Ankit_1618

[Steve Woods Float Analysis ] Volume Float Indicator

This Indicator is developed as mentioned in Steve Woods Book
"Float Analysis, Powerful technical Indicators using Price and Volume"


Overview

Float analysis is a holistic approach to studying the technical behavior
of stocks. By this I mean it treats the shares actually being traded as equal in importance to price and volume activity. Thus, price and volume are seen as only two-thirds of the picture, with the number of shares actually traded being the final third that completes the picture. The power of looking at stocks this way is that it demonstrates a direct relationship between the volume of shares traded in the past and subsequent future movements in price. Thus, float analysis is a powerful tool to predict future stock price movements. In addition, by studying stocks holistically, float analysis expands and clarifies the definition of several technical terms. These include bottoms and tops, support and resistance , and accumulation and distribution.
Float analysis also allows us to create a model of price, volume , and tradeable shares activity. As a model it does not claim to be the “truth” of all stock price and volume activity. It is, of course, just one point of view among many. But like any valid model, it has the ring of truth; and to all who listen, float analysis rings rather loudly. Its appeal as a model of stock behavior is three- fold. First, it is based on several discoveries that are easy to understand. Second, it is backed up by hard data. And third, it makes common sense.
The first and most important discovery , made in 1993, is a simple concept with profound implications. In order to understand this discovery , we need to know two key terms: float and float turnover. The float is well known to knowledgeable market players. I coined the term float turnover to explain the discovery .

The Float
Any given stock has only a certain number of shares that are actually avail- able for trading. These freely traded shares in the hands of the public are called the float, a shortened version of the floating supply of shares. For big companies, like Intel or Microsoft , the number can be over a billion shares. For a small, obscure company, it may be a few hundred thousand. But every company has a specific number of shares that is actually traded by the pub- lic. The float should not be confused with the shares outstanding, which includes both the floating supply of shares and those shares held tightly by the company’s management. The float number for any given company can change periodically; the management might issue more shares, they might sell their shares, or the shares might go through a stock split. The number of shares in a company’s float is not a secret. It is a publicly accessible from a number of sources

A Float Turnover

A float turnover is the amount of time it takes for a number of shares to trade that cumulatively corresponds with the number of shares in the stock’s float. For example, if a company’s float has 100 million shares that are actively trading and the total cumulative volume of shares traded over the last year was 100 million shares, then a single float turnover would be a one-year span starting from the current date and going back to the day when the cumulative total of the volume equaled 100 million shares. In other words, all we’ve done is add the volume numbers from a starting point back to a date when the total equals the float number. There is in this definition an important point that needs to be noted. Although the company’s float is 100 million shares and 100 million shares were traded in a one-year span, we cannot say that all the shares in the float have been traded. This is because it is impossible to know the intentions of all the market participants. There may be short-term day traders who buy and sell several times during a float turnover, and there may be long-term investors who are holding their shares and not trading at all. This being the case, we can only say approximately all the shares in the float were traded. We can, however, quite correctly say that the total number of shares that were traded corresponds to the number of shares in the stock’s float. This is because we can add up the number of shares that were traded during any time frame and compare it to the stock’s float number. When the number of shares traded in any time frame is the same as the float number, we can say that by our definition we have a float turnover.
To some degree, a complete change of ownership in the company is implied by a float turnover, but it can never be measured with any degree of precision.



Real Life Applications

  • One can make a good strategy out of it
  • Can be used as confirmations to the old school patterns observed
  • Useful in deciding recovery points
  • Useful in deciding reverse trade points
  • Useful in deciding catastrophic Exit Plan



Some more Visual Examples






Which Timeframes it can be used
Can be used in any timeframes
like : 15s, 30s, 1m, 3m .... 1D, 1W, 1M,
Only to be used for securities for which tradingview provides volume data


How can you get this Indicator

You get this indicator only by messaging me privately, do not use the comment box for requesting access to the indicator, as it is against the house rules of Tradingview community. Use comments only for adding or suggesting constructive stuffss.

Last but not the least Thanks to TradingView for providing us such an awesome platform!



















Invite-only script

Access to this script is restricted to users authorized by the author and usually requires payment. You can add it to your favorites, but you will only be able to use it after requesting permission and obtaining it from its author. Contact Ankit_1618 for more information, or follow the author's instructions below.

TradingView does not suggest paying for a script and using it until you 100% trust its author and understand how the script works. In many cases you can find a good open-source alternative for free in our Public Library.

Want to use this script on a chart?

Warning: please read before requesting access.

Masters in Quantitative Finance,
University of London .

Algorithmic Trading Certifications
University of Oxford, Säid Business School .

Electronics and Communications Engineer at core .

Happy to help, message me!

Comments

Home Stock Screener Forex Screener Crypto Screener Economic Calendar How It Works Chart Features Pricing Refer a friend House Rules Help Center Website & Broker Solutions Widgets Charting Solutions Lightweight Charting Library Blog & News Twitter
Profile Profile Settings Account and Billing Referred friends Coins My Support Tickets Help Center Private Messages Chat Sign Out