There comes a time when it’s too late to tell people how you feel.
There will come a day when the person you mean to talk to won’t be there. Don’t wait for that day.
“There’s always tomorrow” isn’t always true.
The no-pants guide to spending, saving, and thriving in the real world.
I once worked for a company that was so confused that, not only did I not meet my last immediate supervisor for 6 months, but he didn’t know what I did or who I supported. He was my supervisor on paper for payroll and organizational purposes only.
Does your boss know what you do?
More recently, I was called into my current boss’s office to get scolded for low productivity since I don’t produce as much as the other programmers.
That’s not my favorite thing to do in the afternoon. I’d rather spend the afternoon playing Angry Birds improving our software.
In response, I spent the week logging my time. Before I left on Friday, I sent my boss an email that started out with:
When we spoke on Monday, you compared my productivity unfavorably to the other developers. I don’t think that’s a fair comparison as I do more categories of tasks than the others. I don’t think you realize how many additional responsibilities I’ve taken on over the years.
I continued from there with a summary of each day’s work last week. The short version is that, while being productive, I spend less than half of my time on my primary job function because I’ve slowly taken on a managerial role.
I’m on vacation this week, so it will be a few days before I find out if my email will make a difference.
Now, this scolding was my fault. I know I spend my day doing much more than just writing code. I’ve told my boss that before, but I’ve never made sure he understands the scale of the extra work, and I’ve never proven it with a detailed log.
This was poor personal marketing.
In the future, I have to make sure that I keep him in the loop with a summary of the extra work I do, like the training, product demos, sales calls, and estimates I’m involved in.
We’ll see how well that works.
How would you handle a situation like this? Daily emails? Whining? Kicking a garbage can across the room?
When you are just entering the world of binary options trading or investing, you may be on the receiving end of a lot of advice. It is not uncommon to hear people tell you to implement different gambling strategies because binary options are based on chance more than anything else. You will also hear a lot of advice from those who say there are many good ways to develop an effective strategy using indicators and market signals. Some will insist that with proper analysis of market data, a solid strategy can be developed too.
Are they all correct? Interestingly enough, the answer is yes. The reason for this is simple, and as one expert writes, “there is no such thing as a perfect strategy for every trader. There is only a best strategy for each individual trader.” Thus, your strategy has to be shaped around a few things:
Identifying the answers to these questions is the first step to formulating a strategy. You should also understand that the winning percentage of most strategies will be somewhat constant, but the total number of successful trades varies on an individual basis and is based entirely on the strategies used.
For instance, some investors want a high percentage of winning trades and are more comfortable with risk averse trading. Others are ready to take more risk and are entirely comfortable winning fewer trades if the returns on winning trades are dramatically higher. This enables them to implement higher risk trades. The interesting thing about strategies and the kinds of trades they generate is that they are all built from the same data.
The Data of Strategy
For example, almost all strategies will look at issues like market trends, trading trends, highs and lows, reversals, and various kinds of indicators. The reason that high and low trends pay off in strategy development is simple: binary options trading applies to whether or not an asset rises above a strike price or doesn’t. It is the proverbial “yes or no” part of the proposition and analysis for either outcome pays off.
As an example, a lot of risk-averse investors will look for breakouts. They use these for trend line investing, which can be as brief as sixty seconds to a day, but can be used to coordinate investing in the direction of a short trend. Although this seems complex, it really is not. The key is that analysis cannot be broad and across all available markets. Instead, focused analysis on a specific area will allow even a novice investor to analyze for a breakout and then invest in binary options accordingly.
Just being able to detect a reversal or a downward trend over the course of a day can yield a very rewarding investment. The key is to understand your strategy based on your budget, personality, and your ability to stick with the strategy, even if it does not yield immediate success. When you do this, and use the right tools for analysis, you can create an effective strategy that brings you closer to your goals.
This is a guest post.
Last weekend, we held a garage sale at my mother-in-law’s house. It was technically an estate sale, but we treated it exactly as a garage sale.
A week before we started, a friend’s mother came to buy all of the blankets and most of the dishes, pots, and non-sharp utensils so she could donate them all to a shelter she works with. She took at least 3 dozen comforters and blankets away.
Even after that truckload, we started with two double rows of tables through the living room and dining room. The tops of the tables were as absolutely full as we could get them, and the floor under the tables was also used for displaying merchandise.
Have you ever had to display 75 brand-new pairs of shoes in a minimal about of space? They claimed about 16 feet of under-table space all by themselves. Thankfully, the blankets weren’t there anymore.
We also had half of the driveway full of furniture, toys, and tools.
We had a lot of stuff.
Now, most people hold a sale to make some money. Not us. We held a sale to let other people pay us for the privilege of hauling away our crap. As such, it was all priced to move. The most expensive thing we sold was about $20, but I can’t remember what that was. Most things went for somewhere between 25 cents and $1.
At those prices, we sold at least 2000 items. That isn’t a typo. We ended the day with $1325. After taking out the initial seed cash, lunches we bought for the people helping us, and dinner we bought one night, we had a profit of $975.
At 25 cents per item.
We optimized to sell instead of optimizing for profit. At the end of a long summer of cleaning out a hoarding house, it all needed to go.
In the next part, I’ll explain exactly how we made it work.