The Web 2.0 wave is slamming into Wall Street. Sharing and social networks that once seemed antithetical to the zero-sum world of money are finding their places in investing. From social stock-picking, to new and tradable web-based data, to search, all of these Web 2.0 technologies are showing up on Wall Street. Read more.

So-called amateurs have a bad rap in capital markets. Most professional investors sniff at such people, but Jim Cramer, host of CNBC's Mad Money, has done more than anyone else to celebrate them. Read more.

Some think open source technologies are fundamentally at odds with the zero-sum world of capital markets. Can you make money sharing some of your intellectual property? Increasingly we are seeing investors share technologies, ideas, and, yes, find more profits. Read more.

Dark pools, algorithms, disappearing traders—the markets are being transformed by technology. Capital is increasingly disappearing into markets where immense computational power is required to find trading parties; and algorithms are replacing traders at many funds. Read more.

Data is oxygen for stock markets. The trouble is, interesting new data is increasingly scarce, and existing data—like financial and earnings figures—are like mines picked over the point of exhaustion. Enter the Web. Read more.

Technology has transformed investment and trading over the past 30 years. Markets have become computer networks, brokers are disintermediated by direct access and algo trading. Reporters are disintermediated when investors have access to primary sources at the same time they do. Read more.

More and more decision-makers around the world in all industries are turning to expert networks—communities of top thinkers, managers, and scientists—to help them make decisions. Read more.

TradeKing was the first online broker-dealer to embrace social networking, introducing the TradeKing Community in 2005. Now, with more than two years under its belt - and 60,000 active traders & community members - TradeKing demonstrates how social networking is changing trading, to its own and its clients' benefit. Read more.

Wall Street is largely populated by hackers. Major funds, like Renaissance Technologies, are run by ex-computer scientists, and they are among the hottest firms on Wall Street. Where do they look for data? How do they find an edge? Read more.

In the current web-based data explosion, buyers and sellers of financial data are struggling to stay relevant and ahead. What data matters any more? What doesn’t? How do you know? Where do you look? Read more.

The news and information business is changing rapidly. There is simply far more of it, with thousands of stories moving on major newswire on any given day, but there are also hundreds of market-moving niche sites and blogs. Read more.

Web 2.0 is all about collaboration, about people helping one another, sometimes consciously, and sometimes less. A new generation of money management tools exploits this emerging phenomenon, and Wesabe is a great example. Read more.

AGORACOM is a second-generation financial community that has successfully eliminated epidemic levels of spam, bashing and profanity that plagued first-generation communities. Read more.

Over the last five years, technological innovations driven by Web 2.0 companies have changed the way business is conducted around the world. In this session we will explore some of those innovations and their impact on the investment management process. Read more.

Most people don’t know it, but Google is running one of the largest internal prediction markets in the world. In a sense, the fast-growing company has brought Wall Street inside, creating a marketplace to help it make decisions. Read more.

Everyone talks about the weather, including investors. Weather data is rapidly becoming a crucial source of data about retail trends, catastrophe bonds, and event insurance. If you can't do anything about the weather, how do you make money from it? Read more.

Travel is one of the most technology-enabled industries, with a rapidly increasing amount of information exposed through travel-related sites. What can be done with this data? Rick Seaney will show us. Read more.

Everyone complains about the existing news wires, but no one's willing to wade through all the noise online to monitor alternative sources of information. Read more.

About a year ago, we started generating stock ratings from the collective wisdom of the Motley Fool community and Wall Street analysts. In a little more than a year, we’ve collected ~1.5 million stock recommendations on over 7000 stocks. 5300 stocks have met our threshold for achieving a CAPS rating. But can community-generated stock ratings benefit your stock research? Read more.

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Changes in the size, speed, and capabilities of databases underlie every major technology change in capital markets. Entrepreneur and computer scientist Michael Stonebraker will discuss what it all means—on and off Wall Street. Read more.

Three slides in three minutes. How it is possible to harness collective intelligence to generate a 40% alpha. Read more.

Reuters is the largest information services company on the planet. It sits on some of the most widely used data, but is that data's time past? We'll find out with the company's Devin Wenig. Read more.

The author of "A Demon of Our Own Design," argues that technology, rather than being a solution in financial markets, is part of the problem—and the creator of even more and potentially calamitous problems. Innovation is running amok, creating immense problems in calculating and managing risk. Read more.

The stock market has long been seen as the antithesis of sharing. There is only so much money to be made, so why would you tell anyone else your good ideas? How, then, do we explain the rise of a host of new web-based services predicated on sharing information about trades and stocks? Read more.

Today’s hedge fund managers, portfolio fund managers, and research analysts enjoy state-of-the-art desktop news feeds but still spend considerable time and effort scouring the Internet for market-moving information. Read more.

More data is better, right up until it isn’t. Because after a while everything starts to disappear in data smog, with meaning lost in terabytes of data feeds and general information overload. How do you cope? Read more.

Markets are all about changes, about what is different now then what was going on ten minutes ago—and about what’s different from what people expected. Panopticon’s visualization tools process the motherlode of news data from Bloomberg, Reuters, and other real time sources to produce a fascinating picture of what’s different and what matters. Read more.

Wouldn’t you like to know what is being searched for right now in Google? Better yet, what is being searched for at the company of your choice? At Goldman? At Renaissance? While that data is not yet available, the next best thing is available at search analytics company Hitwise. Read more.

eventVestor provides the most comprehensive data and analytics platform for event driven investment analysis and business decision-making. Read more.

Equity research has gone from market hero to market zero in a decade. Now, equity research is seeing a resurgence and some of the best research is happening on blogs. Are blogs the future of equity research? Does sell-side research even have a future? Find out. Read more.

Market partcipants like to create new markets. People want to trade stocks? Options? Commodities? Art? No problem. But trading in all these things requires information, otherwise there is nothing to trade on. Case in point: Catastrophe bonds. Read more.

There is no denying the appeal of web-based prediction markets. They are the Web 2.0 notion of wisdom of crowds in action, with a knack for out-predicting experts on elections and sporting events. But can they ever outperform the biggest and most liquid prediction market of them all, the stock market? Read more.

Back in the 1980s, computer scientist and hacker Steve Skiena thought of a great way to beat jai-alai markets. Trouble was, it required faster computers and more data than he had at the time. That changed in the late 1990s, as Skiena exploited faster computers and web-based data to beat jai-alai markets, at least for a while. Read more.

One of the problems with trying to transform Wall Street and capital markets is that neither is very good at being transformed. While you might think that market participants are aggressive adopters of innovative technologies, it is actually hit-and-miss. It is better, goes the old Wall Street adage, to be wrong together, than wrong alone. Read more.

The Web is like an infinite library. Prices, popularity, schedules, economic releases, weather data, ocean buoy heights—it’s all there, and often in realtime. It can feel like a data bonanza to more enlightened financial market sorts, with this profusion of data opening up myriad doors for new strategies. Read more.

For the longest time most of the innovation in financial markets came from the inside. Teams would hive off from major brokerage firms, starting hedge funds, or less, commonly, new companies providing data and research services. Web 2.0 is changing all of this. Read more.