Forex.com Review 2020 - Pros and Cons Uncovered

http://twitter.com/forex_in_world/status/1152869618312196097#forex #forextrading Top 9 Forexbrokerinc Reviews USA-Regulated & US Clients. »» https://t.co/7zIrCTmJWB pic.twitter.com/H0aIukZ7fP— FOREX IN WORLD (@forex_in_world) July 21, 2019

http://twitter.com/forex_in_world/status/1152869618312196097#forex #forextrading Top 9 Forexbrokerinc Reviews USA-Regulated & US Clients. »» https://t.co/7zIrCTmJWB pic.twitter.com/H0aIukZ7fP— FOREX IN WORLD (@forex_in_world) July 21, 2019 submitted by Red-its to forextweet [link] [comments]

First week of live trading and actually having a plan

Been learning forex trading now for about 2 years just reading and practising on demo, in the past 6 months however I've taken a more data driven approach and now I've just completed my first week of live trading (a small amount, nothing too big, just 200). the plan I guess is to reflect on the trades I've taken every week and use this medium as a way of peer reviewing the things I do.
Took 3 trades this week,
21/10/2020 - EURAUD and EURNZD sell
After identifying these pairs as sells, I viewed the potential sell move that could take place as a broader sell off of the euro rather than individual rising of the AUD or the NZD. For that reason, I decided to split my normal risk per trade amount (2.5%) in half and treat this as one euro sell trade. I closed my trades when they hit the previous days low, however as you can see, price continued moving down for a deeper sell off which is a lilbit depressing to see, knowing I could have made more if I had held, but meh, still bagged 3 times my risk so can't be too sad for the first trades of the first week.
Outcome (In RR):
EURAUD - 2.9
EURNZD -3.35

23/10/2020 - AUDNZD Buy
I was late on my analysis on this trade because I woke up late, however I was still able to fill the limit order after price returned back to my buy zone. The trade looked good going in, however, the moves that I trade on tend to be higher momentum moves, and a few hours into the trade I could tell that there just wasnt any steam, so I moved the stop closer to the entry (but not breakeven, to give it room to breath), anyway, the market moved against me and took me out for 0.5R, saved 50% from the initial risk size so not bad.
Outcome (In RR)
-0.5
From demo trading this strategy, I know that sometimes the trades can run for a long time. I was curious to know how those of you that have long term swing moves manage the risk and lock in profits but also give the trades room to breath, I've been messing around with using donchians as a trailing stop method however Im eager to know of other methods.
p.s lemme know if Im breaking any rules by posting this here, new to reddit and all, also, if there is any interest in it, I can post my reasoning for entering these trades if requested.
p.p.s the screenshots of the trades were moderated out, but I've reposted them on my profile
submitted by Hatchscb to Forex [link] [comments]

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Форекс-кухня от FirstTrade - инвестируй в лохотрон и потеряй деньги

Форекс-кухня от FirstTrade - инвестируй в лохотрон и потеряй деньги - развод или правда. Честный отзыв от Baxov.Net


Форекс-мошенники распространены повсеместно. Но больше всего их в интернете. Шарлатаны создают однотипные сайты, заманивают на них начинающих трейдеров и предлагают заключать сделки в фейковых терминалах. Таким мошенническим ресурсом является FirstTrade. На то, что это лохотрон, указывает множество моментов. Но давайте разбираться во всём по порядку.
E-mail адреса проекта
[[email protected]](mailto:[email protected])
Внимание! мошенники очень часто меняют адреса своих лохотронов. Поэтому название, адрес сайта или email может быть другим! Если Вы не нашли в списке нужный адрес, но лохотрон очень похож на описанный, пожалуйста свяжитесь с нами или напишите об этом в комментариях!
Информация о проекте
Что предлагают шарлатаны? Легенда такая:

Более 150 торговых инструментов для торговли на Forex. Инвестируйте в лучшие площадки мира через популярные торговые платформы.

В набор входит:
42 валютные пары;
36 акций США;
15 криптовалют;
13 мировых индексов;
6 видов металлов;
2 вида нефти.
Если перечсистать, получается инструментов меньше 150. Но какая разница? В реальности все эти инструменты фейковые, так как доступа к настоящим биржам и небержевым торговым площадкам у мошенников нет.
Торговых счетов на FirstTrade несколько. Они отличаются суммой минимального вклада и торговым набором. Условия такие:

Standart:
депозит от $500;
программы лояльности;
330 CFD & Forex.
Crypto:
депозит от $1000;
68 криптопар;
персональный аналитик.
ECN Prime (условия толком не прописаны):
быстрое пополнение;
высокая ликвидность;
узкие спреды.
Micro:
депозит от 500$;
66 торговых инструментов;
кредитное плечо 1:500.
Используют мошенники торговый терминал Ютип.

Ранее на baxov.net был опубликован обзор на это программное обеспечение. Почитать можно по этой ссылке:
https://www.baxov.net/reviews/nasha-ocenka-foreks-platforma-utip-stoit-li-registrirovatsya
Вкратце, данный терминал был разработан российскими специалистами, высокого доверия к ПО у трейдеров нет. Пользователи жалуются на то, что в коде есть дыры, с помощью которых нечестные брокеры получают доступ к личному кабинету инвесторов и задним числом оформляют убыточные сделки, тем самым грабя клиентов.
Регистрация на этом лохотроне простенькая. Аккаунт привязывается к электронной почте. В процессе мошенники просят также указать контактный телефон. Зачем? Чтобы они могли вам названивать и уговаривать потратить больше денег.
Контакты проекта
tel:+9 (876) 543 21 09
Skype: live:.cid.39f17b5872fa7b3a
Адрес: The Financial Services Centre, Stoney Ground, Kingstown, St. Vincent and the Grenadines - это просто адрес здания, нет ни номера офиса, ни хотя бы номера абонентского ящика.
Данные по сайту:
домен firsttrade-corp.com был зарегистрирован 10 июня 2020 года на Украине
Имя собственника скрыто
Разоблачение проекта
С первого взгляда понятно, что FirstTrade – это лохотрон. Во-первых, аферисты используют сомнительное программное обеспечение.
Во-вторых, владельцы сайта не опубликовали документы, которые подтверждали бы легальность их работы. У шарлатанов нет не только лицензии национального финансового регулятора, но и банального свидетельства о регистрации.
В-третьих, свои собственные документы жулики тоже забыли создать. Если вы зайдёте на сайт прохиндеев, вам сразу же предложат согласиться с cookie. Но если кликнуть по ссылке, попадёшь на страницу 404. Пользовательское соглашение, уведомление о рисках, политика возврата денежных средств, политика конфиденциальности, политика AML тоже отсутствуют. Вернее, эти документы упоминаются в подвале сайта, вот только текста договоров нет. Зато есть немного нелепо написанный отказ от ответственности.

Процитирую:

Инвестирование в группы высокого риска: (Forex) и контрактами на разницу (CFD) является спекулятивной операцией, включая высокий риск, и не подходит для каждого инвестора. Вы можете понести частичные, так и полные потери вложенных средств, поэтому мы не советуем инвестировать капитал, которым вы не можете рисковать. Вы должны знать о повышенном риске, связанном с использованием кредитного плеча. Мы настоятельно рекомендуем вам ознакомиться с условиями и услугами нашего веб-сайта, прежде чем начать пользоваться нашим сервисом.

В-четвёртых, указан фейковый адрес в Сент-Жермене и Гренадинах (офшорном государстве).
Как обманывают мошенники? Выше я уже писала, что жулики могут менять информацию в личном кабинете трейдера, заключая сделки, которые в реальности инвестор не заключал. Впрочем, шарлатаны могут вам нарисовать и прибыльную сделку. Зачем? Мерзавцы всё равно не позволят вам вывести деньги, придумав тысячу причин. Зато этот психологический трюк поможет им склонить доверчивых граждан вложить ещё больше, а значит потерять ещё больше.
Возможные потери на проекте
Итого: калькуляция возможных потерь на проекте – любая сумма, выше 500 долларов США.
Вывод о проекте
FirstTrade – стопроцентный лохотрон. У мошенников, создавших ресурс, нет документов, подтверждающих легальность их деятельности. Кроме того, реальные сделки они не проводят. Все торги в торговом терминале – это имитация.


Защищайте себя и деньги вместе с Baxov.Net
https://www.baxov.net/reviews/foreks-kukhnya-ot-firsttrade-investiruy-v-lokhotron-i-poteryay-dengi
submitted by Baxov_Net to u/Baxov_Net [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

eToro: impressions, doubts and (ignored) lessons from copy trading

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to StockMarket [link] [comments]

New graduate and need advice

Hello, I am a 21 year old who had recently graduated an engineering course last April. I had planned to take the board exams this coming month but a few weeks ago, PRC had announced that all exams that aren't medical related be moved to 2021.
Some of my classmates had decided to get a job (and are planning to quit it a few months before the boards), and this got me pressured into thinking that I must get one too. Though my intentions are more into providing for the family since this quarantine really did hit us bad.
Just a bit of background, I live with my parents and 2 siblings. Only my father works for the family and earns ~28k a month. My mother is a full-time housewife and one of my siblings is a PWD, and is not in the mental capacity to work. My other sibling is starting college this year. With the quarantine, my father earned less than the usual. Really just enough to pay our bills.
Before quarantine, I had 40k saved into my bank account from living frugally for the past 5 years of college and it has been reduced to 10k because I had to pay for the review center, books, and even covered some holes in our finances (debts).
Honestly, when I finished passing all my requirements in March, I had scoured the internet for jobs and listings and was about to jump ship into one of those virtual assistant jobs when my family and friends stopped me. They say that money can wait and I should just focus on my license.
So taking their advice, I continued my studies but also joined financial literacy webinars like stocks and forex trading (all of them are only showing the tip of the iceberg and baiting you to pay for a full course though). I had also tried my hand at game dev since I program as a hobby.
But alas, the exam is moved and we desperately need money and it got me into thinking again.
So my questions now are: 1) Should I continue what I'm doing right now? Focus on my studies and hobbies while learning about financial literacy? Our finances are draining and I do not know how long we can hold. 2) I have zero formal work experience but I love programming. I am quite adept in several programming languages like python, javascript, html, java, c, c++, etc. Is it possible to formally put these skills to the test and also improving them by working remotely? If so, how? I am not 100% confident on my skills yet but I am always willing to learn. 3) What can I do to the 10k in my savings account? I am still unsure on what the future may bring. This could be the only thing that we can classify as an emergency fund. 4) I am at the age where I want to have finances of my own but also want to help my family. In the case that I start working but still want to support my family, is there any financial advice that I must follow if I do this?
Thank you so much for taking your time to read. I am not sure if this is the correct tag but please do tell of I'm wrong and I will correct it. I also apologize if my grammar and tense are off, I am doing my best but please do tell me if something is wrong, it will help me improve.
TL;DR: New graduate, board exams moved to 2021, whole family struggling financially because of quarantine. Should I start working or continue investing in my self first?
Edit: Thank you so much for your words guys! I had decided to start applying for jobs, while still working on expanding my knowledge and skillset through tutorials and courses online! I do still plan to take the boards though just in case I might need it.
I would also like to invite other fresh grads who are unsure of their next steps to read through the comments. The people here really give good advice and their words might help you reach a decision like it did for me.
submitted by Arthur_Cross240 to phinvest [link] [comments]

Universal Bypass - Changelog

Universal Bypass

Changelog

403e242

32fce08

13.14.0

4efad54

13.13.1

fb4d832

13.13.0

970fd0c

13.12.4

13.12.3

e683d2e

13.12.2

d3af8c5

13.12.1

4eb5057

13.12.0

13.11.3

268aa5a

13.11.2

2f8dfbd

13.11.1

5630ad1

13.11.0

ecf59ee

13.10.3

13.10.2

fc95789

13.10.1

4e02ff7

13.10

c3fc857

13.9

cac4de7

13.8.5

13.8.4

8d38fd9

13.8.3

825167d

13.8.2

aedb2fe

13.8.1

ea9921b

13.8

2a0b327

13.7

7dbafa1

13.6.2

c993457

13.6.1

f612f04

13.6

35e1206

13.5.1

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7d7a91b

13.4

4e8c2d0

13.3

7adc74e

13.2.1

13.2

5cb0e9f

13.1

df11aaf

13.0.1

9166983

13.0 — The Design Update

53e92b2

12.9.2

20c7c99

12.9.1

3816a8b

12.9

1dfbe81

12.8

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12.0 — The Updated Update

11.19.1

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11.1

11.0 — The Timed Update

10.47

10.46

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10.44.1

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submitted by Hakorr to UniversalBypass [link] [comments]

Bitcoin Broker Understand the Benefits of CryptoCurrency Trading

Bitcoin is a cryptocurrency, which can be spent, saved, or invested, and it can be stolen too. Trading with Bitcoins was considered to be risky, but the current trends show that it has become a big hit the binary options sector. This decentralized currency is not regulated by any Government, or by any central authority.
What determines the price of Bitcoins?
Bitcoin's price is determined according to the supply and demand ratio. Price increases when the demand increases, the rates plummet downwards when the demand falls. Bitcoins in circulation are limited, and new ones are created at a very slow rate. Since it does not have enough cash reserve to move the market price, its price can be extremely volatile.
Bitcoin trading is popular because of -
Binary options Bitcoin trading platform
bitcoin binary options are getting familiar with popularity of these Bitcoins, and its constant fluctuating values. Therefore they are using this opportunity to offer traders with the latest volatile crypto-currency as an additional payment method. Bitcoin brokers providing crypto-currency as trading option include -
Bitcoin brokers provide a simple trading online platform. All you have to do is visit their website, enter your details, and create an account. You can start with demo account to understand the market action.
The trading screen is simple.
Is Bitcoin trading secure?
Bitcoin network is possibly the world's vast spread computing project. The most common weakness here is the user errors. Bitcoin wallet files can get lost, stolen, or deleted accidentally just like any other files in the digital form.
However, users can use sound security strategies to protect their cash. Alternatively, you could choose the service providers who offer high-level security, as well as insurance against loss or theft.
We provide latest information on Bitcoin brokers and online trading platforms on our website. Please visit our website to check out the broker reviews in order to make the right choices.
submitted by amirkhoso to u/amirkhoso [link] [comments]

UNIFICATION | $FUND | The Game Changer | The next big ONE.

https://unification.com/
Header:
You can visit and check my profile how much those early birds that read my post gained in my previous calls. There are others who called it first but I re-posted it for project awareness because they are still in low mcap before.
$xgm x5 $kai x4 $ring x2 $2key x3
Marketcap: 4.3 million
NO ICO NO PRIVATE SALES
IEO price: $0.06
https://support.probit.com/hc/en-us/articles/360031772931-Unification-UND-will-launch-IEO-with-ProBit-Exchange
Current price: $0.045
A little bit history;
Unification or $FUND started as $UND wherein they burned the 88% of their total supply (1billion) and undergo mainnet this past May 14th, swapped $UND to $FUND at 1:1 ratio and considered $UND as a testnet after swapping and, $FUND as their mainnet.
https://medium.com/unificationfoundation/the-unification-new-genesis-event-88-of-und-supply-destroyed-37fa56484396?source=collection_home---4------7-----------------------
Introduction:
Unification is a hybrid public/private blockchain that connects interoperating private WRKchains to a public Mainchain. Any independent entity can deploy useful scaled solution, via WRKchains and exchange data in closed environments. WRKchains can support any DApp/smart contract and may have their own native coin (or not), all while maintaining speed and scalability.
Technology:
Beacon - Beacons are the best choice for singularly maintained centralized databases that require an element of trust added
WrkChains - WRKChains are a Distributed Ledger Technology designed specifically for real-world enterprise and consumer adoption
TokenForge - TokenForge is Unification’s WRKChain infrastructure that allows for a consortium marketplace based on tokenization
My opinion:
For me, this token is such a vast industry. Unification created a solution for enterprises wherein if blockchain will be used in enterprise data operations, it will clogged the network because of heavy loads. And here they are, crafted the WkrChains, it is the fucking perfect solution that world needs. If I compare Neyma to Sergey, they are almost the same, who built the perfect blockchain/token to maximize the usability and scalability of blockchain. Also, Neyma the CEO of $FUND has connections to GOOGLE and RIPPLE.
Imagine, private companies, enterprises and Governments will start using WrkChains. As time passess by, $FUND will eventually grow higher and higher and higher.
They already have a working WrkChain named as "FinChains", it is a decentralized price oracle developed by Yellow, it is estimated to consume more than 500k to 1million $FUND a year.
Imagine, when the adoption phase begin, there are a lot of $FUNDS will be used in utility. I don't care what you say, but for me this project is belong to top 50cmc, for short 100m mc, x37 from here. Worst case is top 100cmc at 50m mc, x18 from here.
Don't missed out on this one. I highly suggest it to add it on your portfolio. If you missed out on LINK, NEO, UBT ico days. Here's your chance.
Tokenomics;
Explorer: https://explorer.unification.io/
Circulating supply : 93,851,203
Total supply : 120,000,000
Staking: YES
There are 49 million tokens currently at perma stake by the company to secure the network at 51% attack. This will be locked forever for the security of the network. This is equivalent to 1/3 of total supply.
Also, 10m $FUND will be minted each year that will bring the total supply at maximum of 210 million by the year 2029. But it will be locked and will only be used to sell for enterprises for utility usage and to pay for network tax (block rewards) it means, the more WrkChains will be deployed, there will be "DEFLATION" because it will be used by enterprises etc. If those 10million minted $FUND each year is not sufficient for enterprises, they have to MARKET BUY the $FUND tokens.
Good tokenomics tho.
Main Goal:
To deploy 100 Wrkchains this 2020
Partners:
Travala.com
INLAGS (Latin American Institute of Health) https://www.inlags.com/
BidiPass (https://bidipass.org/)
Alpha Chain (https://alphachain.com/)
Yellow (https://www.yellow.com/)
Beach Head (https://www.beachhead.com/)
Binance Info (https://info.binance.com/)
Deployment Partners:
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Exchanges:
Probit (suggested exchange, NO KYC)
BitForex (suggested exchange, but low liquidity)
Binance Dex (Not a mainnet, needed to swap)
Digifinex
Bidesk (Not a mainnet, needed to swap)
Useful links:
1st enterprise to adopt WrkChains https://explorer.unification.io/transactions/8F0B166542C8E95ABCFFE35D8587E665149F65457AF5A41742010CE18143DCA4
An enterprise purchase of $FUND yesterday worth $21,000 for utility usage.
https://explorer.unification.io/transactions/F7A79321387AF875570E6F97BC7E909D092C9870B19E94AFCBD84ED5D7EDC268
Big Boss Capital as a Unification Validator https://endofthechain.com/big-boss-capital-is-live/amp/?__twitter_impression=true
Generation Crypto AMA Recap http://gcrypto.media/unification-ama-recap/
WrkChains detailed explanation https://www.youtube.com/watch?v=4hJmV5vdG2o&feature=emb_title
The Gem Hunters rated $FUND as Emerald Grade 3 https://www.thegemhunters.net/reviews
A superb review of $FUND by Blockfyre, Rated $FUND a score of B7. https://blockfyre.com/unification-fund/
tehMoonwalkeR added $FUND to his list. https://twitter.com/tehMoonwalkestatus/1265281813603250179?s=19
An interesting thread by other user https://www.reddit.com/CryptoMoonShots/comments/gn0j9v/the_birth_of_fund_moonshots_part_2/?utm_medium=android_app&utm_source=share
Telegram https://t.me/unificationfoundation
Telegram Ann: https://t.me/UnificationOfficial
Medium: https://medium.com/unificationfoundation
Twitter https://twitter.com/UnificationUND?s=09
Coingecko https://www.coingecko.com/en/coins/unification
Conclusion:
You can apply the law of supply and demand in this token. Wherein scarcity will happen and will boost the token's price a lot and also consider the 49m permanent stake which is 1/3 of the total supply. Which means only 71 million are in the circulation. If this will be listed to another 5 more exchanges, the demand will increase which will give a massive boost to the price. Plus, add those incoming WrkChains deployment which will use about an estimation of 500k to 1million $FUND per year for utility usage. Their main goal this 2020 is to deploy 100 WrkChains. Imagine the scarcity. It will be above the rest. They worked hard 2 years for this perfect solution. Silently working and here they are, going to make a name in the industry.
Try looking out for the flaws of this project. If you have any, kindly comment it here.
Post Scriptum:
Enjoy bagging this GEM as early as you can before it explode in corporations, enterprises and Governments and exchanges. This is my Ace card in whole crypto.
FUD and bash is accepted. If you're saying 4m mcap is too high. No it's not. It's still in it's infancy phase. Also screencap this, next year it will be a happy memory that you read this post and you will thank me in the future.
submitted by MasteRalph to CryptoMoonShots [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Copy trading with eToro: impressions, doubts and (ignored) lessons

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to InvestmentClub [link] [comments]

Noob Safe Haven Thread | Oct 21-27 2019

Post any options questions you wanted to ask, but were afraid to ask. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge and experiences (YOU are invited to respond to questions posted here.)
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade, disclose position details, so that responders can assist. Vague inquires receive vague responses. Tell us: TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, for mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Exercise & Assignment - A Guide (ScottishTrader) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Thoughts after trading for 7 Years (invcht2) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes) • There's a bull market somewhere (Jason Leavitt) (3 minutes)
Trade planning, risk reduction and trade size, etc. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • Trade Checklists and Guides (Option Alpha) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart) • Open Interest by ticker (optinistics)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Option Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Option Greeks (Chris Butler - Project Option) • A selected list of option chain & option data websites • See also the wiki FAQ
Selected Trade Positions & Management • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Rolling Short (Credit) Spreads (Redtexture) • Long Call vs. Call Spread Options Strategy Comparison (Chris Butler - Project Option) (30 Minutes) • Take the loss (here's why) (Clay Trader) (15 minutes) • The diagonal calendar spread and "poor man's covered call" (Redtexture) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • See also the wiki FAQ
Implied Volatility, IV Rank, and IV Percentile (of days) • See the wiki FAQ
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, Contract Specifications, TDA Margin Handbook, EU Regulations on US ETFs, US Taxes and Options • See the wiki FAQ for most of this material • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture)
Following week's Noob thread: Oct 21-27 2019
Previous weeks' Noob threads:
Oct 14-20 2019 Oct 7-13 2019 Sept 30 - Oct 6 2019
Sept 23-29 2019 Sept 16-22 2019 Sept 09-15 2019 Sept 02-09 2019 Aug 26 - Sept 02 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Forex video review Форекс видеообзор 21 12 Forex Review 21 04 2016 EUR/JPY EUR/USD trade Best Forex Trading System 21 DEC 2018 Review -forex trading systems that work Weekly Forex Forecast 21st - 25th October 2019 USD/CHF trade Best Forex Trading System 21 OCT Review -Best indicators for scalping DAILY FOREX REVIEW FOR 21/03/2019 #FOREX REVIEW AND PLAN FOR 21/10/2019

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