Penny Stocks
Yes You Can Be Rich from Penny Stocks
Is it possible for people to really make a substantial profit using Penny Stocks, even to become millionaires? Certainly there are some people who make huge amounts of money with penny stocks, ordinary people who trade in their own time perhaps as a hobby rather than as a professional trader. It is very likely however that although they started buying penny stocks they eventually moved up to other potentially more profitable stocks using larger sums of money once they felt they were more experienced, and had more money to spend. Of course the question then becomes how do you start making profits quickly in penny stocks with the least risk?
Before we answer that question, let us quickly define exactly what we mean by penny stocks. There are different precise definitions, but in general the phrase refers to low priced, highly speculative stocks which normally sell at less than $1 per share. They are very volatile and can rise and drop hundreds of percentage points in minutes, sometimes as much as 400%. This can of course be dangerous, but can also be extremely profitable if you know what you are doing.
Now that we know what penny stocks are, how can we quickly work out what to trade and when, to maximise our profits? Remember, normally only after we have made a number of penny stock trades using small low risk sums can we even think about making the kind of trades we need to make the big money quickly. In most cases traders simply have to put in the hours - and weeks and months and years - to become experienced in the market. Only after trading many times and analyzing the trends and results over a long period can a trader say he really understands trading penny stocks, and even then he will still lose on many trades.
However there are of course many shortcuts on offer. There are many "systems" available, ways to help you identify trends and profitable opportunities as they happen, but there are huge problems with most of them. The main problem is simply that any system still relies on analysing the historical trends, and this takes time and effort. However, there may be a new solution.
Two computer programmers have created a piece of software which performs scans of stocks looking for companies who are forming bullish trading patterns, ie their stocks are about to increase. This software records historical information constantly and learns more and more over time, and every week it outputs recommendations of stocks it thinks should be bought and sold. These recommendations are only made when the software is confident in the outcome, based on the huge amount of data it has analysed.
Before we answer that question, let us quickly define exactly what we mean by penny stocks. There are different precise definitions, but in general the phrase refers to low priced, highly speculative stocks which normally sell at less than $1 per share. They are very volatile and can rise and drop hundreds of percentage points in minutes, sometimes as much as 400%. This can of course be dangerous, but can also be extremely profitable if you know what you are doing.
Now that we know what penny stocks are, how can we quickly work out what to trade and when, to maximise our profits? Remember, normally only after we have made a number of penny stock trades using small low risk sums can we even think about making the kind of trades we need to make the big money quickly. In most cases traders simply have to put in the hours - and weeks and months and years - to become experienced in the market. Only after trading many times and analyzing the trends and results over a long period can a trader say he really understands trading penny stocks, and even then he will still lose on many trades.
However there are of course many shortcuts on offer. There are many "systems" available, ways to help you identify trends and profitable opportunities as they happen, but there are huge problems with most of them. The main problem is simply that any system still relies on analysing the historical trends, and this takes time and effort. However, there may be a new solution.
Two computer programmers have created a piece of software which performs scans of stocks looking for companies who are forming bullish trading patterns, ie their stocks are about to increase. This software records historical information constantly and learns more and more over time, and every week it outputs recommendations of stocks it thinks should be bought and sold. These recommendations are only made when the software is confident in the outcome, based on the huge amount of data it has analysed.
