倪匡戒烟酒的见证
2022-07-04 18:10:08
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赵弟兄戒烟酒
作者:何天朵     来源:旷野呼声作者 时间:2019-11-19 06:52:47
赵弟兄自从十八岁学会了抽烟和喝酒之后,烟瘾和酒瘾越来越大,后来竟达到了烟不离手,顿顿喝酒的程度,抽烟和喝酒成了他生活不可或缺的一部分。


  50岁那年,他因气管炎发作住了两次医院,大夫建议他戒烟酒,他为难地说:“都抽了几十年了,咋能戒掉呢。”大夫劝道:“戒烟酒,是为了您的健康,你的肺已经全黑了,再抽下去就要转化成肺气肿和肺心病了。”听了大夫这番话,他的心情很沉重。沉思之后,他说:“好吧!听医生的话。”说完,他当机立断,把所有剩余的香烟和酒交给了妻子处理,并当众宣布:“从现在开始,我戒烟酒了。”

  然而,时间没过几天,他就无精打采,像掉了魂似的。没想到戒烟酒这么难受,简直是生不如死。后来,他想了个办法,去超市买了些糖和瓜子,一旦想抽烟喝酒的时候,就赶紧吃块糖嗑瓜子,可是一点也不管用,越吃零食越想抽烟了。

  他心想:算了,别折磨自己了。一天少吸几口,少喝两杯吧。

  但是他越戒抽得越多,动不动就咳嗽,有时候还咳得上气不接下气,最严重的有一次,竟然咳得脸色惨白,一度昏过去,如果不是送医院去抢救,恐怕命就保不住了;至于喝酒,早餐,中午和晚上每顿要喝半斤以上的白酒,常常喝得烂醉如泥,还经常呕吐秽物,弄得家里经常酒气冲天。一家人经常为这事头痛不已,妻子曾和他吵过不少架。赵弟兄也知道这样伤害身体,但他已经身不由己,六十多岁的人,看上去就像是风烛残年八十多岁的老人,头发花白,瘦骨嶙峋,并且还咳嗽个不停……抽烟嗜酒如命已经严重威胁到他的生命,他苦恼极了。

  赵弟兄原来是个工人,退休后除了爱好烟酒,就是喜爱文学。他很喜欢香港作家倪匡。有一次,他从网上得知科幻小说作家倪匡在香港书展“卫斯理五十周年座谈会”上与书迷见面时,被问到为何弃佛信耶稣,他回答说,“基督教的《圣经》简单,只有一个字──便是‘信’,你信他就得!”

  倪匡说“我本来信佛教,但佛经太艰深,我太懒,受不了,”“基督教的《圣经》简单,只有一个字──便是‘信’,你信他就得!”

  于是倪匡很诚心地祷告说,“我酒瘾很痛苦,我又不想这样被酒控制一生……”并邀牧师共同祷告,祈求神之大能帮助他戒酒。奇事就此发生,没有人相信,连倪匡自己都不能相信,上帝的大能就让他别无解释,心服口服。就在当晚,他就不再恋酒了,他说:这一神迹连自己都难以相信。

  赵弟兄告诉我,他看见倪匡的戒酒见证很受激励,于是他也想着跟主求助。第一次来教会的时候,赵弟兄手里还拿着香烟,当天聚会结束时,他手里拿着香烟找牧师交通,一只手已经把烟拿出来了,他还特别地征求了牧师的意见,说:“我能不能够在这里抽烟?我若是信主了还能不能够抽烟?”他问这问题的时候,其实是以为牧师会碍于面子,同意他在教会抽一支烟。但是牧师给予了他一句话说:“‘我们的身子是圣灵的殿’(参林前 6:19),所以根据这一个原则,我不主张基督徒抽烟。”他当时就非常尴尬地把烟又收了起来。他回去之后,就第一次在神面前作了极其恳切的祷告,求主帮助他把香烟和酒戒掉。他说那是他第一次经历非常奇妙的事,第二天之后他就再也没有抽烟喝酒的欲望了。赵弟兄还告诉我从那一天开始一直到现在,他就再也没有抽过烟,喝过酒。当赵弟兄和我们分享这一个奇妙的经历的时候,都特别激动感恩。

  在倪匡和赵弟兄的生命经历中,看到罪恶的权势虽大,但主帮助的力量更大,只有主才有能力改变我们,释放我们,他所说的话满有能力,他给我们的每一个应许都不会落空,希望倪匡和赵弟兄的经历能够成为更多人的安慰和帮助。

  如今,赵弟兄终于熬出了那些被烟酒捆绑的黑暗痛苦时光,虽然他在日常生活里还会遇见试探和交战,但他顺从圣灵,有了久违的喜乐和平安。

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    2022-07-06 01:45:47

    Perfect Cycle

     

    Once identified and understood, cycles can add significant value to the technical analysis toolbox. However, they are not perfect. Some will miss, some will disappear and some will provide a direct hit. This is why it is important to use cycles in conjunction with other aspects of technical analysis. Trend establishes direction, oscillators define momentum and cycles anticipate turning points. Look for confirmation with support or resistance on the price chart or a turn in a key momentum oscillator. It can also help to combine cycles. For example, the stock market is known to have 10-week, 20-week, and 40-week cycles. These cycles can be combined with the Six Month Cycle and Presidential Cycle for added value. Signals are enhanced when multiple cycles nest at a cycle low.

     

    A cycle is an event, such as a price high or low, which repeats itself on a regular basis. Cycles exist in the economy, in nature and in financial markets. The basic business cycle encompasses an economic downturn, bottom, economic upturn, and top. Cycles in nature include the four seasons and solar activity (11 years). Cycles are also part of technical analysis of the financial markets. Cycle theory asserts that cyclical forces, both long and short, drive price movements in the financial markets.

     

    Price and time cycles are used to anticipate turning points. Lows are normally used to define cycle length and then project future cycle lows. Even though there is evidence that cycles do indeed exist, they tend to change over time and can even disappear for a while . While this may sound discouraging, trend is the same way. There is indeed evidence that markets trend, but not all the time. Trend disappears when markets move into a trading range and reverses when prices change direction. Cycles can also disappear and even invert . Do not expect cycle analysis to pinpoint reaction highs or lows. Instead, cycle analysis should be used in conjunction with other aspects of technical analysis to anticipate turning points.

     

    The Perfect Cycle and stock signals

    The image below shows a perfect cycle with a length of 100 days. The first peak is at 25 days and the second peak is at 125 days (125 - 25 = 100). The first cycle low is at 75 days and the second cycle low is at 175 days (also 100 days later). Notice that the cycle crosses the X-axis at 50, 100 and 150, which is every 50 points or half a cycle.

     

    Cycle Characteristics and Best Signals

     

    Cycle Length: Lows are usually used to define the length of a cycle and project the cycle into the future. A cycle high can be expected somewhere between the cycle lows.

     

    Translation: Cycles almost never peak at the exact midpoint nor trough at the expected cycle low. Most often, peaks occur before or after the midpoint of the cycle. Right translation is the tendency of prices to peak in the latter part of the cycle during bull markets. Conversely, left translation is the tendency of prices to peak in the front half of the cycle during bear markets. Prices tend to peak later in bull markets and earlier in bear markets.

     

    Harmonics: Larger cycles can be broken down into smaller, and equal, cycles. A 40-week cycle divides into two 20-week cycles. A 20-week cycle divides into two 10-week cycles. Sometimes a larger cycle can divide into three or more parts. The inverse is also true. Small cycles can multiply into larger cycles. A 10-week cycle can be part of a larger 20-week cycle and an even larger 40-week cycle.

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    Nesting: A cycle low is reinforced when several cycles signal a trough at the same time. The 10-week, 20-week, and 40-week cycles are nesting when they all trough at the same time.

     

    Inversions: Sometimes a cycle high occurs when there should be a cycle low and vice versa. This can happen when a cycle high or low is skipped or is minimal. A cycle low may be short or almost non-existent in a strong uptrend. Similarly , markets can fall fast and skip a cycle high during sharp declines. Inversions are more prominent with shorter cycles and less common with longer cycles. For instance, one could expect more inversions with a 10-week cycle than a 40-week cycle.

    Forex trading Signals

    Data Categories

    The data points on a price chart can be split into three categories: trending, cyclical or random. Trending data points are part of a sustained directional move, usually up or down. Cyclical data points are recurring diversions from the mean. Diversions occur when prices move above or below the mean. Random data points are noise, usually caused by intraday or daily volatility.

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    Cycles can be found by removing trend and random noise from the price data. Random data points can be removed by smoothing the data with a moving average. The trend can be isolated by de-trending the data. This can be done by focusing on movements above and below a moving average.

    Read more on

    https://www.gold-pattern.com/en

    https://www.gold-pattern.com/en/best-signals

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