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How can I calculate the strike price or implied volatility from a given delta?
Seven straight weeks of winning option trades! (We don't update this Facebook page often...)
Closing out our weekly options trade in $SPY for a nice +18% gain in one week. - #1 options newsletter.
Eight weeks in a row of winning profitable trades. Zero losing trades. -- New trade coming this Friday. We are the best in the business at weekly options trading.
Nine winning weekly options trades in a row. Last week's trade in PCLN was never in doubt.
Another weekly options winner last week. $FB Facebook put spread was a nice +20.5% profit in five days!
Closed out weekly options trade in $TSLA today for a +19% profit. A new trade was also released this morning...
Another down day -500 pts for the DOW $DIA. We are not shying away, in fact we are staying long and Buying here! The economy is fine. We are not in bear market. This is a golden opp! Buying $FB and $COST and $AAPL and $BIIB and $PYPL. Hold until Christmas!
New weekly options trade released this morning. Last week's trade in GOOG was a rare loss (small loss). Say what?! Yes we do have losing trades...but most are winners!
Satellite TV comes in two varieties, DirecTV and Dish Network. Each company offers a High Definition Digital Video Recorder that also works as a Satellite Receiver.Dish Network offers customers the ViP722 DVR, a dual-tuner, two-TV HD DVR receiver. This is Dish Network's top-of-the-line Receiver, as it allows you to watch and record both HD and SD broadcasts, while also using the receiver as a DVR. It is a Dual-tuner Receiver for recording one show while watching another, and includes a hefty Hard Drive for up to 350 hours of SD recording, and up to 55 hours of HD recording. It also provides an Electronic Programming Guide (EPG) for scheduling recordings in advance. The cost of this little unit?
After Satellite and Cable, the options for HD Digital Video Recording include Sony's brand of HD DVRs (that only work with Analog Cable TV), and Computers that include High Definition TV Capture Cards.
An antenna is used to pick up OTA HD Broadcasts, which can then be recorded and time-shifted like any DVR system.The AVerMedia AVerTVHD MCE A180 is a PCI ATSC HDTV TV and Video Capture Card for free over-the-air digital TV and full quality free over-the-air HDTV reception. This allows for free over-the-air HDTV on a PC, so you can watch, pause and record HDTV programs on your PC. To use this card you must buy a seperate HDTV antenna. The ATI card works on Windows XP or Windows Media Center O/S. The AverMedia card only works with Windows Media Center.Microsoft's Windows Media Center Operating System is now offered by many computer manufacturer's and many of those manufacturer's offer an HDTV upgrade to either an ATI or Avermedia HD card. Or, if you don't want to use the Media Center O/S, then the ATI card could be used on a Windows XP machine.
Both include multiple analog inputs and outputs as well as Component, HDMI and digital audio outputs. These are expensive and high-end DVRs that are ideal for analog cable subscribers who want the ability to record HD signals free over-the-air.
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Let’s say you’re right, and XYZ’s stock price rises to $100. Your option is, in options-speak, “in the money.” For a call option, that means the share price on the open market is higher than the option’s strike price. (For a put option to be in the money, the share price must be lower than the strike price.)
If anything you’ve read so far gives you pause — the amount of capital required to trade options, the complexity of predicting multiple moving parts, the reliance on timing — that’s a good thing. That’s exactly what brokers require potential options investors to do before awarding a permission slip to start trading options.
The difference between the strike price and the share price is part of what determines an option’s intrinsic value. Time is the other part of the valuation formula, which leads us to the final choice you need to make before buying an options contract.
Had you been speculating and bought shares of XYZ on the open market before the price took a dive, your financial loss would cut a lot deeper.
When you buy an option, you’re purchasing a contract to buy or sell a stock, usually 100 shares of the stock per contract, at a pre-negotiated price by a certain date. In order to place the trade, you must make three strategic choices:
If you think the price of a stock will decline, you’ll buy a put option. A put option gives you the right, but not the obligation, to sell shares at a stated price before the contract expires.
You can’t just choose any strike price. Option quotes, technically called option chains, contain a range of available strike prices. The increments between strike prices are standardized across the industry — for example, $1, $2.50, $5, $10 — and are based on the stock price.
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Decimal shows no relation to powers of $2$. Often the fact that a number is, say $5\cdot 2^n-1$, is more important than how much that is.
Computers aren't good at multiple symbols, thus base 2 (where you only have 2 symbols) is suitable for them while longer strings ,numbers with more digits, are less of a problem. Humans are very good with multiple symbols, but aren't that good in remembering longer strings.
A first remark is that when people count in thousands, or millions as a unit, this is still considered decimal, because these are powers of 10. So one might wonder why octal or hexadecimal should not be considered just a variation on binary. One possible reason may be the number of symbols used to represent numbers (though that is disputable issue, as we shall see with other systems).
Why do we use other bases which are neither binary (for computers) nor decimals (for humans)?
It is interesting to note that there is much interplay between numbering systems and unit systems. But this is to be expected since measure is a major role for numbers. This is noticeable in the opposition between the decimal and binary metrics for memory size.
Then, regarding humans, they using several system in base 5, called quinary systems. Actually, most of these system are with two bases, the second one being 2 or 4, alternating with the base five, which makes them equivalent to base 10 (decimal) or base 20 (vigesimal). Guess where that comes from :)
Octal (base-8) and hexadecimal (base-16) numbers are a reasonable compromise between the binary (base-2) system computers use and decimal (base-10) system most humans use.
One very old and very common system is the sexagesimal system used to measure time and angles (but we know they are related, through Earth rotation). It uses base 60, but does not use 60 symbols as that is far too many. So it relies on another system to represent its synbols (such as the decimal system).
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An expression such as “3 + 4 = 5” is nonsense within the scope and definition of real numbers, but it fits nicely within the scope and definition of complex numbers (think of a right triangle with opposite and adjacent sides of 3 and 4, with a hypotenuse of 5). Because complex numbers are two-dimensional, they are able to “add” with one another trigonometrically as single-dimension “real” numbers cannot.
For instance, when calculating quantities in AC circuits, we find that the “real” number quantities which served us so well in DC circuit analysis are inadequate for the task of representing AC quantities. We know that voltages add when connected in series, but we also know that it is possible to connect a 3-volt AC source in series with a 4-volt AC source and end up with 5 volts total voltage (3 + 4 = 5)! Does this mean the inviolable and self-evident rules of arithmetic have been violated? No, it just means that the rules of “real” numbers do not apply to the kinds of quantities encountered in AC circuits, where every variable has both a magnitude and a phase. Consequently, we must use a different kind of numerical quantity, or object, for AC circuits (complex numbers, rather than real numbers), and along with this different system of numbers comes a different set of rules telling us how they relate to one another.
All arithmetic operations performed with Boolean quantities have but one of two possible outcomes: either 1 or 0. There is no such thing as “2” or “-1” or “1/2” in the Boolean world. It is a world in which all other possibilities are invalid by fiat. As one might guess, this is not the kind of math you want to use when balancing a checkbook or calculating current through a resistor. However, Claude Shannon of MIT fame recognized how Boolean algebra could be applied to on-and-off circuits, where all signals are characterized as either “high” (1) or “low” (0). His 1938 thesis, titled A Symbolic Analysis of Relay and Switching Circuits, put Boole’s theoretical work to use in a way Boole never could have imagined, giving us a powerful mathematical tool for designing and analyzing digital circuits.
Logic is much like mathematics in this respect: the so-called “Laws” of logic depend on how we define what a proposition is. The Greek philosopher Aristotle founded a system of logic based on only two types of propositions: true and false. His bivalent (two-mode) definition of truth led to the four foundational laws of logic: the Law of Identity (A is A); the Law of Non-contradiction (A is not non-A); the Law of the Excluded Middle (either A or non-A); and the Law of Rational Inference. These so-called Laws function within the scope of logic where a proposition is limited to one of two possible values, but may not apply in cases where propositions can hold values other than “true” or “false.” In fact, much work has been done and continues to be done on “multivalued,” or fuzzy logic, where propositions may be true or false to a limited degree. In such a system of logic, “Laws” such as the Law of the Excluded Middle simply do not apply, because they are founded on the assumption of bivalence. Likewise, many premises which would violate the Law of Non-contradiction in Aristotelian logic have validity in “fuzzy” logic. Again, the defining limits of propositional values determine the Laws describing their functions and relations.
There are two sources of imprecision in such a calculation: decimal to floating-point conversion, and limited-precision binary arithmetic. Decimal to floating-point conversion introduces inexactness because a decimal operand may not have an exact floating-point equivalent; limited-precision binary arithmetic introduces inexactness because a binary calculation may produce more bits than can be stored. In these cases, rounding occurs.
which is 129.94999999999998863131622783839702606201171875 in decimal.
Addition, subtraction, and multiplication always produce a finite result, but division may (in fact, in most cases) produce an infinite (repeating) fractional value. Infinite results are truncated — not rounded — to the specified number of bits. Infinite results are noted with an ellipsis (…) appended to the result, and with an ‘∞’ symbol as the number of fractional digits. For divisions that represent dyadic fractions, the result will be finite, and displayed in full precision — regardless of the setting for the number of fractional bits.
For practical reasons, the size of the inputs — and the number of fractional bits in an infinite division result — is limited. If you exceed these limits, you will get an error message. But within these limits, all results will be accurate (in the case of division, results are accurate through the truncated bit position).
10 and 100 (both decimal) have exact floating-point equivalents (1010 and 1100100, respectively), but 129.95 has only an approximate representation. My decimal to binary converter will tell you that, in pure binary, 129.95 has an infinite repeating fraction:
Anti Martingale has been overlooked.
The probability of 8 winners in a row is (1/2)8. That means I’d expect this to happen after 28, or after 256 trades.
Table 4 below shows the long term performance characteristics of both algorithms. The data is based on 1,000 runs of both algorithms under different market conditions: flat, bullish, and bearish. Each run can execute up to 200 trades. This sample data therefore consists of 1.2 million data points (1000 x 6 x 200).
The standard Martingale system closes winners and doubles exposure on losing trades. If you’re not familiar with this strategy, see this other article here on Forexop. While it has some highly desirable properties, the downside with it is that it can cause losses to run up exponentially.
As shown above, the lot-doubling, which marks the Martingale approach, can work against you too. With the reverse-Martingale, the averaging up rather than down means your profits can be turned very quickly into loses should the market turn against you.
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I know of no broker that provides an official, supported Python API. If you are at Interactive Brokers you can consider using their FIX gateway, but that comes with additional cost. QuickFix provides a Python API.
I have a trading account in Interactive Brokers, and I know some non-official Python libraries (such as ibPy and swigPy) that are an interface to the Java API and are not officially supported.
Check out Quantopian. It's all in Python. You can backtest and paper trade your algo for free. We do live trading by hooking your algorithm to your Interactive Brokers account.
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Once that is done move down to the hourly charts and get a look at how day to day price action is behaving around your lines and if any shorter term support, resistance or trend lines look important. Draw them if they do. These lines tell you what strike prices to look for. So, about 30 minutes before your chosen expiration, or 30 minutes before every expiration, look at your charts and then look at the available strikes. The idea is to buy strikes at or below lower support and to sell those above upper resistance. By doing this you can buy options that are already in the money and sell those that are already out of the money for instant, or near instant, profit. All you have to do is hold them until expiration. The returns on this type of position isn’t great, on average about 10-15%, but it is quick and easy 15% that you can make every time an option approaches expiration.
I also call this the ITM strategy because you are looking for ITM options. This strategy is a combination of the three techniques described above and utilizes expiration time to help ensure profitability. This strategy will work for stocks, indices, commodities and forex pairs. I suggest using the daily charts for trend, then move down to the hourly charts for choosing your positions. You want to start off with a look at trend to see what the underlying condition is. A market trending strongly in one direction may be better suited to a trend following strategy. Use the daily chart to draw trend lines and any support or resistance that looks important.
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