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 Binary Options Training, a first step towards investing

Binary Options Training, a first step towards investing

[Just Launched] Options Domination Binary Trading - [Amazing System] - True Risk Free Trades! [New for 2015]

Many brokers or services will market something called “risk free” trades in which a certain number of your first trades you can get your money back should the signals they give you prove to be of bad quality. In most cases there are many regulations that require you to keep investing a certain amount before you can withdraw your “risk free” trades. This is the sign of a bad signal provider that probably makes more money selling their signals then they do actually implementing them themselves.
In our case study of the system we won 5 out of 7 of the trades and pocketed $250 in profit which is a 25% return on a small investment. We were very impressed with these results. At that time we could have elected to withdraw our original $1,000 and essentially be playing with the $250 “on the house”. CLICK HERE TO GET YOUR RISK FREE TRADES NOW!
CLICK HERE TO GET YOUR RISK FREE TRADES NOW!
Using their basic system of signals we were able to accumulate over $10,000 in our account in just 30 days! These are better results then we have gotten with other binary signals costing 10 times the amount of what options domination is charging. For a simple $50 a month you get multiple daily signals, keep in mind they don’t send you 1,000’s of signals a day like most services as they are focusing on the quality of the signal and not just sending you a bunch of garbage signals like many of the other companies do.
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submitted by optionsdomination to optionsdomination [link] [comments]

Nadex Trading Robot is a fully automated trading software specially designed for trading profitably with Nadex Binary Options. You do not need any training or knowledge about trading binary options to use the Nadex Robot.

submitted by elena_avr to binaryoption [link] [comments]

Binary options simulator - an application which allows train of trading skills

Binary options simulator - an application which allows train of trading skills submitted by QSoftware to Daytrading [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to MLQuestions [link] [comments]

Subreddit News, Tournaments, and some CCU Mythbusting

Greetings Warriors!
Now that the (green) smoke has settled from the Y4S2 and the CCU landing, we thought now would be a good time to do a quick subreddit news post, as there are a few things to catch you up on - before Y4S3 arrives and there is more news to take the sticky post slot!

Upcoming Tournaments

First up, there are a number of tournaments happening in the next few weeks. Slayscion Gaming are returning with 4v4 and 2v2 tournaments on PC, in EU and NA regions in the next few weeks! And if you didn’t get chance to watch the last 4s tournament, you can watch the VOD of The Arena’s cross region dominion tournament last weekend here. Remember to keep an eye on Battlefy.com for upcoming For Honor events! Ubisoft have announced that the PC Dominion Series will be starting up next season, so now is an excellent time to get into competitive tournament play, and practice for the big tournaments on the horizon!

New Mods

Next, I’d like to welcome two new mods to the team, u/SenpaiKaplan (SenKa) and u/DaniUsagi. I’m sure regular readers will recognise these two, as they are both frequent contributors to the sub, with many interesting tech posts between them. We’ve been seeing a big increase in viewers and posts since the CCU, and their help and expertise will be much appreciated! Please give them a warm welcome!

Poll Posts have been disabled

Since Reddit added the new Poll option on posts, we have seen a big influx of these posts, and unfortunately 90% of them have been very low effort, normally just a title and a binary choice, which we have had to remove. Adding a “no low-effort polls” clause to rule 6 hasn’t helped with that situation, so we have decided to disable the option entirely. If you do still want to do poll the readers here as part of a discussion post, or want to gather data to find opinions on a specific question, you are welcome to include links to external survey sites (like surveymonkey or google forms) in text posts - we are only trying to cut down on low-effort posts, not genuine use of poll for interesting content.

Info Hub Update

The Info Hub has been updated with all the changes from the CCU and the follow-up patches, including the 3 new executions, new punishes, balance information on each character, and an All Attack Properties sheet which allows you to compare attacks across the cast, and contains lots of data that doesn’t fit on the individual character sheets (like hit reactions for example). We are still in the process of revamping the General Info sheet, and an update to the Viability Tables is also in the works, now that there has been a decent amount of time since the CCU for the meta to stabilise. Also planned is addition of frame advantage sections on some moves for which it is particularly relevant.
If you spot any errors, outdated info, or have requests for information you’d like to see included in the hub, please let us know by commenting on the hub itself, messaging me or the mod team as a whole, or contacting one of us on discord.

Some CCU Mythbusting

Since the CCU update, I have seen a few persistent bits of misinformation floating about, and I’d like to take this opportunity to bust a few of these myths:
That’s all Warriors, thanks for reading, and see you on the battlefield!
submitted by The_Filthy_Spaniard to CompetitiveForHonor [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to learnmachinelearning [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to deeplearning [link] [comments]

ASLAproject - a new empire in the decentralized environment of the cryptocurrency world

ASLAproject - a new empire in the decentralized environment of the cryptocurrency world
Our experts are capable of providing any advises and help to anyone who wants to join the project. We promise that our projects are not only profitable but also breathtaking. We are developing every day, do not miss the opportunity to be part of a grand project with a great future.

https://preview.redd.it/82fpaaolx2p51.png?width=977&format=png&auto=webp&s=80e78b1b89549ec3b6dbd60b0a6903c28bb49519
ASLAproject is
A decentralized ecosystem of products based on smart contracts of the Tron blockchain project for earning profit and further investing. We, the development team, are working to improve the ecosystem and develop its products. Our main task today is to create the best environment for the users to acquire money. At the same time, we do not conduct ICO and crowdfunding.
The goal is to create and implement an ecosystem with constantly updated products for your earnings, develop and implement tools for business and beyond. Much has already been done, but more still needs to be done.
Today, tokens cost less than what you want, but prices are already rising due to new product releases and community / project partners that form a solid foundation for future achievements.

Tokens and products
Our project is based on two coins that focus on all ecosystem products: ASLA and ASLAgame (Aga).
1. ASLAtrade is a binary options trading platform.

https://preview.redd.it/ga3pf8cnx2p51.png?width=978&format=png&auto=webp&s=25beb4b77b7ce0a87b9e58cd0f068f9536b6da14
ASLA is a token attached to the ASLAtrade platform, which is extracted through a unique mining system through binary options trading. In the image below, you can see the required amount of TRX spent to get a single token. Every day this amount is increasing.
Below is the menu for determining the freezing/withdrawal of tokens:
  1. When decent amount of tokens is frozen, it pays back with dividends that are collected in 40% from the platform's total pool.
  2. By withdrawing tokens to your wallet, the user receives dividends in the form of Aga tokens, which are linked to our products such as messenger, games, etc.
ASLA holders have implemented a feature that allows them to mine Aga tokens when in frozen state:
- Purchased ASLA in frozen state gives 20% of Aga tokens;
- Mined ASLA on the platform gives 25% of Aga tokens.
https://preview.redd.it/d3b543nox2p51.png?width=978&format=png&auto=webp&s=f9045017ce52341529c3b8945c4f5bf170b85135
• Trading on three cryptocurrency pairs: BTC, ETH, BTH with a choice of different transaction duration
• Freeze ASLA to receive dividends in the form of TRX/Aga of the total pool platform
• Withdrawal of ASLA for trading on exchanges, or receiving dividends in the form of Aga tokens for storing tokens on the wallet

https://preview.redd.it/707goinpx2p51.png?width=978&format=png&auto=webp&s=42cebafced5c987417408da564aae35abc72b05c
ASLAtrade: https://aslaproject.com/trading?lang=ru

2. ASLAbet is the first cryptocurrency tote with a wide range of functions based on smart contracts.

https://preview.redd.it/1gx7p62rx2p51.png?width=1920&format=png&auto=webp&s=bc94767f6223e15b25e84d00242684ca1110c1ec
Our team is working on the ecosystem for maximum benefit to the project users.
We present the ASLAbet cryptocurrency tote based on betting against people, not against the company! Bets on popular matches and favorite teams, winning percentages are formed automatically depending on the size of the bet and the number of players.
We do not limit ourselves to one direction, but also understand the interests of users. For this case, everyone will have the opportunity to create their own event, for which they will eventually receive a reward if it passes a vote among the community.
On the example of the recent match between Alexander Emelianenko and Magomed Ismailov, all those who put their bets on Alexander's victory completely lost their funds. With our platform, you would start returning your lost funds the next day, thanks to the Aga coin you received.
• Reward for each bet in the form of Aga tokens with an initial turnover of 100 TRX = 1 Aga. The mining difficulty will increase daily by 1 TRX.
• Even if you lose your bet when you freeze Aga coins, you will receive 30% of the profit from commissions.
• Referral system 15% of the system's profit.
Link: aslabet.comOfficial channel: t.me/aslabet

3. ASLA Messenger is a messenger with functionality for earning project tokens.

https://preview.redd.it/a6xghlktx2p51.png?width=655&format=png&auto=webp&s=3921b6be7d7f4bda454e1926b46cff91124e2c7d
Literally everyone uses messengers and communicates with their loved ones on a regular basis. We have made sure that you get paid for this. Communicate and earn - the perfect combination for the user.
At this stage, an alpha version of the app has been released for use with the earnings feature already available. The beta version is expected to include audio and video calls, a more functional interface, chats and channels, and much more.
• Complete tasks inside the messenger to get rewards in the form of Aga tokens.
• The most convenient and modern design of the app.
• Withdrawal of earned tokens to your wallet.
Play Market: https://play.google.com/store/apps/details?id=com.aslaproject.messenger&hl=en_US
App Store: https://apps.apple.com/ru/app/asla-messengeid1527990589

4. Games based on blockchain technology for earning cryptocurrency
https://preview.redd.it/7o74tpoux2p51.png?width=977&format=png&auto=webp&s=83305e57fdca9c312d3d271e35d5a88e08a705f2
Today, games are of great importance, this is a new way of gaming, in which we want to participate. Our main goal is to implement a gaming platform with games for earning money. Play with your friends, compete against the best players and earn cryptocurrency for winning your favorite games.
Currently in development are games such as "Heads and Tails", "Rock, paper, scissors", Dice, backgammon, chess, and larger projects – shooters with maximum gameplay, etc.
• A set of games of various genres with earnings
• Competitions, tournaments and other events with rewards in case of winnings
• Maximum decentralization and the ability to view all smart contracts
Earn money with us just playing, it's really easy!

5. ASLAbank - is a cryptocurrency bank for users with broad functionality.
The project team is developing a unique cryptocurrency bank for the community. The product's idea is that users will be able to borrow cryptocurrency with different priority from ASLA token holders. The user's reputation will grow with the number of completed applications.
All permits, lawyers, consulting. Everything is in the legal field of Russia. We aim to cooperate on a long-term basis within the framework of current legislation on the territory of the Russian Federation.

6. ASLAforum - is a project forum for discussing Internet industry projects.
There are many developing projects in the digital world that have a place to be known to their users, and these are Russian-language projects. To do this, a forum for reviews, analyses and discussions of these projects will soon be implemented, where users will earn cryptocurrency for this.
The main goal of the forum is to provide the community with visibility of all worthy projects, both those that have just started their existence and those that have years of work behind them. Consulting, assistance, training, as well as personal webinars from the project on the topic of earnings will be in one area. Users will be able to discuss, review, and share their thoughts about a particular project so that it can get a well-deserved reputation.

Etc:
Today, you can buy ASLA coins on two exchanges:
Poloni Dex: poloniex.org/exchange?id=392
Nolex: nolex.org/main/ASLATRX.html

Our project is open for suggestions and cooperation.
If you wish, you can become a partner of ASLAproject and get mutually beneficial opportunities for your goals.
To contact us: [aslaproject01@gmail.com](mailto:aslaproject01@gmail.com)

Our plans for the future are reflected in the roadmap. Subscribe to our social networks to keep up to date with all the project news, as well as not to miss important information, live broadcasts and interviews with project representatives.
Ask the team a question or contact support: https://t.me/aslasprojectrus
Official website: aslaproject.com
Whitepaper: aslaproject.com/public/white-paper-ru.pdf
submitted by ASLA_Project to u/ASLA_Project [link] [comments]

Electrician / Foreman at a Union Shop (Minneapolis, MN USA)

Salary: $97,000
Years of experience: 8.0
Recommended Education: Apprenticeship

What’s a day in the life for an electrician?

I’m a foreman, which is a much different role then if I was still a journeyman electrician. As a foreman, it’s more managing than electrical work. My goal is to make project managers happy, keep everyone focused (so the customer is satisfied), make sure our shop is making money, and deliver something that I can be proud to stand by. The electricians beside me need to be enjoying their day; otherwise, they will resent me and put in sub-par work. Part of what I do is to try and keep things interesting, so my team doesn’t lose interest. I do this by giving guys responsibility, because there’s pride associated with everything they do, or when things are more mundane, creating competitions.
The best thing about being a journeyman is that when you go home, you don’t have to think about work AT ALL. When you wake up, you don’t think about work; even when you drive to the job site, you don’t have to fire up your brain until the clock starts. But, as soon as you start working, you’re in a different world, and none of the problems from your home life consume you because you’re too busy problem solving, you’re dealing with something different every couple hours.
On a typical day, you wake up early as hell and drive to your job site. The site might be a mudhole, or it might be a nice parking garage, but it changes every couple of months, you’re never in the same situation. For example, let’s say I get assigned to work at General Mills at a factory assembly line with some issues and have to work on it for three days. That might be a casual experience where they have prints, plans, and diagrams to look at, and you follow the instructions and install it. Or, you might be working for that customer and BOOM, an entire assembly line goes down, which prevents thousands of chocolate bars from being made. You now have workers standing there, and your job is to get that line fired back up, quickly. You need to be able to walk into that environment and figure out how to approach it safely. I go through a mental checklist: turn the power off, determine what’s feeding it, find the electric room, what kind of equipment is needed, how many motors there are, what caused the problem, isolate the source, etc. At some point, you go on auto-pilot, and your brain solves the issue. There’s also more thought to it; you need to quickly determine if you can fix it today, how soon you can get the part, whether there’s a temporary solution, or whether you have enough knowledge to fix it.

What’s the best part of being an electrician?

Don’t be afraid to try it; once most people get into the work, they end up liking the profession a lot more than they ever expected. The variety of backgrounds I see seems to be increasing; this includes first-generation Americans, people looking for new careers later in life, and many more women. There’s a lot of job stability, and it’s something that isn’t going away because there’s a huge need. You’ll challenge yourself physically and mentally, and will likely receive opportunities you would never see elsewhere. If you have a lot of ambition, it can be your passion, but it also doesn’t have to be.
When you’re starting, you need to push through your training until you’re able to get your license. Once you get your license, you can’t have it taken away, and there’s a lot of freedom that comes with it, so it’s worth sticking it out.

What’s the downside of being an electrician? Words of caution?

For most people trying to get into the trades, I recommend thinking about the long-term implications. Don’t go after the first big paycheck you get offered; if the situation isn’t what you’re looking for, keep looking. Also, you need to be continually aware of what you’re doing, attentive, and present to the task. You learn to be hyper-focused.
If you’re looking to get experience and you can’t get into a union program, there’s no problem working non-union. If you’re going to be a non-union worker, you have to have more ambition; you have to be more confrontational, vouch for yourself, ask your employer for more, and there’s no one backing you with negotiated contracts. If you want an excellent education that’s varied and hope to prevent yourself from getting into dangerous situations, the union might be the way to go. Non-union, there’s no curriculum, and you have to do additional research. All things aside, there are some great non-union workers out there. You can do it if you have the drive and determination.
If you’re somebody who has no mechanical aptitude, doesn’t like to spend your free time figuring out how things work, or you’re afraid to fix something that’s broken, it might take you a while to enjoy being an electrician. You might still be good at it, but it might not come naturally. You need to have a strong work ethic if you want to have consistent employment and want to be a good electrician. You don’t need to be a perfectionist, but you need to try and do your best.

Describe the path you took to become an electrician

Before I started, I had a vague idea of what trade work looked like, and I tried to visualize myself as one of “those guys.” I wasn’t necessarily thinking, “do I like electricity?” or “do I want to work on electrical hazards?” I figured I could probably do it and gave it a try. Many people expect that if you’re blue-collar and your parents are blue-collar, then you’re the next candidate to be a trades worker. But, that’s an outdated idea. Most people don’t get into the trades because they want a high income, but when you tell anyone how much you make, they’re generally surprised.
Because there’s such a demand for electricians, there’s limited space in apprentice training programs. As a result, there are many pre-apprentice (or unindentured apprentice) training programs emerging to ensure that the people who get accepted are likely to see it through. How much pre-apprentice work you need is location dependent (usually 6-24 months), so if you want to get in without this, you may need to research various states or cities.
I completed six months of pre-apprentice work and was able to sign up because you no longer needed to complete the full two-year program. Due to high demand (in Minneapolis), they lifted the requirement so long as you could pass their interviews and entrance exams.
Once you’re accepted, you have five years of apprenticeship. Each year brings a different program, a pay increase, and every six months, they switch you to a new contractor. Some of the content included learning various installations, people skills, safety, bending pipe, physics/math, high voltage, DC/AC theory, ladder logic, binary, national/state code, etc. But, the biggest thing is learning how to problem-solve, which goes well beyond the codebook. You get a taste for more technical aspects, but you can also really dive into topics like programmable logic controllers, solar, building automation, data, etc. There are lots of certifications for each of these, and in the end, they prepare you very well to take the state exam for the journeyman license.
Starting as an apprentice allows you to make money right away. In my first year, I started at $15/hour, which doesn’t include your perks: paid vacation, pension, annuity, an unemployment slush fund, full health coverage for family, etc. Fast forward to today, I make $48.50/hour as a foreman or $46.50/hour as a journeyman. The pay rates are standardized through the union by location. What’s most in-demand right now is for low voltage and inside wireman, which is what I am. But, where you end up depends on your ambition and what you want to do. A lot of guys are content just being a worker; they don’t mind being laid off or moving from contractor to contractor. My preference is to work for a contractor that I like; I work hard to have that security.
In terms of options, you can be a journeyman, a foreman, a general foreman (required when you exceed a specific crew size), or a master electrician (requires 2,000 hours of additional work and a master’s license). As a master electrician, you’re likely to get paid more, but you’re bonded to the shop, so you may not do much electrical work, and you will take all the heat if things go wrong.

What’s the future outlook for an electrician?

Since COVID hit, our shop has had to adapt by taking on less profitable jobs; doing this allows our best guys to keep working and stay engaged. For example, we just did a sizable solar rooftop installation, where the work was mostly outside in a safe environment versus a busy construction site. If things start to change, and people don’t want to invest in new commercial buildings, there’s always going to be a need to build homes, apartments, hospitals, schools, or facilities that need constant maintenance. The trades might take bites and hits along the way, but if you’re reasonably smart with your finances, you’ll be able to make it through any tough times, which I’ve never really seen. If need be, I could always find low voltage or travel to where the work is. I know several guys who went to Australia to improve the electric grid and help train locals. The scenario is a little extreme, but there are always opportunities.
Ultimately, technology isn’t going to slow down; electrical equipment will always get better, faster, cheaper, and more efficient. Electrical work is nearly impossible to automate, so that can be a good thing if you’re coming from an industry that’s in decline.

Anything else?

If you’re trying to change careers, analyze the things you don’t like about your position now, because if you’re not coming from a trade, you could be in for a big surprise. I’ve observed that service workers who work in fast-paced environments and do a lot of multitasking do very well. You have to enjoy physical work; you have to be willing to work in many different environmental conditions, whether that’s filthy outdoor dirt, extreme temperatures, hot and cold, uncomfortable positions, etc. You have to be able to see the bigger picture so that your work doesn’t become mundane.
Job/Career Demand - 5.0
Positive Impact - 4.0
Satisfaction - 4.5
Advancement/Growth - 4.0
Creativity - 4.5
Work-Life Balance - 4.7
Compensation & Benefits - 5.0
Work Environment - 4.0
---
For anyone with questions, I am unfortunately not the writer of this content. We are working on building messaging capabilities on our website, which will hopefully be live in a couple of months. If there are any urgent questions, I can reach out to my friend directly :)
submitted by PathViz to JobProfiles [link] [comments]

Sympathy for the Drow - De-Vilifying the Dark Elves

The "Evil" races in DnD have always rubbed me kinda the wrong way. Partly once I learned that a lot of them come from racist stereotypes (Orcs, Drow, and Goblins in particular) and also just because it doesn't make sense to me. Even Nazi Germany had variation and dissenters and it only lasted for 12 years. Why would a clearly evil society never change over hundreds of years? In my opinion, a story is only as good as it's villains. So, I've set out to try and make the traditionally evil races slightly more believable and even sympathetic in places.
Now, I've not been a DM very long, only like three years. But the first campaign I ever ran was through Curse of Strahd which paints the Vistani (an itinerant society heavily based on the real world Romani) as a conniving group of thieves, murders, and vampire-worshipers. Thankfully, I found through reddit and other sites how to steer away from the racists depictions of the Vistani and making them seem like, at worst, opportunists. So, I hope to be able to do that with some other of the classic DnD antagonist races.
I've read some other phenomenal post on here about evil races that totally inspired me as well. There's a great two part post about Decolonizing D&D which I adore. The post about alignment is easily my favorite. There's a couple great ones on Orcs and Yuan-Ti too so if some of my ideas are lifted from them, I hope y'all consider it flattery instead of theft. So, here are some primer notes before I get into it.
For creating the Dark Elves, I tried to keep as much as I could from the books. Obviously some stuff has to get thrown out the window though. I also tried to standardize calling them Dark Elves instead of Drow partly because I feel like Drow has a much nastier sound to it and calling them Dark Elves follows the naming convention with the High and Wood Elves. I tried to model them after real-life matriarchal societies like the Mosuo people of China and their pantheon after real deities like the Greeks, Romans, and Norse. I also quickly realized that building a society is inseparable from geography. Where a people are from effects their language, values, mythology, history, and family structure. I've tried to outline details I think are necessary to making this society realistic while leaving it open ended enough to be place-able in different worlds with relative ease. All that aside, lets get into the meat of it.

The Dark Elves: Elven Outcasts

The Elves are a varied and magical people that come from many planes and many environments within them. But none are met with more distrust and fear than the Dark Elves. Easily set apart from their cousins by their charcoal or pitch-black skin, pink-red eyes, hair of grays and whites, and shorter stature, these people have earned a reputation as killers, thieves, demon worshipers, and liars. But history is a cruel mistress, something the Dark Elves know better than most.

The Divine Divide

As the legends go, when the world was still young, Corellon Larethian lived on the Plane of Arvandor with his fellow Primal Elves. They were wild and mutable, emotional and free in all things. They changed shapes at will, gave and took freely to and from the world, and never stayed in any location too long. They wandered to and fro, scattering their peoples across almost every plane. However, this unbridled freedom was not without a price. Arguments, feuds, and small scale wars were incredibly common between them. Some elves would find themselves stranded on far off planes after most of their companions impulsively decided to leave. Their self serving impulses drove them to often completely disregard the needs or wants of others if they went against their own desires. And their reckless revelry was wreaking havoc on the natural world with Elven parties decimating whole planes of edible plants, wild game, and drinkable water.
One such Primal Elf began to see the destruction of their ways and talked to other elves about their actions. Slowly, this Elf by the name of Lolth amassed a small following of devotees that saw the negative ramifications of their inconsiderate freedom. Lolth and her followers agreed to take on fixed forms to show recognition of the dangers that impulsivity could bring. Lolth led this small group of devotees to Corellon to ask for his support. Now, Corellon did not lead these Primal Elves: he was just as wild as the best of them and did not take kindly to others telling him what to do. But he was the First Elf ever born and was universally respected amongst the Primal Elves and if Lolth could convince him, others would surely follow. Corellon listened to her proposition and agreed that they should change to prevent more destruction and conflict, but refused to order his kinsfolk into any action. He was an Elf, same as all of them, and he wouldn’t dare order around his family. He balked when Lolth asked him to take a concrete form as a show of solidarity and brushed her off as a killjoy.
Lolth was unsatisfied with this outcome and her following set out to convince each Elf to change their ways to preserve the beauty of the worlds. However, without the support of Corellon, many elves refused her offer. Her anger grew with each failure and her opinion of Corellon turned sour, something she made no attempt to hide from her Elven siblings. Now, Corellon is a proud god and once he caught wind that Lolth was bad mouthing him in an attempt to win over others, he became enraged. He railed against Lolth calling her a snake-tongued thief and Lolth called him incompetent and cruel. Their tempers flared and all the elves chose sides between Corellon’s freedom and Lolth’s stability. During this great debate, the Primal Elves turned to violence. The Dark Elves maintain that Corellon’s side threw the first blow, while the High Elves claim that it came from Lolth’s side.
No matter the source, this violent outburst soured relations between Lolth and Corellon forever after. He cast her and her followers out of Arvandor and barred her from ever returning. He also cast all but his most trusted kin from Arvandor, forcing them all to live lives on other worlds out of fear of another perceived insurrection. Thus, the Seldarine remain in Arvandor to judge the souls of Corellon’s faithful when they die and Lolth takes refuge in Arcadia with her pantheon where she minds the souls of the Drow. Corellon’s faithful call her pantheon the Dark Seldarine, while her faithful call it the Myrkalfar.

Myrkalfar: The Spider Mother’s House

Lolth the Spider Queen is the unquestioned head of the Myrkalfar, with all other deities seen as her divine family. Lolth is considered at times to be fickle or even cruel, but her ire is never gained without good reason. A very involved deity, her followers constantly search for signs of her favor or scorn in everyday life. When a Dark Elf contemplates a risky or controversial decision, they consult priestesses or perform their own rites which often gives them direct and succinct answers. She serves as an example to matriarchs of Drow families as demanding yet understanding, punishing yet guiding. She asks for a lot of her priestesses, demanding they be an unflinching example of everything a strong leader should be. The Myrkalfar is often presented as a divine household, with Lolth as the matron.
Keptolo is the consort of Lolth and considered to be the ideal of what a male should be. Beautiful and kind, strong and hard working, he helps Lolth in everything she does. Sometimes he serves as a messenger, other times as an agent of redemption, sometimes as a divine healer. When a Dark Elf is tasked with a divine charge, he is usually the one to deliver the message and guide them through their charge. He serves also as a fertility deity and is often worshiped by women or men seeking a child. Outsiders see him as a weak and subservient husband to Lolth, but his faithfulness to his matron is considered a virtue and his status as a “husband” is relatively alien to the Dark Elves as they have no binding marriage in their society.
If Keptolo is the agent of Lolth’s mercy, Kiaransalee is the agent of her vengeance. She is the eldest daughter of Lolth and Keptolo and one that Dark Elves pray to when they feel wronged. Only the most binding and serious contracts are signed under her name. To break an oath made under her name is sure to bring destruction. She is also the governor of the dead, judging the souls of those passed in the afterlife. She opposes the mindless undead created by mortals, but spirits and revenants that return to finish unresolved business amongst the living are considered under her protection. Should a Dark Elf encounter a returned spirit that is seeking vengeance, it’s their duty to leave them on their way and pray that the spirit isn’t there for them. This reverence of certain undead is something many outsiders consider downright evil.
Selvetarm is the Dark Elven warrior goddess and youngest daughter of Lolth. Often depicted with eight arms, she represents the pinnacle of hand to hand martial prowess, but often is without restraint. She serves as both an inspiration for warriors, and a warning. Vhaeraun is the eldest son of Lolth and governs ambition and stealth. Both of these traits are not necessarily vilified, but worship of him is highly scrutinized. Haughty and rash, tales of him often include deceiving his fellow gods for good and ill and more often than not are cautionary ones. He’s depicted as wearing a mask, either as some punishment for endangering Lolth and her family or to hide his identity for various schemes, possibly both.
Malyk is Lolth’s youngest son and a youthful deity of change and growth. He’s often seen as a bouncing young boy that Lolth and her family have to reign in from wild misadventures. His freedom and curiosity is often seen as a double edged sword, both gaining him great riches but also putting him in tremendous peril. He has strong ties to sorcerers and when a child is born with innate magical talent, he is often the one thanked for it. He serves as an outlet for a Dark Elves youthful chaotic nature, but also warns them of the ramifications of their actions.
Ghaunadur is a strange figure in the pantheon. Their place in the family is a bit of a mystery, sometimes called the sibling of Lolth, or her child, or even as Lolth’s parent. What makes them truly unique is that they are a formless deity, something that Lolth once warred with Corellon over. The legends go that when Ghaunadur joined Lolth, they refused to give up their changeable nature. When questioned, Ghaunadur pointed to the slimes, oozes, and formless creatures of the world and said that they wished to protect them from the Elves and the Elves from them. Lolth agreed, cementing their position as the deity of the changing forms of nature. Their favored creature is the ooze, but they govern all natural creatures. Dark Elves often pray to Ghaunadur to protect them from the creatures that lurk in the depths of the forest.
Zinzerena is Lolth’s sister and is the goddess of poisons, illusions, and magic. Viewed as an elderly and patient figure, she often serves as council to Lolth in desperate times. She’s said to be the mother of all poisons and venoms and her teachings are all about finding the wisest solution to a problem. Zinzerena teaches that even though the spider is small, it’s bite can still fell a panther. Despite her perceived age, she’s considered the younger sister of Lolth and is thought to be incredibly quick and nimble: a reminder that not everything is as it seems.
Eilistraee is Lolth’s niece and daughter of Zinzerena. Considered the black sheep of the pantheon, she serves as a goddess of redemption and moonlight. Dark Elves that turn their back on their family or scorn traditions will sometimes find themselves turned to Driders, half-spider half-Dark Elf creatures shunned by all. Eilistraee is said to watch over these creatures and if they are repentant, offer them challenges that they could complete to redeem themselves. Lolth often views her with contempt or mistrust, but never hates her and maintains her place in the pantheon. Dark Elven faithful rarely worship her as the others. She’s also one of the only deities of the Myrkalfar to claim no animosity toward the Seldarine and their faithful.
Spiders are the sacred animal of Lolth and are often used as an example of social order and the importance of family bonds. Each strand of silk serves the web as whole. More literally, the giant spiders of the Underdark are multifaceted and incredibly useful creatures. Serving as beasts of burden, war steeds, meat producers, household guardians, and silk producers, they are present in almost every facet of society. Their silks are used in everything from wound dressings to armor to architecture. To kill or steal another family's spider is considered akin to stealing a member of the family. Smaller and more poisonous spiders are often kept in temples and their webs are used as divining tools for priestesses.

Elven Exiles

The recorded history of the Dark Elves is full of contradictions from High Elf and Dark Elf sources. What historians can agree on is when the Elves of the Prime Material arrived, the followers of Lolth secluded from their Wood and High cousins and retreated into the Azelarien, also known as the Green Sea in Common. A massive forest, nearly 1 million square miles of dense and vibrant trees, that grows denser and darker the farther in one ventures. For countless eons, the High, Wood, and Dark Elves lived in relative harmony in their own corner of the world. High Elves lived near the forests in towns and villages, the Wood Elves lived in the lightly forested outlands of the Green Sea, and the Dark Elves lived deep in the central forests which was so dense that very little light reached the forest floor.
As time passed and their villages turned to cities, the High Elves began expanding into the forest, chopping some down to build homes and heat their furnaces. This began pushing into the territory of the Wood Elves and eventually the Dark Elves as well. These two peoples formed a shaky alliance to push back the expansive tide of the far larger High Elven armies. This alliance proved successful however and the High Elven forces began losing ground. What happened next is a matter of some debate. High Elven historians attest that the Dark Elven armies used Wood Elven soldiers as unwitting bait to lure the High Elven armies into a trap, thus causing a schism between them. Dark Elven historians state that the Wood Elven armies turned on them after the Wood Elves met in secret with High Elven leaders and bargained for their independence. Some Wood Elven historians claim that after a brutal defeat on the field, they were met by High Elven dignitaries that offered them clemency if they turned on their allies. They initially refused, but after the dignitaries threatened to make the same offer to the Dark Elves, they had no choice but to accept. No matter the cause, the histories agree that the Wood Elves turned on their erstwhile allies and helped push the Dark Elves into a rapid loss of ground.
Facing the might of the two armies with their own relatively small one, the Dark Elves were beaten into a hasty retreat into their own territory. Losing every open encounter, the Dark Elf matrons developed a new strategy of combat. The armies switched from training as many as quickly as they could, to training only a select few in multiple different forms of combat and magic. As the High and Wood Elves advanced into their territory, they quickly found their supply lines cut out from under them, their soldiers ambushed while sleeping, their scouts captured, and their leaders assassinated. And even if they would make it to a Dark Elf settlement, they would find it abandoned and booby-trapped, warned by their fast and silent scouts. If the Dark Elves couldn’t face their enemies head-on, they would weaken them with quick and decisive strikes.
Eventually, the war ground to a stalemate. The High Elves couldn’t push into the Dark Elf territory far enough to capture any cities of note without taking severe casualties and the Dark Elves were only managing to hold the invading armies back and couldn’t muster a force strong enough to push back to the enemy capital. Thus, the war cooled into a tense peace. The leaders came together to draw borders, but neither side fully forgave nor forgot one another’s actions. High and Wood Elves viewed the change in tactics by the Dark Elves as an unethical violation of the standards of war. The Dark Elves felt a particular animosity toward the Wood Elves, considering them backstabbers in their darkest hour.

Dark Elf Families: Matrons of Order

The Dark Elf society, to an outsider, looks like an oppressive and cruel society of slave traders and backstabbers. But the truth is more subtle. The Dark Elves value tradition and filial piety above almost all else. To a Dark Elven citizen, their family name is their most valuable possession and they are taught from a very young age that to look after their parents and their younger siblings is the highest virtue. Ancestors that have achieved great things often have shrines in a household alongside the gods themselves. A Dark Elf going against the will of their family is considered one of the highest taboos and often causes them to be outcast from Dark Elven society as a whole. Dark Elf society is matrilineal meaning that the eldest woman in each family is revered as the household leader and receives great respect from her family and society. This also means that the males of the society don’t inherit wealth as frequently as the females.
Dark Elven families are quite large, often with multiple generations along with aunts, uncles, and cousins living in the same household. New children almost always reside with their mother. Males of the society are expected to care not for their own biological children, but for the children born to their sisters, aunts, or nieces. This results in a striking amount of sexual freedom for both men and women, but is often viewed from the outside as promiscuity. The Dark Elves do not marry in the traditional sense, instead favoring long term partners with one another that can end at any time with no concerns to material wealth or ownership.
However, to become a member of a Dark Elf family is not entirely a matter of heritage. When a family that cannot support another child has one, they are often adopted by more well to do families and raised as one of their own. These adopted children are considered just as legitimate as if they were born into the family. Also, should a family lose all their heirs or become destitute, they often ask to become assimilated into other families for their own safety. The latter is considered a morose ceremony as the members of the smaller family forsake their surnames. To take in such a family is both an extreme honor and grim burden, as it means ending another family's line.
The borders of Dark Elven civilization only goes so far as there are trees so many newer up and coming families have expanded underground, a difficult and slow endeavor. This has put multiple houses at odds with one another for territory. However, Dark Elves do not tolerate open hostility between families as they have a very strong sense of collective identity. Dark Elves do not war against fellow Dark Elves, same as a spider does not fight its own web. This leads to many tensions and conflicts needing to be resolved in other ways. Most families will attempt a diplomatic solution, but when that isn’t an option, sabotage and coercion is the favored outlet. Murder is considered a bridge too far by most houses, but subterfuge in almost every other facet is, while not accepted, tolerated.
Legends of Lolth’s rebellion and the tension of their enclosed territory have imbued the Dark Elves with a strong sense of symbiosis with nature and conservancy. Sustainable living is the cornerstone of Dark Elf society. In the wild, no creature is killed or plant destroyed unless it’s a matter of self defense or necessary to survival.

Dark Elven Sex and Gender

As with many Elven peoples, sexuality is seen as a fluid and non-binary matter. Same sex relationships are usually seen as just as acceptable as male-female relationships. Since Dark Elves have no marriage structure, same sex life partners are common and widely accepted. Inheritance is passed along by the family as a whole, not linearly, meaning some houses may have matrons with no direct biological descendants while still serving at the elder matron. Power dynamics in relationships are still a factor, with the elder female in a gay relationship considered slightly above their partner socially and is seen as the inheritor in cases of property or genealogy. Male same sex relationships are accepted with little controversy. Since children are passed down their mothers line, the males have no social obligation to sire an heir as with other societies.
Transgender and transexual Dark Elves are met with slightly more controversy. Lolth’s rejection of the Primal Elves mutable forms is sometimes cited against transgender and transexual Dark Elves. Ghaunadur, however, is considered the patron god of these people and teaches that just as they are part of nature, they can change their forms. Many of these people join the religious order of Ghaunadur, serving in various roles both in religious ceremonies and as forest guides. Some even consider them to be blessed by Ghaunadur and are highly sought after in forays into the forests for protection. Children born to transgender Dark Elves are still expected to be a part of their eldest mother’s family or eldest father if no woman is part of the union.

Slavery Amongst the Dark Elves

While the Dark Elves do take slaves, their slavery doesn’t look the same as many other societies. When a family becomes indebted to another and they cannot pay off the debt, a member of their family, usually male, will be sent to work for the owed family. They give him room and board and are expected to care for him as if he were one of their own. He’ll work for them for an agreed upon amount of time before returning to his native family. Injury or misuse of this person is often grounds for them to leave and the debt to be nullified. Children born to servant fathers needn’t worry about inheriting their father’s status since they’re considered to be their mother’s child. On the rare occasion that a female servant has a child while in servitude, the child is returned to the mother’s family to be raised by her family while she works off the remaining debt. Some trade of servants does occur between houses, with indentured servants being traded for goods or services or even other servants of special skills, but the family of the servant reserves the right to veto such a trade for any reason.
During their frequent clashes with external armies, the Dark Elves do sometimes take prisoners of war, though very rarely are they used for slave labor. They never bring them back to major settlements, often keeping them on the outskirts of their territory to prevent them from learning critical knowledge of their territory. Most prisoners are held as bargaining chips to be traded for passage, supplies, or captured Dark Elves. Captured military leaders are sometimes brought to Dark Elven cities to be tried for their crimes against their people.

Dark Elven Government: Independent Houses

Unlike many other cultures, the Dark Elves lack a centralized government. Societal etiquette govern the standard for how certain crimes and disagreements should be handled, but each family unit acts as its own governing body. Disagreements within families are thus resolved internally. Inter-family disputes are resolved in multiple different ways. Most often, the two matrons of the family will meet and agree on terms to fairly compensate both sides. In cases when these talks deteriorate, the High Priestess of Lolth is often called to serve as the mediator and serves as the ruling body between disputes. Her rulings are final and indisputable, as she is considered the mouthpiece of Lolth’s will.
In times of crisis, historically the many houses of the Dark Elves have convened to discuss threats to all of Dark Elven society. This is uncommon as it’s difficult logistically to gather all the matrons in the same place at the same time, so often houses are represented by either the second eldest woman of the family or the eldest daughter of the matron. The High Priestess of Lolth often resides over these meetings as an arbiter in the event of split decisions or in delivering guidance from Lolth herself.

There's my take on the Dark Elves. Any comments, suggestions, questions, outrages, and critiques are welcomed. This is my first comprehensive look at a whole race so if I've missed things, I'll try and patch them up. I'd like to do similar things for Orcs, Goblinoids, Kobolds, and others so those might be seen soon. Thanks!
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What You Need To Know To Get Your Start In The Foreign Exchange Market

You don't need a lot of capital in order to get started. This is one of the reasons why this market is so appealing. With minimal risk, you can start making profitable trades in almost no time at all. Moreover, you can even begin the process of implementing transactions without doing a whole lot of research, particularly if the risk for each trade is low and you have binary options experience and strategies that you can simply roll over.
This, however, doesn't mean that you should simply dive right in before receiving the necessary training. There are definite differences between binary option and currency exchange trading, even though they share a few striking similarities. There are countless factors that can impact currency prices and this makes it important to learn all that you can about foreign events. In a way, it is not unlike entering a high risk foreign market with high profit potential.
In addition to going through the learning process, you have to identify a few worthy sources of information. This is how you will stay abreast of changes in foreign policies and gross domestic products among other things. The more international information you glean from a reliable source, the easier it will be to predict the price movements of your selected currencies with accuracy.
The next step is to use a trade simulator. This is a platform that lets you implement trades without actually risking any cash. It gives you the chance to test your sources and see how well your trading theories will play out. It also allows traders to test out different trading strategies in order to identify the ones that they're most comfortable using.
Your risk tolerance is very important in this market, just like it is in any other. Try to find out exactly how much risk you can comfortable take on before you start making irrational decisions. Understanding and honoring risk tolerance is always key for maximising your profits.
Start by searching for a few reputable option in training for Forex trading online. The learning process is an ongoing one and thus, it pays to look for a progressive and long-term program that can accommodate you continued growth. This is the market that never closes and thus, once you're ready to start trading profitably, you can earn money non-stop.
submitted by jeffout to ForexRated [link] [comments]

Hi everyone! I want to present you the new strategy "Rainbow"

Hi everyone! I want to present you the new strategy
Hello again! When I was at home a lot of time I was training my trading skills)) So! I found the useful and practical strategy which will be easy for beginner traders! This video on YouTube channel of my friend, well, you can CHECK IT and try!)

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submitted by JohnTrader11 to u/JohnTrader11 [link] [comments]

The truth about algo-trading

Just to give you guys a realistic perspective of what a project like Retard Bot really is up against, and the difficulty of printing free money...
This shit is really really really realy hard. I've been coding every day non-stop for three (four?) months, spent $4K on data and drives to store backups of it, plus another $3K+ on the beast of a PC you need to process so much data, and I'll need to spend another $8-12K on buying more PCs to basically create a tiny supercompute cluster for RB to process machine learning. I'm 26,000 lines of code into this and probably half way done.
You have to be prepared to code your own ultra fast localized GPU accelerated database that outperforms everything else because traditional databases are way too slow to crunch through this much historical data the hundreds of millions of times needed to train the machine.
If you hope to have any chance of succeeding "taming the beast" you have to be an actual autist, obsessed with problem solving to the point of doing it months on end without stepping outside. They hire the most glorious cases of asperger genius autist godlords who never leave the basement except when their minifridge runs out of mtn dew and they have to go put more on mom's grocery list. The autists that figure this shit out are the type that squeal REEEE bc they've had too much human interaction when they see the mailman walk past a fucking window.
As someone once told me, you're up against companies that blow holes in the sides of mountains to route their fiber optic cables on a little shorter of a path so they can access trades with latency a tiny fraction of a millisecond faster than the next autist. Communication at the speed of light is something these quants get annoyed waiting for. Many of these companies waterboard their quants with mtn dew to force harder work, compiling research and IP over decades. These autists are chained to desks in dungeons with a steady drip of cocaine and coffee driving their little binary crunching brains to squeeze out one more hundredth of a percent yearly return.
It's either prove you're a genius or fail with this game. I don't underestimate how unlikely it is that my attempt would work. But I'm crazy enough to try and obsessed enough to follow through. I'm obviously autistic enough to put this much thought into a single post on Reddit... and this is how much I think through everything.
Maybe I can pull it off. The results are looking promising right now but it's too early to say for sure. Just know what you guys are getting into if you're going to try something like this. Sure use it as an opportunity to learn to code, but maybe don't sell your mom into slavery to scrape together the $3-5K you need to buy the historical options data for a project like this. I know what you're thinking. "My mom's worth at least $12K" No she's not. Don't lie to yourself autist. And if you succeed in something like this, don't fucking dance. For every one of us who makes it, 99 others just threw away their mom's retirement fund on PRPL calls.
https://reddit.com/link/i7ybef/video/uexycvg7dfg51/player
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Using Deep Learning to Predict Earnings Outcomes

Using Deep Learning to Predict Earnings Outcomes
(Note: if you were following my earlier posts, I wrote a note at the end of this post explaining why I deleted old posts and what changed)
Edit: Can't reply to comments since my account is still flagged as new :\. Thank you everyone for your comments. Edit: Made another post answering questions here.
  • Test data is untouched during training 10:1:1 train:val:test.
  • Yes, I consider it "deep" learning from what I learned at my institution. I use LSTMs at one point in my pipeline, feel free to consider that deep or not.
  • I'll be making daily posts so that people can follow along.
  • Someone mentioned RL, yes I plan on trying that in the future :). This would require a really clever way to encode the current state parameters. Haven't thought about it too much yet.
  • Someone mentioned how companies beat earnings 61% anyway, so my model must be useless right? Well if you look at the confusion matrix you can see I balanced classes before training (with some noise). This means that the data had roughly 50/50 beat/miss and had a 58% test accuracy.
TLDR:
Not financial advice.
  • I created a deep learning algorithm trained on 2015-2019 data to predict whether a company will beat earning estimates.
  • Algorithm has an accuracy of 58%.
  • I need data and suggestions.
  • I’ll be making daily posts for upcoming earnings.
Greetings everyone,
I’m Bunga, an engineering PhD student at well known university. Like many of you, I developed an interest in trading because of the coronavirus. I lost a lot of money by being greedy and uninformed about how to actually trade options. With all the free time I have with my research slowing down because of the virus, I’ve decided to use what I’m good at (being a nerd, data analytics, and machine learning) to help me make trades.
One thing that stuck out to me was how people make bets on earnings reports. As a practitioner of machine learning, we LOVE binary events since the problem can be reduced to a simple binary classification problem. With that being said, I sought out to develop a machine learning algorithm to predict whether a company will beat earnings estimates.
I strongly suggest TO NOT USE THIS AS FINANCIAL ADVICE. Please, I could just be a random guy on the internet making things up, and I could have bugs in my code. Just follow along for some fun and don’t make any trades based off of this information 😊
Things other people have tried:
A few other projects have tried to do this to some extent [1,2,3], but some are not directly predicting the outcome of the earnings report or have a very small sample size of a few companies.
The data
This has been the most challenging part of the project. I’m using data for 4,000 common stocks.
Open, high, low, close, volume stock data is often free and easy to come by. I use stock data during the quarter (Jan 1 – Mar 31 stock data for Q1 for example) in a time series classifier. I also incorporate “background” data from several ETFs to give the algorithm a feel for how the market is doing overall (hopefully this accounts for bull/bear markets when making predictions).
I use sentiment analyses extracted from 10K/10Q documents from the previous quarter as described in [4]. This gets passed to a multilayer perceptron neural network.
Data that I’ve tried and doesn’t work to well:
Scraping 10K/10Q manually for US GAAP fields like Assets, Cash, StockholdersEquity, etc. Either I’m not very good at processing the data or most of the tables are incomplete, this doesn’t work well. However, I recently came across this amazing API [5] which will ameliorate most of these problems, and I plan on incorporating this data sometime this week.
Results
After training on about 34,000 data points, the model achieves a 58% accuracy on the test data. Class 1 is beat earnings, Class 2 is miss earnings.. Scroll to the bottom for the predictions for today’s AMC estimates.

https://preview.redd.it/fqapvx2z1tv41.png?width=875&format=png&auto=webp&s=05ea5cae25ee5689edea334f2814e1fa73aa195d
Future Directions
Things I’m going to try:
  • Financial twitter sentiment data (need data for this)
  • Data on options (ToS apparently has stuff that you can use)
  • Using data closer to the earnings report itself rather than just the data within the quarterly date
A note to the dozen people who were following me before
Thank you so much for the early feedback and following. I had a bug in my code which was replicating datapoints, causing my accuracy to be way higher in reality. I’ve modified some things to make the network only output a single value, and I’ve done a lot of bug fixing.
Predictions for 4/30/20 AMC:
A value closer to 1 means that the company will be more likely to beat earnings estimates. Closer to 0 means the company will be more likely to miss earnings estimates. (People familiar with machine learning will note that neural networks don’t actually output a probability distribution so the values don’t actually represent a confidence).
  • Tkr: AAPL NN: 0.504
  • Tkr: AMZN NN: 0.544
  • Tkr: UAL NN: 0.438
  • Tkr: GILD NN: 0.532
  • Tkr: TNDM NN: 0.488
  • Tkr: X NN: 0.511
  • Tkr: AMGN NN: 0.642
  • Tkr: WDC NN: 0.540
  • Tkr: WHR NN: 0.574
  • Tkr: SYK NN: 0.557
  • Tkr: ZEN NN: 0.580
  • Tkr: MGM NN: 0.452
  • Tkr: ILMN NN: 0.575
  • Tkr: MOH NN: 0.500
  • Tkr: FND NN: 0.542
  • Tkr: TWOU NN: 0.604
  • Tkr: OSIS NN: 0.487
  • Tkr: CXO NN: 0.470
  • Tkr: BLDR NN: 0.465
  • Tkr: CASA NN: 0.568
  • Tkr: COLM NN: 0.537
  • Tkr: COG NN: 0.547
  • Tkr: SGEN NN: 0.486
  • Tkr: FMBI NN: 0.496
  • Tkr: PSA NN: 0.547
  • Tkr: BZH NN: 0.482
  • Tkr: LOCO NN: 0.575
  • Tkr: DLA NN: 0.460
  • Tkr: SSNC NN: 0.524
  • Tkr: SWN NN: 0.476
  • Tkr: RMD NN: 0.499
  • Tkr: VKTX NN: 0.437
  • Tkr: EXPO NN: 0.526
  • Tkr: BL NN: 0.516
  • Tkr: FTV NN: 0.498
  • Tkr: ASGN NN: 0.593
  • Tkr: KNSL NN: 0.538
  • Tkr: RSG NN: 0.594
  • Tkr: EBS NN: 0.483
  • Tkr: PRAH NN: 0.598
  • Tkr: RRC NN: 0.472
  • Tkr: ICBK NN: 0.514
  • Tkr: LPLA NN: 0.597
  • Tkr: WK NN: 0.630
  • Tkr: ATUS NN: 0.530
  • Tkr: FBHS NN: 0.587
  • Tkr: SWI NN: 0.521
  • Tkr: TRUP NN: 0.570
  • Tkr: AJG NN: 0.509
  • Tkr: BAND NN: 0.618
  • Tkr: DCO NN: 0.514
  • Tkr: BRKS NN: 0.490
  • Tkr: BY NN: 0.502
  • Tkr: CUZ NN: 0.477
  • Tkr: EMN NN: 0.532
  • Tkr: VICI NN: 0.310
  • Tkr: GLPI NN: 0.371
  • Tkr: MTZ NN: 0.514
  • Tkr: SEM NN: 0.405
  • Tkr: SPSC NN: 0.465
[1] https://towardsdatascience.com/forecasting-earning-surprises-with-machine-learning-68b2f2318936
[2] https://zicklin.baruch.cuny.edu/wp-content/uploads/sites/10/2019/12/Improving-Earnings-Predictions-with-Machine-Learning-Hunt-Myers-Myers.pdf
[3] https://www.euclidean.com/better-than-human-forecasts
[4] https://cran.r-project.org/web/packages/edgaedgar.pdf.
[5] https://financialmodelingprep.com/developedocs/
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IM Academy (Formally known as iMarketlive)

Hello.
There have been both positive and negative comments about IM Academy. Some people believe it's a pyramid scheme while others believe it's the real deal.
I'm here to give my thoughts on what I have experienced since joining IM Academy. Since day one, there has been nothing but support and motivation from every individual I have come in contact with. In our group, we have over 2000 members. I am learning A LOT about FOREX, HFX, DCX, how to be an IBO (Independent Business Owner) and more!
Do they promote? YES, they do promote the EDUCATION, the SKILL SET, the TRAININGS, the WEBINARS, SUPPORTING not just your team, but others, they promote having a positive MIND SET and reaching out to your MENTORS! They encourage you to inform others of these opportunities in the same way you would inform others of your favorite TV Show, restaurant, sports team, your favorite drink, etc. Do you HAVE to inform others of this life changing skill set that can possibly enhance not only your finances, but your way of life? NO, you do NOT HAVE to say one word about it.
The only difference between them encouraging you to tell others about the Academy, the MILLIONAIRE skills you LEARN as you EARN vs. talking about your favorite eatery is that in doing so you have the opportunity to gain residual income. For those who do not know what Residual Income is: simply put, you are able to have an additional stream of income. Who would not want to have an additional stream of income just by simply telling others what you do and they decide to join your team? All you are doing is telling someone about the opportunity to join IM Academy to learn the same skills used by Millionaires! It's up them to decide if they would like to take advantage of the opportunity or not.
There are several individuals who are making 6, 7 and even 8 figures by using the skill set and/or telling someone else of this opportunity. Some of these individuals are just like you and me and some are the Educators which we do have over 100 of. They offer LIVE TRAININGS where you can ask them questions right then and there if need be.
I have read some comments about how you can find this information on YouTube or other online platforms. Maybe you can, BUT it will NOT be well put together, it may not be as accurate and will you have access to Mentors including Millionaire mentors whenever you need help with something like you do with IM Academy?
I've also heard people have said, if you only invest $50 into your account once you get started, it will be gone in no time. More than likely, people who make these comments did NOT attend the trainings and they did NOT use proper risk management. We have SEVERAL trainings through the week and one of the most important training is called the TRADING Plan! This plan teaches you exactly how NOT to over leverage your account. It also teaches you how much to risk for your account size, knowing this will let you know how many trades per a day you can take. If you do exactly what you are taught, your account will not go negative and you would not be posting angry comments about how IM Academy is not what it says it is. Not only do we have trainings by our peers that teach you this, but we also learn this in the Academy Education with the Educators.
Simple Run Down:
Have you ever opened a Bank Account and they had you filled out all these forms that had a bunch of big fancy terminology on them? Well, that fancy terminology means, you are agreeing to allow the banks to invest YOUR money for you. In turn they give you 1% or LESS within a certain amount of MONTHS or even YEARS! You see, what they are doing is investing YOUR money in the FOREX market. They basically flip YOUR funds into profit within a matter of a few days to a few MINUTES and give you the PENNIES of what they made from YOUR money.
Did you know according to glassdoor.com, the national average for a FOREX Trader at a BANK makes around $92,327 a year. To most people that is a LOT of money, but what if I told you they have actually learned a skill that can allow them to make that in a MONTH or LESS? How would YOU like to learn how to do the SAME THING!
This is a financially life changing skill that you can learn to possibly have a better life! You Do NOT need to have experience. You DO NOT need to talk to other people to join YOUR team. This is NOT a SCAM, it is not a GET RICH QUICK solution, but you can become wealthy if you learn and put those skills to use. ANYONE can do this! I do NOT care if you did not graduate High School, if you are a Janitorial Custodian, an Exotic Dancer or a Multi-Millionaire who is looking to gain even more income. You are NOT ALONE with IM Academy. WE are in this together!
What is FOREX? It is simple the Foreign Exchange Market. It is much bigger than the Stock Market, as FOREX is worldwide and trades over $5 Trillion daily! Yes, you read that right, over $5 TRILLION daily! I think there is enough for you to get a piece of the pie.
What is HFX? HFX stands for High Frequency Forex also known as Binary Options. You can buy and sell within a matter of minutes. Which means you can gain profits or lose within 1 to 30 minutes on average. YES, that's right! You do have the possibility of increasing your funds with HFX in as little as 1 minute! BUT, DISCLAIMER: We do NOT recommend you doing this type of trade on your own. With our Academy we have highly skilled Educators who will teach you THEIR technique. Yes, that's right, we have Millionaire Educators who created their own program and will teach you how to use it in order to get significant profits with HFX.
What is DCX? DCX is Cryptocurrency, such as your Bitcoin, Litecoin, Ethereum, Ripple and more! Remember, the guy who purchased a home with Bitcoin several years ago? Well, today it's becoming a lot more popular. People are able to purchase several types of assets using Cryptocurrency, especially since over 10,000 retailers are now accepting Cryptocurrency as payment. Oh, did I forget to mention The Federal Reserve Bank of Boston is working with the Massachusetts Institute of Technology (MIT) to develop a "hypothetical" digital currency platform. Now, ask yourself, why would the Federal Reserve Bank "hypothetically" create a digital currency platform? Why would they "hypothetical" spend MILLIONS of dollars in creating a "hypothetical" anything?
Bottom line for me is, our world has and is continuing to change. When I was a child, I only saw self driving cars, smart homes, weird types of currencies being used in movies. Look around, what do you see in real life today?
I am not trying to convince you to join me and my team so that I can have residual income. I am giving you vital information to possible help secure your future. FOREX is exchanging over $5 Trillion dollars EVERY SINGLE DAY! Me, YOU, YOUR families, YOUR friends have the opportunity to get in NOW on skills that eventually everyone will have to learn at some point in their lives. You might as well do it NOW, go at your own pace, so you do NOT have to rush to figure it out later.
I sure hope this answered your questions. If you have more questions or would like to know more information, PLEASE respond to me here or send me an e-mail, TraderInTheKnow@gmail.com.
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Recent Interview on PathViz on what it's like to be an Electrician

What's a day in the life for a electrician?

I’m a foreman, which is a much different role then if I was still a journeyman electrician. As a foreman, it’s more managing than electrical work. My goal is to make project managers happy, keep everyone focused (so the customer is satisfied), make sure our shop is making money, and deliver something that I can be proud to stand by. The electricians beside me need to be enjoying their day; otherwise, they will resent me and put in sub-par work. Part of what I do is to try and keep things interesting, so my team doesn’t lose interest. I do this by giving guys responsibility, because there’s pride associated with everything they do, or when things are more mundane, creating competitions.
The best thing about being a journeyman is that when you go home, you don’t have to think about work AT ALL. When you wake up, you don’t think about work; even when you drive to the job site, you don’t have to fire up your brain until the clock starts. But, as soon as you start working you’re in a different world, and none of the problems from your home life consume you, because you’re too busy problem solving, you’re dealing with something different every couple hours.
On a typical day, you wake up early as hell and drive to your job site. The site might be a mudhole, or it might be a nice parking garage, but it changes every couple of months, you’re never in the same situation. For example, let’s say I get assigned to work at General Mills at a factory assembly line with some issues and have to work on it for three days. That might be a casual experience where they have prints, plans, and diagrams to look at, and you follow the instructions and install it. Or, you might be working for that customer and BOOM, an entire assembly line goes down, which prevents thousands of chocolate bars from being made. You now have workers standing there, and your job is to get that line fired back up, quickly. You need to be able to walk into that environment and figure out how to approach it safely. I go through a mental checklist: turn the power off, determine what’s feeding it, find the electric room, what kind of equipment is needed, how many motors there are, what caused the problem, isolate the source, etc. At some point, you go on auto-pilot, and your brain solves the issue. There’s also more thought to it; you need to quickly determine if you can fix it today, how soon you can get the part, whether there’s a temporary solution, or whether you have enough knowledge to fix it.

What's the best part of being a electrician?

Don’t be afraid to try it, once most people get into the work; they end up liking the profession a lot more than they ever expected. The variety of backgrounds I see seems to be increasing; this includes first-generation Americans, people looking for new careers later in life, and many more women. There’s a lot of job stability, and it’s something that isn’t going away because there’s a huge need. You’ll challenge yourself physically and mentally, and will likely receive opportunities you would never see elsewhere. If you have a lot of ambition, it can be your passion, but it also doesn’t have to be.
When you’re starting, you need to push through your training until you’re able to get your license. Once you get your license, you can’t have it taken away, and there’s a lot of freedom that comes with it, so it’s worth sticking it out.

What's the downside of being a electrician? Words of caution?

For most people trying to get into the trades, I recommend thinking about the long-term implications. Don’t go after the first big paycheck you get offered; if the situation isn’t what you’re looking for, keep looking. Also, you need to be continually aware of what you’re doing, attentive, and present to the task. You learn to be hyper-focused.
If you’re looking to get experience and you can’t get into a union program, there’s no problem working non-union. If you’re going to be a non-union worker, you have to have more ambition; you have to be more confrontational, vouch for yourself, ask your employer for more, and there’s no one backing you with negotiated contracts. If you want an excellent education that’s varied and hope to prevent yourself from getting into dangerous situations, the union might be the way to go. Non-union, there’s no curriculum, and you have to do additional research. All things aside, there are some great non-union workers out there. You can do it if you have the drive and determination.
If you're somebody who has no mechanical aptitude, doesn’t like to spend your free time figuring out how things work, or you’re afraid to fix something that’s broken, it might take you a while to enjoy being an electrician. You might still be good at it, but it might not come naturally. You need to have a strong work ethic if you want to have consistent employment and want to be a good electrician. You don’t need to be a perfectionist, but you need to try and do your best.

Describe the path you took to become a electrician

Before I started, I had a vague idea of what trade work looked like, and I tried to visualize myself as one of “those guys.” I wasn’t necessarily thinking, “do I like electricity?” or “do I want to work on electrical hazards?” I figured I could probably do it and gave it a try. Many people expect that if you’re blue-collar and your parents are blue-collar, then you’re the next candidate to be a trades worker. But, that’s an outdated idea. Most people don’t get into the trades because they want a high income, but when you tell anyone how much you make, they’re generally surprised.
Because there’s such a demand for electricians, there’s limited space in apprentice training programs. As a result, there are many pre-apprentice (or unindentured apprentice) training programs emerging to ensure that the people who get accepted are likely to see it through. How much pre-apprentice work you need is location dependent (usually 6-24 months), so if you want to get in without this, you may need to research various states or cities.
I completed six months of pre-apprentice work and was able to sign up because you no longer needed to complete the full two-year program. Due to high demand (in Minneapolis), they lifted the requirement so long as you could pass their interviews and entrance exams.
Once you’re accepted, you have five years of apprenticeship. Each year brings a different program, a pay increase, and every six months, they switch you to a new contractor. Some of the content included learning various installations, people skills, safety, bending pipe, physics/math, high voltage, DC/AC theory, ladder logic, binary, national/state code, etc. But, the biggest thing is learning how to problem-solve, which goes well beyond the codebook. You get a taste for more technical aspects, but you can also really dive into topics like programmable logic controllers, solar, building automation, data, etc. There are lots of certifications for each of these, and in the end, they prepare you very well to take the state exam for the journeyman license.
Starting as an apprentice allows you to make money right away. In my first year, I started at $15/hour, which doesn’t include your perks: paid vacation, pension, annuity, an unemployment slush fund, full health coverage for family, etc. Fast forward to today, I make $48.50/hour as a foreman or $46.50/hour as a journeyman. The pay rates are standardized through the union by location. What’s most in-demand right now is for low voltage and inside wireman, which is what I am. But, where you end up depends on your ambition and what you want to do. A lot of guys are content just being a worker; they don’t mind being laid off, or moving from contractor to contractor. My preference is to work for a contractor that I like; I work hard to have that security.
In terms of options, you can be a journeyman, a foreman, a general foreman (required when you exceed a specific crew size), or a master electrician (requires 2,000 hours of additional work and a master’s license). As a master electrician, you’re likely to get paid more, but you’re bonded to the shop, so you may not do much electrical work, and you will take all the heat if things go wrong.

What's the future outlook for a electrician?

Since COVID hit, our shop has had to adapt by taking on less profitable jobs; doing this allows our best guys to keep working and stay engaged. For example, we just did a sizable solar rooftop installation, where the work was mostly outside in a safe environment versus a busy construction site. If things start to change, and people don’t want to invest in new commercial buildings, there's always going to be a need to build homes, apartments, hospitals, schools, or buildings that need constant maintenance. The trades might take bites and hits along the way, but if you’re reasonably smart with your finances, you’ll be able to make it through any tough times, which I’ve never really seen. If need be, I could always find low voltage or travel to where the work is. I know several guys who went to Australia to improve the electric grid and help train locals. The scenario is a little extreme, but there are always opportunities.
Ultimately, technology isn’t going to slow down; electrical equipment will always get better, faster, cheaper, and more efficient. Electrical work is nearly impossible to automate, so that can be a good thing if you’re coming from an industry that’s in decline.

Anything else?

If you’re trying to change careers, analyze the things you don’t like about your position now, because if you’re not coming from a trade, you could be in for a big surprise. I’ve observed that service workers who work in fast-paced environments and do a lot of multitasking do very well. You have to enjoy physical work; you have to be willing to work in many different environmental conditions, whether that’s filthy outdoor dirt, extreme temperatures, hot and cold, uncomfortable positions, etc. You have to be able to see the bigger picture so that your work doesn’t become mundane.
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