Trading Strategy Sample Clauses

Trading Strategy. In managing the Account, LEFTURN agrees to use its best judgment and efforts for the Customer’s benefit. However, the parties agree that the Customer shall bear all risk of gain or loss in the Account and all expenses of the Account. No assurance can be given that either LEFTURN's advice or that advice of the Sub-Advisors will result in profits or will not result in losses for the Customer. LEFTURN and/or the Sub-Advisors may use stop-loss orders; however, in the event that a stop-loss order is placed, there can be no assurance that the stop-loss order will protect the Account against losses.
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Trading Strategy. 3.1 Nordvirgin will invest in diverse asset classes, including speculative and alternative asset classes, as well as fixed assets, at a ratio its asset managers deem to be most profitable. This includes Foreign Exchange (FOREX and Currency Trading), Cryptocurrencies, Futures, Options, Derivatives and any profitable asset class, as advised by its professional in-house asset managers.
Trading Strategy. In managing the Account, EJ Capital agrees to use its best judgment and efforts for the Customer’s benefit. However, the parties agree that the Customer shall bear all risk of gain or loss in the Account and all expenses of the Account. No assurance can be given that either EJ Capital’s advice or that advice of the Sub-Advisors will result in profits or will not result in losses for the Customer. If the realized and/or unrealized losses exceed 50% of the Customer's deposit(s) to his account with EJ Capital, as of the end of any business day, EJ Capital will cease trading in that account immediately and contact Customer for instructions. EJ Capital and/or the Sub-Advisors may use stop-loss orders; however, in the event that a stop-loss order is placed, there can be no assurance that the stop-loss order will protect the Account against losses.
Trading Strategy. In managing the Account, Forex Manipulation team agrees to use its best judgment and efforts for the Client’s benefit. However, the parties agree that the Client shall bear all risk of gain or loss in the Account and all expenses of the Account. No assurance can be given that either Forex Manipulation team advice that will result in profits or will not result in losses for the Client. Forex Manipulation team and its trader will use stop-loss orders; however, in the event that a stop-loss order is placed, there can be no assurance that the stop-loss order will protect the Account against losses.
Trading Strategy. In managing the Account, NetPicks agrees to use its best judgment and efforts for the Customer’s benefit. However, the parties agree that the Customer shall bear all risk of gain or loss in the Account and all expenses of the Account. No assurance can be given that either NetPicks’s advice or that advice of the Sub-Advisors will result in profits or will not result in losses for the Customer. If the realized and/or unrealized losses exceed 50% of the Customer's deposit(s) to his account with NetPicks, as of the end of any business day, NetPicks will cease trading in that account immediately and contact Customer for instructions. NetPicks and/or the Sub-Advisors may use stop-loss orders; however, in the event that a stop-loss order is placed, there can be no assurance that the stop-loss order will protect the Account against losses.
Trading Strategy. In managing the Account, XXX agrees to use its best judgment and efforts for the Customer’s benefit. However, the both parties agree that shall bear all risk of gain or loss in the Account and all expenses of the Account equally. If the realized and/or unrealized losses exceed 15% of the Customer's deposit(s) to his account with XXX, as of the end of any business day, the Customer is given three options The Customer has the option to bear all existing losses and withdraw the remaining deposit(s).or fill the agreed loss Risk Amount The Customer has the option to allow XXX Fund Managers to recover the drawdown of 15% through trading and refill the Account, within 1 (one) month time. In the event the deposited amount has not been achieved at the end of the month, XXX will refill the remaining amount. The customer can then withdraw the deposited capital from the Account. The Customer has the option to allow XXX Fund Manager to recover the drawdown of 10% through trading and refill the Account, within 1 (one) month time. In the event the deposited amount has not been achieved at the end of the month, XXX will continue trading and bring the Account back to a profitable state. XXX and/or the Sub-Advisors may use stop-loss orders strictly to protect the customer trading account.
Trading Strategy. The Wealth Academy's goal is to generate as much profits for the customer to the best of our expertise. Our monthly target is between 10% to 30% return on investment. The banks give you only 1% to 2% return on investment yearly which is very small. Sometimes we can make even more, up to 80% and above. The Wealth Academy may use stop-loss orders to prevent any form of major loss; however, in the event that a stop-loss order is placed, there can be no full assurance that the stop-loss order will protect the Account against losses.
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Trading Strategy. ‌ Although the predictability is limited, yet it is still interesting to examine whether it is possible to generate abnormal return spreads based on past realized DownAsy. At the beginning of each month, I sort stocks into quintile (1-5) portfolios based on their realized DownAsy over the previous 12 months. Then, I examine equal-weighted average returns of these portfolios over the next 12-month period (Panel A) and over the next one month period (Panel B). The data used in this paper range from January 1962 to December 2013. As I use first 12-month data to estimate the first lagged DownAsy, the first portfolios are formed in January 1963. Then I update those portfolios in a monthly frequency. The results are reported in Table 2.11 below. [Insert Table 2.11 about here] Panel A of Table 2.11 shows 12-month holding period returns for portfolios sorted based on lagged DownAsy. Xxxxx-Xxxx (1987) standard errors with 12 lags are used to compute the t-statistics (in parentheses) to account for autocorrelations in the 12-month cumulative returns. In the second column, quintile 1 (5) shows an average equal-weighted excess return of 10.63% (13.86%). The spread in average excess returns is a 3.22% per annum, which is statistically significant at the 1% level. To purge any effect due to exposures to systematic risk factors, I regress the returns of each quintile portfolio and the spread portfolio on the market factor, Fama and Xxxxxx (1993) three factors, and Xxxxxxx (1997) four factors respectively. The alphas are reported in the third to fifth columns. CAPM alpha spread is at 2.97% per annum, showing that a small part of the premium can be explained by the market factor. After controlling for the size factor (SMB) and the book-to-market factor (HML), alpha increases to 3.47% per annum. Adding the momentum factor (UMD) reduces the alpha spread to only 1.23% per annum that is marginally significant at the 10% level. It indicates that the part of the return based on the trading strategy is due to exposure to the momentum factor. We find that XxxxXxx is not persistent over time. During shorter holding period, DownAsy may change less than during the longer period, so in Panel B, I show 1-month holding period returns for portfolios sorted based on lagged DownAsy. Non-overlapping 1-month returns are usually considered to have no autocorrelations, so the standard t- statistics are reported in parentheses. As expected, the trading strategy of investing in high DownAsy stoc...

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