedThe act of laundering is committed in circumstances in which an individual or entity is engaged in an arrangement that involves the proceeds of crime. These arrangements include a wide range of business relationships, i.e. banking, fiduciary and investment management.However, the degree of knowledge or suspicion will depend upon the specific offense but will usually be present where the person providing the arrangement, service or product knows, suspects or has reasonable grounds to suspect that the property involved in the arrangement represents the proceeds of crime. In some cases, the offence may also be committed where a person knows or suspects that the person with whom he or she is dealing is engaged in or has benefited from criminal conduct.One of the primary criticisms against cryptocurrencies has been their propensity for money laundering. Their anonymous nature and unregulated network structure make them ideally suited for money launders.
Read this Term, and managing an investment portfolio without a license.
The prosecutors initially sought a sentencing of eight years, but Judge Khaled Kabov reduced it to four years. Talmor also received a suspended sentencing of three months to submit an appeal.
UTrade raised NIS 100 million between 2012 and 2015 from around 600 clients, promising an annual return of 15 to 20 percent. Though the company’s clients were primarily Israelis, a previous report revealed that the firm also targeted global clients.
Check out the recent London Summit session on “Regulation Roundup: Everything You Need to Know for 2023.”
Aviv Telmor Did Not Personally Benefit from UTrade Fraud
The action against Talmor and UTrade started in 2015 when several investors complained to the authorities, followed by an inspection. The company even used customer deposits for operational expenses and strategic expansion with an acquisition. It also paid off old customers using the deposits from the new ones. An indictment was filed in 2018.
However, Judge Kabov justified the lighter sentence by saying that Talmor did not misappropriate the clients’ funds for personal gains. He further pointed out that Talmor expressed “sincere sorrow and remorse” for his actions.
“The defendant is currently in insolvency proceedings, and he is having trouble making a living and providing for his home and family,” the Judge said (translated from Hebrew). “Talmor faced the consequences of his actions, their severity, as well as the full significance of the damage caused by him to the investors.”
On the contrary, the Israeli prosecutors are not satisfied with the lighter sentencing and said they will “study the sentence.”
Apart from Talmor, the Israeli authorities also went after Aviv Talmor’s sister, Ma’ayan Talmor, and the Chief Analyst of UTrade, Roy Cuzin. Ma’ayan Talmor pled to the conspiracy charges to commit a crime and was fined NIS 10,000 with a suspended sentence, while Cuzin fled Israel, which led to the suspension of proceedings against him.
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