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发表于 8-8-2024 03:12 PM
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我不懂英文, 你看下ChatGPT说的 :- 
Smaller teams or individual traders can find success with trading strategies that don't require the high-speed execution of traditional HFT. Here are some approaches and strategies that can be viable:
- Algorithmic Trading: Developing and implementing algorithms that trade based on specific criteria, such as technical indicators or statistical patterns, can be a good start. These algorithms can operate at a lower frequency and still be effective with proper backtesting and optimization.
- Quantitative Trading: This involves using mathematical models and statistical techniques to identify trading opportunities. While quantitative trading can be complex, it doesn't always require ultra-low latency. Models can be developed and tested with historical data before being applied in live markets.
- Swing Trading: This strategy involves holding positions for several days to weeks, aiming to profit from short- to medium-term price movements. It relies less on high-speed execution and more on market analysis and timing.
- Statistical Arbitrage: This involves identifying and exploiting price inefficiencies between related securities. While some forms of statistical arbitrage require high-frequency execution, simpler versions can be implemented with less demanding technology.
- Machine Learning Models: Leveraging machine learning algorithms to predict price movements or identify trading signals can be effective. These models can be trained on historical data and used for decision-making without the need for high-frequency trading.
- Sentiment Analysis: Using natural language processing to analyze news and social media sentiment can provide trading signals. This approach requires processing and analyzing large amounts of unstructured data but doesn't necessarily demand real-time execution.
- Event-Driven Strategies: These involve trading based on specific events, such as earnings reports, economic data releases, or geopolitical events. This approach focuses on the timing of trades around these events rather than speed.
- Long-Term Investment Strategies: Although not trading in the traditional sense, adopting a systematic approach to long-term investing based on fundamental analysis can also be profitable. This approach involves less frequent trading and more focus on the underlying value of investments.
In all cases, risk management and continuous evaluation of strategies are crucial. Starting with lower-frequency approaches allows smaller teams to build expertise and gradually scale their operations as they gain more experience and resources.
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发表于 8-8-2024 03:20 PM
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发表于 8-8-2024 05:50 PM
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仙家淋要打脸我的话，就直接把他们的什么Priemierer户口或者$5/0.1秒的收入拿来扁我，一直在pusing和siam.
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发表于 8-8-2024 06:06 PM
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仙家淋都是一样自称it 高手和投资达人。
但是简单的常识却搞错，被duk 爆错处就pusing。
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发表于 8-8-2024 06:44 PM
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马华狗糧仔, 开两个户口演戏不累吗? 先证明你那张烂图和交易记录才來bb叫, 一直扯别的没用啦 ! 
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发表于 8-8-2024 09:30 PM
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他们讲到自己多厉害，炒美股，割韭菜，等到我show我的paper gain和银行户口的两个comma，一个就是pusing去玩option，这就好笑了，option是给那些没资金的玩，这是任何金融学都提到的，偏偏这小丑就不知道，另一个就转去马华了。这马华可是万灵丹，以$5/0.1秒赚钱的速度，16年了竟然没有一个两个comma的户口？我还以为我会被扁呢，结果是马华又中招。唉，马华真可怜，在政坛给建厕所为荣的政棍扁，在论坛给仙家淋扁，太可怜了。
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发表于 8-8-2024 09:46 PM
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本帖最后由 flyfly04 于 8-8-2024 09:47 PM 编辑
和你说说我新加波的弟弟买美国股票，先亏200k马币，再赚100k马币。2022年10月辞职苹果手机公司。辞职前捐钱老人院50k马币。要是你买股票很差，可以像我新加波的弟弟一样，捐钱10k20k给贫穷儿童。（2007年星洲日报说过，你住高级公寓，还是终身不买股票好。很高的公寓空气稀薄，高的公寓空气少。头脑需要很多空气，才会看得懂一大堆英文字体的股票。）
当年，我吉隆坡的表哥是赚马股，10k变100k，我表哥是不用工作，天天在家里看astro、看股票，股票赚了钱，就上网络付费看日本和欧美av。
1996，1997年，我用一千马币的红包钱，给吉隆坡的姑姑。姑姑帮我买大华银行的股票。2000年上学院，等了三、四年，大华银行变二十千。因为那时候我钱太多，很快就有女朋友。（新加波的弟弟曾经和已故逝世的爸爸告发我，说我读大学时交女朋友，还跑去女朋友的家里做爱。爸爸告诉新加波的弟弟说，这是没有关系的，因为那20k是你哥哥的股票钱。而你读大学交女朋友，用的是爸爸的钱，还去加拿大的sfu留学，搞到妈妈打电话和二千万富翁的舅舅借钱。弟弟申请了助学金五十万，可是温哥华的生活费贵。）
吉隆坡的姑姑和表哥以前是住一楼淹水的排屋，小小淹水，不会淹坏电视机和汽车。（2007年星洲日报说，淹水的一楼屋子的人民，有买股票的天分。）
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发表于 8-8-2024 09:53 PM
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本帖最后由 lcw9988 于 9-8-2024 12:20 AM 编辑
笑死人了, 马华仔的烂P图放两个comma这么少吗? 我还可以P成3个comma啦 !
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发表于 9-8-2024 05:40 AM
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仙家淋都是一样的，头头吹到自己几geng几geng, 被问到口哑哑就pusing，duk 爆他讲错又pusing讲在团队里面，其他部门的事不知道。
一个真正geng 的人，就算不是自己负责的part 也会知道。只有在最低层，知少少扮代表仙家淋才会讲团队的事情他不知道。
被人duk 爆用notepad run hft 就好笑了。
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发表于 9-8-2024 06:39 AM
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发表于 9-8-2024 07:40 AM
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讲到自己几geng 开volvo, 问他打油的洞在左边或右边，他答不出，又pusing.
可能他只负责吹，平时打油不是他的部门，他tak tau.
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发表于 9-8-2024 07:46 AM
来自手机
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金国金 发表于 9-8-2024 05:40 AM
仙家淋都是一样的，头头吹到自己几geng几geng, 被问到口哑哑就pusing，duk 爆他讲错又pusing讲在团队里面 ...
我还等着看人如何P图一张三个comma的户口和两个comma的paper gain来看看。我要带老婆和孩子去吃风了，你慢慢去duk这些仙家淋。 |
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发表于 9-8-2024 07:59 AM
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继续吹，讲到自己有团队，有finance，那么多部门，结果hft machine 不是在公司跑，而是在家里。
hft 最重要就是latency 你知道是啥？ 家里可以解决Latency ?
The technology stack in HFT … On the outset, HFT is about buying in one market and quickly selling in another market for a small profit. And we do this a million times a day. The trick is to very quickly cancel all our bids when one of them gets filled.
Malaysia, home to the largest number of listed companies in Southeast Asia, has generally been more of a domestic market. For High Frequency Trading (HFT) to happen, there needs to be multiple exchanges so that the traders can use the information they obtained from one exchange to act on their trade in the other exchange. In Malaysia, or most Asian markets, there is only one exchange operating in each country. For Malaysia, Bursa Malaysia is the sole exchange operator. Therefore, with this restriction, it seems almost impossible for HFT to happen in Malaysia.
不好现在又Pusing 说你是玩外国股。
@xinkafei
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发表于 9-8-2024 09:05 AM
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发表于 9-8-2024 09:07 AM
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本帖最后由 lcw9988 于 9-8-2024 09:21 AM 编辑
我没说过我们的速度能和大公司比, 反而我一直強調要想办法增加速度, 我在这里也曾出价十万给谁能把算法速度增加50%的人, 你要接这个单吗? 不会? 马华仔不会就不要装 !
如果你不懂英文就去translate :-
Smaller teams or individual traders can find success with trading strategies that don't require the high-speed execution of traditional HFT. Here are some approaches and strategies that can be viable:
- Algorithmic Trading: Developing and implementing algorithms that trade based on specific criteria, such as technical indicators or statistical patterns, can be a good start. These algorithms can operate at a lower frequency and still be effective with proper backtesting and optimization.
- Quantitative Trading: This involves using mathematical models and statistical techniques to identify trading opportunities. While quantitative trading can be complex, it doesn't always require ultra-low latency. Models can be developed and tested with historical data before being applied in live markets.
- Swing Trading: This strategy involves holding positions for several days to weeks, aiming to profit from short- to medium-term price movements. It relies less on high-speed execution and more on market analysis and timing.
- Statistical Arbitrage: This involves identifying and exploiting price inefficiencies between related securities. While some forms of statistical arbitrage require high-frequency execution, simpler versions can be implemented with less demanding technology.
- Machine Learning Models: Leveraging machine learning algorithms to predict price movements or identify trading signals can be effective. These models can be trained on historical data and used for decision-making without the need for high-frequency trading.
- Sentiment Analysis: Using natural language processing to analyze news and social media sentiment can provide trading signals. This approach requires processing and analyzing large amounts of unstructured data but doesn't necessarily demand real-time execution.
- Event-Driven Strategies: These involve trading based on specific events, such as earnings reports, economic data releases, or geopolitical events. This approach focuses on the timing of trades around these events rather than speed.
- Long-Term Investment Strategies: Although not trading in the traditional sense, adopting a systematic approach to long-term investing based on fundamental analysis can also be profitable. This approach involves less frequent trading and more focus on the underlying value of investments.
In all cases, risk management and continuous evaluation of strategies are crucial. Starting with lower-frequency approaches allows smaller teams to build expertise and gradually scale their operations as they gain more experience and resources.
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发表于 9-8-2024 09:15 AM
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有想过用BURSA的, 但不可行的, 这样很快会被发现, 虽然HFT不違规, 但当他们要针对你时, 可以利用这个做借口, 我们宁愿慢一些少赚一些也不冒险 ! 你猜到我们用什么了? 
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发表于 9-8-2024 09:27 AM
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租专线或VPN加邻近托管，将交易服务器托管在靠近交易所的邻近数据中心中。
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发表于 9-8-2024 09:28 AM
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本帖最后由 lcw9988 于 9-8-2024 09:31 AM 编辑
一看你的回复就知道你不懂了, 韭菜下单买卖有快到0.001秒吗? 不如你说0.0000001秒? 笑死 !
我们和大公司比当然慢很多, 但我们的速度已足够割相对很慢很慢的韭菜, 无法反驳只会说我们比谁慢很多, 做不了 . . . blah blah . . .你怎样知道比大公司慢一些就赚不了? 你做过吗? 还是拿网上文章来吹?
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发表于 9-8-2024 09:30 AM
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发表于 9-8-2024 09:32 AM
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所有交易都是通过bursa 进行。
有想过用BURSA的, 但不可行的, 这样很快会被发现, 虽然HFT不違规
你要仙家淋也要知道自己在仙啥。
你上面才讲
还有, 大量交易的佣金是可以nego的, 你小屁孩又不懂吗?
既然你可以nego 大量交易的佣金。bursa 不知道你在进行大量交易？
@xinkafei 来看笑话
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