Forex mini accounts comparison and reviews

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]

Psychology, money and risk management.

Hello guys, I basically learned technical analysis about 4 years ago and been off and on with trading, I spent that time practicing paper trading the e-mini s&p 500, but I'm more interested in forex.
Does anyone recommend any books on psychology, money and risk management?
I want to practice with forex before touching the live account.
Also any good videos that explains the concept of leverage? I want to review it over and over until it has been written on my brain.
Thanks in advance
submitted by IzzyD86 to Forex [link] [comments]

Some news you may have missed out on part 79.

-Pakistan to host ‘AdAsia – Asian Advertising Congress’ this year
In a logo unveiling ceremony held at Faletti’s Hotel Lahore, on Sunday, it was revealed that AdAsia 2019 —Asian Advertising Congress is going to be held in Pakistan this year. AdAsia is the largest and most prestigious advertising congress in Asia, organized bi-annually by the Asian Federation of Advertising Associations (AFAA). The AdAsia 2019 Congress will be held in Lahore at the Lahore International Expo Centre from December 3 to 5. The theme for the Congress is ‘Celebrasian: Celebration of Advertising and Creativity in Asia’.
-IDB to lend Pakistan oil worth $4.5 bn
The spokesperson for the Ministry of Finance on Saturday claimed that the Saudi-backed Islamic Development Bank (IsDB) will lend Pakistan oil worth $4.5 billion. “The IsDB will lend Pakistan oil worth $4.5 billion over three years. The oil will be lent in three installments of $1.5 billion each every year,” the spokesperson added. The Ministry of Finance spokesperson further said that in the first phase they have received oil worth $100 million and oil worth $270 million will be lent in the second phase. “We are also in talks with the IsDB regarding lending of liquefied natural gas (LNG),” the spokesperson added.
-Economic revival: PTI government relief package earns Rs 125 billion immediately
The federal government’s relief package for the stock market in the ‘Mini-budget’ on January 23 has brought positive impact. KSE-100 index settled at 40,254 points with a rise of 958 points within one week. The business-friendly concessions including abolition of the advance tax of 0.02pc on share trading under Presumptive Tax Regime and super tax in the mini-budget have been welcomed by the stockbrokers and industrialists altogether.
-69 women constables complete elite commando training in K-P
Over 7,000 personnel of the Khyber-Pakhtunkhwa (K-P) police, including 69 women constables, have successfully completed a grueling Elite Commando Training Course. As per a statement issued by K-P police’s public relations, the police personnel completed training in 15 basic courses conducted at different training centres. Most policemen, including the women constables, voluntarily opted for the tough four-month long course. The communique also said another batch of women commandos is currently being trained and shall soon be elevated to the rank of elite commandos.
-Karachi police chief makes surprise visits, suspends four police officials
In a surprise move, Additional Inspector General Police Dr Amir Shaikh on Saturday visited different areas of the city, disguising himself as a common citizen to witness the performance the police force. A police spokesperson said that the Karachi police chief suspended four police officials, including two ASIs over violation of duty rules and harassing public. He said that the police officials were found harassing people instead of controlling traffic at MT Khan Road in Sultanabad. The officials were from Jackson and Sultanabad police stations, said the spokesperson and added that the police chief had directed SP Traffic city and DSP to submit report over the issue. In-charges of Jackson and Sultanabad police stations along with record keepers were also summoned by the AIG Dr Amir Shaikh, said the spokesperson.
-In a historical move, Pakistan elected as Vice Chair of Asia Pacific Ministerial Forum
Pakistan was elected as the vice chair at the third UN Environment’s Forum of Ministers and Environment Authorities of Asia Pacific that was held in Singapore from January 23 till January 25. The newswas revealed in a tweet by Adviser to Prime Minister on Climate Change Malik Amin Aslam. He said Pakistan got elected to the position owing to the country’s ‘sincere and dedicated’ environment preservation endeavours.
-Pakistan Army achieves historic milestone on Pakistan Afghanistan border fencing
Director General of Inter-Services Public Relations (ISPR) Major General Asif Ghafoor Sunday said work on about 900 kilometer fence along the Pakistan-Afghanistan border had been completed. Briefing a team of journalists and anchor-persons at Ghulam Khan, a bordering village in North Waziristan Agency,he said the work on erection of about 1200 km chunk, the most sensitive portion out of the total 2600 km long border with the neighbouring country, had commenced last year. Zero Point is the entry and exit point of Pakistan from Afghanistan where a formal border post was constructed last year Major Gen Asif Ghafoor said the project would cost about Rs 70 billion, which also included the cost of gadgets and surveillance equipment to keep strict vigil on the illicit movement from across the border. He said the fence had amply helped check the movement of terrorists from across the border and it would further assist after completion of the project which was expected to culminate next year. The visit of media-persons was conducted for the first time in the country's history as no such activity could have happened as all the area had been “no go area” for the civilians or even by the security forces themselves.
-Foreign Media representatives visit North Waziristan, stunned with Pakistan Army successes against terrorism
Local and foreign media representatives on Sunday visited Peshawar, Miranshah, and Ghulam Khan Border terminals along with Director General ISPR Major General Asif Ghafoor for the first time after military operations. It was the first direct interaction of the media with local people, who while standing in Miranshah Bazar, talked to reporters about improved peace situation and administrative issues in the area. They lauded Pakistan Army for its efforts in restoring peace and development.
-Pakistan Cement Exports register significant rise in first half of FY 2018 - 19
The export of cement from the country witnessed increase of 32.4 percent during first half of current fiscal year as compared to same period of last year. The export of the commodity increased to $157 million in July-December (2018-19) against the export worth of $118.586 million in sameperiod of last year, a latest data released by Pakistan Bureau of Statistics (PBS) said. In term of quantity, the cement export recorded 55.52 percent increase to 3.671 million Metric Ton (MT) during the period under review as compared to export of 2.36 million MT cement during same period of previous year. On year-on-year basis, the cement export jumped by 78.02 percent to $25.89 million in December 2018 from $14.54 million of cement export during December 2017, the data revealed. The overall export of goods during first half of current fiscal year recorded an increase of 2.19 percent to $11.216 billion against the exports of $10.976 billion recorded during same period of last year.
-KP Tourism. Potential stuns audience at International Tourism Fair in Europe
A large number of visitors, tourists and investors thronged the stall of Tourism Corporation Khyber Pakhtunkhwa (TCKP) at the tourism trade fair at Feria de Madrid, Spain, and showed keen interest in the KP’s tourism potential. The TCKP team highlighted salient features of the cultural and tourist resorts through video documentaries, pictures, brochures and posters. The visitors were informed that 70 percent of tourist resorts were located in KP and the foreign tourists can now visit any place without any restriction and obtaining Non-Objection Certificate. The KP participation in fair encouraged the international tour operators to bring cultural and mountaineering expeditions to the province, which will highlight Pakistan as one of the best tourist destinations for international tourists.
-Foundation stone laid for $200 million knowledge city in Pakistan, first ever in County's history
Prime Minister Imran Khan Sunday inaugurated the first academic block of the NAMAL Knowledge City. The vision behind Namal Knowledge City is to create a hub of knowledge exchange and research in Mianwali. The Knowledge City will include academic blocks, a knowledge center, a sports complex, sports grounds, a hospital, technology parks, business centers, shopping malls, a dairy farm, a resort, software houses, hotels, a primary school, and a housing colony for the faculty. A total of US$ 200 million will be spent on the construction of the Knowledge City which will be built on the concept of a zero carbon foot print and completed by the year 2027. It will have a population of 11,000 with construction spread over 4 million square feet. It will accommodate 7,000 students with 600 faculty members.
-E Rozgar Programme launched, Click for Registration
The Punjab IT Board and Ministry of Youth Affairs has jointly launched a three-month free E-Rozgar Training Programe for the youth, aimed at imparting vocational training to the jobless, enabling them to earn their livelihood honourably. In this regard, the admission has started for enrollment in these technical courses and the last date for the on-line registration is the 9th of the next month. The requisites of getting admission include that the applicant should have an NCIC, his minimum age 16, maximum age 35 and should be jobless.
-Pakistan China ink deal worth billions of dollars today: Report
A Chinese company will invest billion of dollars in mineral exploration and processing projects in Khyber Pakhtunkhwa. A Memorandum of Understanding in this regard has been signed in China today. According to Khyber Pakhtunkhwa Minister for Mineral Development Dr. Amjad Ali, the Chinese company will setup mineral industrial park in Rashakai Special Economic Zone.
-Pakistan's NESPAK completes 3,900 mega projects in Pakistan and across 37 countries of World worth Rs 19,000 billions
National Engineering Services Pakistan (NESPAK) has successfully completed 3,900 development projects within Pakistan and 37 in other countries with an accumulative cost of Rs 19,000 billion since its establishment, 45 years ago. NESPAK Managing Director Dr. Tahir Masood told media here Saturday that foreign countries where NESPAK has extended engineering consultancy services were mostly located in the Middle East, Far East, Central Asia and Africa. In this way, he added, NESPAK had placed the country on the export map of the world and was committed to provide multi-disciplinary engineering consultancy services with the highest level of professionalism and dedication.
-Government launches Dominted Bank bond
PTI government is launching yet another economic initiative for overseas Pakistanis to attract billions of dollars for balance of payment and enhancing reserves. PTI government is launching dollar-denominated diaspora bond named Pakistan Banao Certificate (PBC) on January 31st. The diaspora bond is being launched to take advantage of international savings of overseas Pakistani’s and bolstering its foreign exchange reserves. According to details shared by the Finance Minister Asad Umar , the certificates would be of two types, one of three years offering 6.25% return and the other with five-year maturity offering 6.75% return. Mr Umar said four banks had been selected to complete the transactions.
-Rupee hits seven-week high at 138.78
Pakistani currency has recovered to a seven-week high at Rs138.78 against the US dollar in inter-bank market on Friday, according to the State Bank of Pakistan, after the country successfully mitigated the risk of default following receipt of $2 billion from friendly countries. Simultaneously, the rupee revived to a four-week high at retail market to 139 against the greenback on Saturday, according to a forex website. “The $2 billion inflows from the UAE and Saudi Arabia (on Thursday and Friday) has partially eased the panic at currency markets,” said a banker on condition of anonymity.
-PM Imran discusses major proposals to revive PIA
As Pakistan International Airlines (PIA) struggles to rein in mounting losses, Prime Minister Imran Khan discussed major proposals presented at a high-level meeting to turn around the financially troubled national flag carrier. The prime minister chaired the meeting at the PM Office earlier this month, which was attended by top cabinet members, civil bureaucracy and military officers. The premier directed the authorities to arrange additional guarantees of Rs15 billion as interim relief for PIA. A proposal was endorsed to freeze PIA’s outstanding dues, amounting to over Rs80 billion, which were payable to the Civil Aviation Authority (CAA) along with late payment surcharge, according to minutes of the meeting available with The Express Tribune.
-World Bank releases $58m for house financing
The World Bank has disbursed $58 million for house financing in Pakistan and the federal cabinet has approved the transfer of the fund to Pakistan Mortgage Refinance Company (PMRC). “It ($58 million – Rs7.8 billion) is a World Bank credit line for PMRC,” PMRC Managing Director and Chief Executive Officer Mudassir Hussain Khan told The Express Tribune. “The cabinet has approved the transfer of the fund. It will take around a week to 10 days before the money reaches PMRC account.”
-Talks between Pakistan, China for FTA to begin next month
Federal Secretary for Trade, Younus Dagha has said that the talks between Pakistan and China for a Free Trade Agreement (FTA) will commence next month. Talking to a delegation of the Trade Development Authority’s officials in Lahore, he expressed optimism that the new trade agreement with China will help thrive national economy and would be in the best interests of both the friendly countries.
“The trade deficit of Pakistan has decreased by five per cent during the incumbent government and our exports are increasing day by day.” He said the expansion of the trade volume with India depends on the decisions of the governments of both the countries. He informed that trade with Afghanistan is also improving.
-Amended finance bill to reduce cost of doing business: PEW
The Pakistan Economy Watch (PEW) on Sunday said the recently amended finance bill will reduce the cost of doing business which in turn, will reduce the prices of many items. The move will support businesses and help exporters regain ground in the international market as the government has reduced and abolished several taxes to lift economic activities, it said.
The government will lose almost seven billion rupees in revenue but it will gain more in the shape of foreign exchange, said PEW President Dr. Murtaza Mughal. He said the recommendations will be applicable from the next fiscal term but it has already elevated business sentiments as many leading business groups are planning to boost investments.
-Economic reforms help PSX gain 958 points in week
The benchmark KSE-100 index accelerated by 958 points in the outgoing week and settled at 40,265 points, providing a weekly return of 2.44pc, owing to improved sentiment on account of the economic reforms package announced by the government.
The Finance Supplementary (Second Amendment) Bill, 2019 was broadly focused on improving ease of doing business, incentivizing export-oriented/industrial sectors and elimination of domestic growth hampering impediments. A key demand from the stock market to abolish the advance tax of 0.02pc was accepted, while the government also allowed capital losses to be carried forward for three years, thereby impacting the investor sentiment positively.
-Govt to announce medium-term economic framework in coming week: Hammad Azhar
The Minister of State for Revenue Hammad Azhar on Friday said the government will announce a medium-term economic framework in the coming week. The forthcoming medium-term economic framework will bring measures that will enhance exports and investments, said Azhar while speaking at a seminar on “Economic Reforms: Way forward”, organised by the Sustainable Development Policy Institute (SDPI), reports an English daily.
He shared the government is moving towards execution a direct taxation regime whilst gradually restricting indirect taxes. Mr Azhar underlined that the supplementary budget which was announced on Wednesday didn’t target fiscal and monetary measures but was an economic reforms package to resuscitate and enhance growth and investment.
-Economic reforms package to help boost exports, trade and investment
State Minister for Revenue Hamad Azhar on Friday said that economic reforms package announced by the PTI government will help in boosting exports, trade and investment.
Talking to a private news channel, he said the economic reforms package will prove to be helpful in overcoming the trade and fiscal deficit. Mr Azhar said due to effective economic policies of the Pakistan Tehreek-e-Insaf (PTI) government, the international investors are desirous of investment in Pakistan. The government is taking many steps for the revival and betterment of the economy, he added.
-Tale as old as time: Labyrinth of tunnels discovered under Lahore Fort
A labyrinth of underground tunnels, as well as hidden basements, has been discovered under Lahore Fort. Immortalised in short stories, these passages have always been hidden from the naked eye. However, during excavation, the Walled City of Lahore Authority (WCLA) has discovered two underground tunnels and an arsenal which are currently under restoration.
A symbol of the opulence of the Mughals, Lahore Fort has kept many a secret for hundreds of years; secrets which are now slowly being revealed.
During excavation and restoration work, WCLA recently discovered a passage of underground tunnels which run underneath the fortress. This has caused tourists, hungry for information on the underground tunnels, to throng to the citadel and present their own theories on how the passages were used.
-Indonesia, Pakistan ties poised for a quantum leap, says envoy
Counsellor and head of cultural section Embassy of Republic of Indonesia Deny Tri Basuki has said Indonesia and Pakistan share strong socio-cultural and religious bond rooted in history. Pakistan and Indonesia stand proudly together as two of the largest Muslim populated countries and emerging economies of creative and talented people. He expressed these views on the occasion of a business gathering organised by tourism ministry of Indonesia in collaboration with the Indonesian embassy. A large number of stakeholders hailing from the travel and aviation industry of Pakistan attended the event.
-Japanese aircraft take part in pre Aman-19 exercise
The Pakistan Navy is hosting the 6th series of AMAN-19 – a Multinational Maritime Exercise – in February 2019 in Karachi, and two Japanese Naval P3C aircrafts of Deployed Maritime Force for Anti-Piracy Enforcement (DAPE) visited the PNS Mehran in Karachi for the pre-AMAN-19 exercise.
According to a press statement issued by the navy’s Director General Public Relations (DGPR) on Saturday, the Japanese aircrew participated in various events including search and rescue (SAR) and counter piracy (CP) exercises along with the navy aircrew. The Japanese contingent also visited maritime and Pakistan Air Force (PAF) museums to learn about the historic achievements of the two forces.
-‘Chinese, Russian firms keen to invest in PSM’
Adviser to Prime Minister on Commerce Abdul Razak Dawood revealed that three Chinese and three Russian firms have shown interest in investing in Pakistan Steel Mills (PSM).
Addressing a ceremony held for the inauguration of International Steels Limited’s new plant, he said that the committee tasked with revival of PSM has drafted its recommendations and the Economic Coordination Committee (ECC) will make a decision by March.
-China has given Pakistan additional access to its market: Dawood
Prime Minister’s Adviser for Trade and Industry Abdul Razzak Dawood on Saturday said the government is working to hammer out national industrial and tariff policies, ARY News reported. Dawood while talking to industrialists in Karachi, said that China has granted Pakistan an additional access to its market. “We are working to slash unnecessary imports and increase exports”.
He said unnecessary items will be removed from shelves of super markets and precious foreign exchange will not be spent on such imports. The adviser said the government has taken effective steps to facilitate business in mini budget, which will be approved in next seven day.
-Pakistani Teacher Shortlisted for Cambridge’s Most Dedicated Teacher Award
Cambridge University Press has shortlisted a Pakistani teacher, Ahmed Saya, for the ‘Most Dedicated Teacher’ award. Ahmed Saya, an A-level teacher from Karachi, is one of the six brilliant minds around the world to be shortlisted for the prize. The competition included entries of 3500+ teachers from over 140 countries for the prestigious award. Cambridge’s official Twitter handle said it was a tough call, but they shortlisted six teachers for this year’s Dedicated Teacher Awards.
-Swiss Investor to Open A Chain of Luxury Hotels in Pakistan
Swiss International Hotels & Resorts is mulling to open a chain of its luxury hotels in different cities of Khyber Pakhtunkhwa (KP). The President and CEO of Swiss International Hotels & Resorts, Henri (Hans) WR Kennedie informed this to Chief Minister KP Mahmood Khan during a meeting on Friday. During the meeting, Henri told CM Khan that they were already working on a plan to establish luxury hospitalities in various parts of the province.
submitted by FashBasher1 to pakistan [link] [comments]

I have a laundry list of questions and thoughts. I'm just going to brain dump here. Feel free to engage!

I've been interested in markets for what feels like forever now but never had the capital or time to properly invest in training, studying and practicing.
That window might be coming and I want to get a better understanding of some things.
For starters, I would be trading part time-ish. What I mean by that is I will have access to my charts and account via web based platforms from the office all day - but the degree of which I'm tuned into it will vary through the day. (How to make a boring job less boring.)
With that said, the requirements of what type of market trading I get involved with will depend on the flexibility of it's platform offerings. (as in a quality web platform as well as mobile).
Some questions:
I'm interested in Forex (or micro forex futures given my small bankroll), commodities (gold, silver, oil, etc) or trading S&P 500 e-mini futures (as I've read too much material now about how fantastic they are as a first trading vehicle to newbies). Of the two, which generally have brokers that have better mobile and web based trading applications? I won't be able to set up a space ship of a desk space with Metatrader and 50 graphs of stuff and a face tanning wall of monitors. I'll be browser based with dual-display monitors and on iOS. (Hell, if I could trade all day reliably from an iPad I would 100% do that instead)
My initial capital I plan to start with would be roughly $2,000 CAD. Nothing wild. I'd be calling it "tuition" while I learned. (after I come off paper trading of course) My goal at that point would be a) learning b) practicing and executing a trading strategy and c) growing my bankroll
I'm a huge advocate for depth over breadth so if I went the forex route, I would very likely only commit to one currency pair and become intimately familiar with it. I don't think I have the dna to be a multi-chart multi-pair type of person. The only for sure things I know is it would either be the big pair EUUSD or the more familiar USD/CAD as I'm in Canada, on a border city and am knee deep in news on both fronts.
I really don't know which of the three paths I should really go into. Part of my decision making process will be what kind of training and education material is available for them.
Here's all I really know about that so far:
So if we were friends, and we were having a beer somewhere and I was spitballing all of these thoughts, what would you reply with?
What market should I consider the most? Where's the best place to learn about it? Where can I find, learn, or study a strategy that's reliable but not too high risk? What brokers of that market take canadian accounts and have robust browser based platforms and equally good iOS apps? Can someone actually trade successfully, reliably and comfortably from an iPad if they were so inclined?
Thanks so much.
submitted by gulsadei to Daytrading [link] [comments]

Autolinking New TLDs Test

example.AAA
example.AARP
example.ABARTH
example.ABB
example.ABBOTT
example.ABBVIE
example.ABC
example.ABLE
example.ABOGADO
example.ABUDHABI
example.AC
example.ACADEMY
example.ACCENTURE
example.ACCOUNTANT
example.ACCOUNTANTS
example.ACO
example.ACTIVE
example.ACTOR
example.AD
example.ADAC
example.ADS
example.ADULT
example.AE
example.AEG
example.AERO
example.AETNA
example.AF
example.AFAMILYCOMPANY
example.AFL
example.AG
example.AGAKHAN
example.AGENCY
example.AI
example.AIG
example.AIGO
example.AIRBUS
example.AIRFORCE
example.AIRTEL
example.AKDN
example.AL
example.ALFAROMEO
example.ALIBABA
example.ALIPAY
example.ALLFINANZ
example.ALLSTATE
example.ALLY
example.ALSACE
example.ALSTOM
example.AM
example.AMERICANEXPRESS
example.AMERICANFAMILY
example.AMEX
example.AMFAM
example.AMICA
example.AMSTERDAM
example.ANALYTICS
example.ANDROID
example.ANQUAN
example.ANZ
example.AO
example.APARTMENTS
example.APP
example.APPLE
example.AQ
example.AQUARELLE
example.AR
example.ARAMCO
example.ARCHI
example.ARMY
example.ARPA
example.ART
example.ARTE
example.AS
example.ASDA
example.ASIA
example.ASSOCIATES
example.AT
example.ATHLETA
example.ATTORNEY
example.AU
example.AUCTION
example.AUDI
example.AUDIBLE
example.AUDIO
example.AUSPOST
example.AUTHOR
example.AUTO
example.AUTOS
example.AVIANCA
example.AW
example.AWS
example.AX
example.AXA
example.AZ
example.AZURE
example.BA
example.BABY
example.BAIDU
example.BANAMEX
example.BANANAREPUBLIC
example.BAND
example.BANK
example.BAR
example.BARCELONA
example.BARCLAYCARD
example.BARCLAYS
example.BAREFOOT
example.BARGAINS
example.BAUHAUS
example.BAYERN
example.BB
example.BBC
example.BBT
example.BBVA
example.BCG
example.BCN
example.BD
example.BE
example.BEATS
example.BEAUTY
example.BEER
example.BENTLEY
example.BERLIN
example.BEST
example.BESTBUY
example.BET
example.BF
example.BG
example.BH
example.BHARTI
example.BI
example.BIBLE
example.BID
example.BIKE
example.BING
example.BINGO
example.BIO
example.BIZ
example.BJ
example.BLACK
example.BLACKFRIDAY
example.BLANCO
example.BLOCKBUSTER
example.BLOG
example.BLOOMBERG
example.BLUE
example.BM
example.BMS
example.BMW
example.BN
example.BNL
example.BNPPARIBAS
example.BO
example.BOATS
example.BOEHRINGER
example.BOFA
example.BOM
example.BOND
example.BOO
example.BOOK
example.BOOKING
example.BOOTS
example.BOSCH
example.BOSTIK
example.BOT
example.BOUTIQUE
example.BR
example.BRADESCO
example.BRIDGESTONE
example.BROADWAY
example.BROKER
example.BROTHER
example.BRUSSELS
example.BS
example.BT
example.BUDAPEST
example.BUGATTI
example.BUILD
example.BUILDERS
example.BUSINESS
example.BUY
example.BUZZ
example.BV
example.BW
example.BY
example.BZ
example.BZH
example.CA
example.CAB
example.CAFE
example.CAL
example.CALL
example.CALVINKLEIN
example.CAM
example.CAMERA
example.CAMP
example.CANCERRESEARCH
example.CANON
example.CAPETOWN
example.CAPITAL
example.CAPITALONE
example.CAR
example.CARAVAN
example.CARDS
example.CARE
example.CAREER
example.CAREERS
example.CARS
example.CARTIER
example.CASA
example.CASH
example.CASINO
example.CAT
example.CATERING
example.CBA
example.CBN
example.CBRE
example.CBS
example.CC
example.CD
example.CEB
example.CENTER
example.CEO
example.CERN
example.CF
example.CFA
example.CFD
example.CG
example.CH
example.CHANEL
example.CHANNEL
example.CHASE
example.CHAT
example.CHEAP
example.CHINTAI
example.CHLOE
example.CHRISTMAS
example.CHROME
example.CHRYSLER
example.CHURCH
example.CI
example.CIPRIANI
example.CIRCLE
example.CISCO
example.CITADEL
example.CITI
example.CITIC
example.CITY
example.CITYEATS
example.CK
example.CL
example.CLAIMS
example.CLEANING
example.CLICK
example.CLINIC
example.CLINIQUE
example.CLOTHING
example.CLOUD
example.CLUB
example.CLUBMED
example.CM
example.CN
example.CO
example.COACH
example.CODES
example.COFFEE
example.COLLEGE
example.COLOGNE
example.COM
example.COMCAST
example.COMMBANK
example.COMMUNITY
example.COMPANY
example.COMPARE
example.COMPUTER
example.COMSEC
example.CONDOS
example.CONSTRUCTION
example.CONSULTING
example.CONTACT
example.CONTRACTORS
example.COOKING
example.COOKINGCHANNEL
example.COOL
example.COOP
example.CORSICA
example.COUNTRY
example.COUPON
example.COUPONS
example.COURSES
example.CR
example.CREDIT
example.CREDITCARD
example.CREDITUNION
example.CRICKET
example.CROWN
example.CRS
example.CRUISES
example.CSC
example.CU
example.CUISINELLA
example.CV
example.CW
example.CX
example.CY
example.CYMRU
example.CYOU
example.CZ
example.DABUR
example.DAD
example.DANCE
example.DATE
example.DATING
example.DATSUN
example.DAY
example.DCLK
example.DDS
example.DE
example.DEAL
example.DEALER
example.DEALS
example.DEGREE
example.DELIVERY
example.DELL
example.DELOITTE
example.DELTA
example.DEMOCRAT
example.DENTAL
example.DENTIST
example.DESI
example.DESIGN
example.DEV
example.DHL
example.DIAMONDS
example.DIET
example.DIGITAL
example.DIRECT
example.DIRECTORY
example.DISCOUNT
example.DISCOVER
example.DISH
example.DIY
example.DJ
example.DK
example.DM
example.DNP
example.DO
example.DOCS
example.DOCTOR
example.DODGE
example.DOG
example.DOHA
example.DOMAINS
example.DOT
example.DOWNLOAD
example.DRIVE
example.DTV
example.DUBAI
example.DUCK
example.DUNLOP
example.DUNS
example.DUPONT
example.DURBAN
example.DVAG
example.DZ
example.EARTH
example.EAT
example.EC
example.ECO
example.EDEKA
example.EDU
example.EDUCATION
example.EE
example.EG
example.EMAIL
example.EMERCK
example.ENERGY
example.ENGINEER
example.ENGINEERING
example.ENTERPRISES
example.EPOST
example.EPSON
example.EQUIPMENT
example.ER
example.ERICSSON
example.ERNI
example.ES
example.ESQ
example.ESTATE
example.ESURANCE
example.ET
example.EU
example.EUROVISION
example.EUS
example.EVENTS
example.EVERBANK
example.EXCHANGE
example.EXPERT
example.EXPOSED
example.EXPRESS
example.EXTRASPACE
example.FAGE
example.FAIL
example.FAIRWINDS
example.FAITH
example.FAMILY
example.FAN
example.FANS
example.FARM
example.FARMERS
example.FASHION
example.FAST
example.FEDEX
example.FEEDBACK
example.FERRARI
example.FERRERO
example.FI
example.FIAT
example.FIDELITY
example.FIDO
example.FILM
example.FINAL
example.FINANCE
example.FINANCIAL
example.FIRE
example.FIRESTONE
example.FIRMDALE
example.FISH
example.FISHING
example.FIT
example.FITNESS
example.FJ
example.FK
example.FLICKR
example.FLIGHTS
example.FLIR
example.FLORIST
example.FLOWERS
example.FLY
example.FM
example.FO
example.FOO
example.FOODNETWORK
example.FOOTBALL
example.FORD
example.FOREX
example.FORSALE
example.FORUM
example.FOUNDATION
example.FOX
example.FR
example.FRESENIUS
example.FRL
example.FROGANS
example.FRONTDOOR
example.FRONTIER
example.FTR
example.FUJITSU
example.FUJIXEROX
example.FUND
example.FURNITURE
example.FUTBOL
example.FYI
example.GA
example.GAL
example.GALLERY
example.GALLO
example.GALLUP
example.GAME
example.GAMES
example.GAP
example.GARDEN
example.GB
example.GBIZ
example.GD
example.GDN
example.GE
example.GEA
example.GENT
example.GENTING
example.GEORGE
example.GF
example.GG
example.GGEE
example.GH
example.GI
example.GIFT
example.GIFTS
example.GIVES
example.GIVING
example.GL
example.GLADE
example.GLASS
example.GLE
example.GLOBAL
example.GLOBO
example.GM
example.GMAIL
example.GMBH
example.GMO
example.GMX
example.GN
example.GODADDY
example.GOLD
example.GOLDPOINT
example.GOLF
example.GOO
example.GOODHANDS
example.GOODYEAR
example.GOOG
example.GOOGLE
example.GOP
example.GOT
example.GOV
example.GP
example.GQ
example.GR
example.GRAINGER
example.GRAPHICS
example.GRATIS
example.GREEN
example.GRIPE
example.GROUP
example.GS
example.GT
example.GU
example.GUARDIAN
example.GUCCI
example.GUGE
example.GUIDE
example.GUITARS
example.GURU
example.GW
example.GY
example.HAMBURG
example.HANGOUT
example.HAUS
example.HBO
example.HDFC
example.HDFCBANK
example.HEALTH
example.HEALTHCARE
example.HELP
example.HELSINKI
example.HERE
example.HERMES
example.HGTV
example.HIPHOP
example.HISAMITSU
example.HITACHI
example.HIV
example.HK
example.HKT
example.HM
example.HN
example.HOCKEY
example.HOLDINGS
example.HOLIDAY
example.HOMEDEPOT
example.HOMEGOODS
example.HOMES
example.HOMESENSE
example.HONDA
example.HONEYWELL
example.HORSE
example.HOST
example.HOSTING
example.HOT
example.HOTELES
example.HOTMAIL
example.HOUSE
example.HOW
example.HR
example.HSBC
example.HT
example.HTC
example.HU
example.HUGHES
example.HYATT
example.HYUNDAI
example.IBM
example.ICBC
example.ICE
example.ICU
example.ID
example.IE
example.IEEE
example.IFM
example.IINET
example.IKANO
example.IL
example.IM
example.IMAMAT
example.IMDB
example.IMMO
example.IMMOBILIEN
example.IN
example.INDUSTRIES
example.INFINITI
example.INFO
example.ING
example.INK
example.INSTITUTE
example.INSURANCE
example.INSURE
example.INT
example.INTEL
example.INTERNATIONAL
example.INTUIT
example.INVESTMENTS
example.IO
example.IPIRANGA
example.IQ
example.IR
example.IRISH
example.IS
example.ISELECT
example.ISMAILI
example.IST
example.ISTANBUL
example.IT
example.ITAU
example.ITV
example.IWC
example.JAGUAR
example.JAVA
example.JCB
example.JCP
example.JE
example.JEEP
example.JETZT
example.JEWELRY
example.JLC
example.JLL
example.JM
example.JMP
example.JNJ
example.JO
example.JOBS
example.JOBURG
example.JOT
example.JOY
example.JP
example.JPMORGAN
example.JPRS
example.JUEGOS
example.JUNIPER
example.KAUFEN
example.KDDI
example.KE
example.KERRYHOTELS
example.KERRYLOGISTICS
example.KERRYPROPERTIES
example.KFH
example.KG
example.KH
example.KI
example.KIA
example.KIM
example.KINDER
example.KINDLE
example.KITCHEN
example.KIWI
example.KM
example.KN
example.KOELN
example.KOMATSU
example.KOSHER
example.KP
example.KPMG
example.KPN
example.KR
example.KRD
example.KRED
example.KUOKGROUP
example.KW
example.KY
example.KYOTO
example.KZ
example.LA
example.LACAIXA
example.LADBROKES
example.LAMBORGHINI
example.LAMER
example.LANCASTER
example.LANCIA
example.LANCOME
example.LAND
example.LANDROVER
example.LANXESS
example.LASALLE
example.LAT
example.LATINO
example.LATROBE
example.LAW
example.LAWYER
example.LB
example.LC
example.LDS
example.LEASE
example.LECLERC
example.LEFRAK
example.LEGAL
example.LEGO
example.LEXUS
example.LGBT
example.LI
example.LIAISON
example.LIDL
example.LIFE
example.LIFEINSURANCE
example.LIFESTYLE
example.LIGHTING
example.LIKE
example.LILLY
example.LIMITED
example.LIMO
example.LINCOLN
example.LINDE
example.LINK
example.LIPSY
example.LIVE
example.LIVING
example.LIXIL
example.LK
example.LOAN
example.LOANS
example.LOCKER
example.LOCUS
example.LOFT
example.LOL
example.LONDON
example.LOTTE
example.LOTTO
example.LOVE
example.LPL
example.LPLFINANCIAL
example.LR
example.LS
example.LT
example.LTD
example.LTDA
example.LU
example.LUNDBECK
example.LUPIN
example.LUXE
example.LUXURY
example.LV
example.LY
example.MA
example.MACYS
example.MADRID
example.MAIF
example.MAISON
example.MAKEUP
example.MAN
example.MANAGEMENT
example.MANGO
example.MARKET
example.MARKETING
example.MARKETS
example.MARRIOTT
example.MARSHALLS
example.MASERATI
example.MATTEL
example.MBA
example.MC
example.MCD
example.MCDONALDS
example.MCKINSEY
example.MD
example.ME
example.MED
example.MEDIA
example.MEET
example.MELBOURNE
example.MEME
example.MEMORIAL
example.MEN
example.MENU
example.MEO
example.METLIFE
example.MG
example.MH
example.MIAMI
example.MICROSOFT
example.MIL
example.MINI
example.MINT
example.MIT
example.MITSUBISHI
example.MK
example.ML
example.MLB
example.MLS
example.MM
example.MMA
example.MN
example.MO
example.MOBI
example.MOBILY
example.MODA
example.MOE
example.MOI
example.MOM
example.MONASH
example.MONEY
example.MONSTER
example.MONTBLANC
example.MOPAR
example.MORMON
example.MORTGAGE
example.MOSCOW
example.MOTORCYCLES
example.MOV
example.MOVIE
example.MOVISTAR
example.MP
example.MQ
example.MR
example.MS
example.MSD
example.MT
example.MTN
example.MTPC
example.MTR
example.MU
example.MUSEUM
example.MUTUAL
example.MUTUELLE
example.MV
example.MW
example.MX
example.MY
example.MZ
example.NA
example.NAB
example.NADEX
example.NAGOYA
example.NAME
example.NATIONWIDE
example.NATURA
example.NAVY
example.NBA
example.NC
example.NE
example.NEC
example.NET
example.NETBANK
example.NETFLIX
example.NETWORK
example.NEUSTAR
example.NEW
example.NEWS
example.NEXT
example.NEXTDIRECT
example.NEXUS
example.NF
example.NFL
example.NG
example.NGO
example.NHK
example.NI
example.NICO
example.NIKE
example.NIKON
example.NINJA
example.NISSAN
example.NISSAY
example.NL
example.NO
example.NOKIA
example.NORTHWESTERNMUTUAL
example.NORTON
example.NOW
example.NOWRUZ
example.NOWTV
example.NP
example.NR
example.NRA
example.NRW
example.NTT
example.NU
example.NYC
example.NZ
example.OBI
example.OFF
example.OFFICE
example.OKINAWA
example.OLAYAN
example.OLAYANGROUP
example.OLDNAVY
example.OLLO
example.OM
example.OMEGA
example.ONE
example.ONG
example.ONL
example.ONLINE
example.ONYOURSIDE
example.OOO
example.OPEN
example.ORACLE
example.ORANGE
example.ORG
example.ORGANIC
example.ORIENTEXPRESS
example.ORIGINS
example.OSAKA
example.OTSUKA
example.OTT
example.OVH
example.PA
example.PAGE
example.PAMPEREDCHEF
example.PANASONIC
example.PANERAI
example.PARIS
example.PARS
example.PARTNERS
example.PARTS
example.PARTY
example.PASSAGENS
example.PAY
example.PCCW
example.PE
example.PET
example.PF
example.PFIZER
example.PG
example.PH
example.PHARMACY
example.PHILIPS
example.PHOTO
example.PHOTOGRAPHY
example.PHOTOS
example.PHYSIO
example.PIAGET
example.PICS
example.PICTET
example.PICTURES
example.PID
example.PIN
example.PING
example.PINK
example.PIONEER
example.PIZZA
example.PK
example.PL
example.PLACE
example.PLAY
example.PLAYSTATION
example.PLUMBING
example.PLUS
example.PM
example.PN
example.PNC
example.POHL
example.POKER
example.POLITIE
example.PORN
example.POST
example.PR
example.PRAMERICA
example.PRAXI
example.PRESS
example.PRIME
example.PRO
example.PROD
example.PRODUCTIONS
example.PROF
example.PROGRESSIVE
example.PROMO
example.PROPERTIES
example.PROPERTY
example.PROTECTION
example.PRU
example.PRUDENTIAL
example.PS
example.PT
example.PUB
example.PW
example.PWC
example.PY
example.QA
example.QPON
example.QUEBEC
example.QUEST
example.QVC
example.RACING
example.RAID
example.RE
example.READ
example.REALESTATE
example.REALTOR
example.REALTY
example.RECIPES
example.RED
example.REDSTONE
example.REDUMBRELLA
example.REHAB
example.REISE
example.REISEN
example.REIT
example.REN
example.RENT
example.RENTALS
example.REPAIR
example.REPORT
example.REPUBLICAN
example.REST
example.RESTAURANT
example.REVIEW
example.REVIEWS
example.REXROTH
example.RICH
example.RICHARDLI
example.RICOH
example.RIGHTATHOME
example.RIO
example.RIP
example.RO
example.ROCHER
example.ROCKS
example.RODEO
example.ROGERS
example.ROOM
example.RS
example.RSVP
example.RU
example.RUHR
example.RUN
example.RW
example.RWE
example.RYUKYU
example.SA
example.SAARLAND
example.SAFE
example.SAFETY
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EXPERT-ADVISOR AUTOMATED FOREX TRADING 2020 SETTINGS(cent ... Best Forex Broker For Americans - Top Recommendation - YouTube Forex Millennium Review – Don't Buy Karl Dittmann Forex Indicator Until You Watch This! The ONLY Forex Trading Video You Will EVER Need - YouTube Forex Trading 101 - Which Currency Pair to Start With? Live trading on micro account How to Grow A Small Trading Account in 2020  Forex ... Former City Trader Reveals His Day Routine! How I flipped my account from $350 to $26,000 in forex ... Micro vs Standard Account Type Forex Trading Philippines ...

Here you can find the Forex brokers that offer micro-lot accounts to their traders. One micro-lot is a hundredth of a standard lot, or 1,000 units of a currency. Despite its reputation, a micro-Forex account can be very useful even if you have enough trading capital for a standard account. Micro accounts are one of three types of forex trading accounts, the other two being the mini account and standard account. With a micro account, a trader can trade with a contract size of 1000 units of currency. This type of trading account is mostly utilised by beginner traders as it lets them trade the forex market without having to risk a substantial amount of trading capital. An experienced Forex trader might decide to open a Forex mini account to test out a new strategy or system. In order for that to work, he has to trade as if it's his regular Forex trading account. Otherwise the result of the test is going to be skewed and inaccurate. And if you're going to do that, you may as well go back to the kitchen table for that poker game. Mini accounts allow you to trade mini lots (10,000 units of the base currency). This may be preferable if you're looking to make trade online with smaller sums of money. In this up-to-date comparison, we've compared the top forex brokers that offer mini accounts as of 2020. A mini forex trading account involves using a trading lot that is one-tenth the size of the standard lot of 100,000 units. In a mini lot, one pip of a currency pair based in U.S. dollars is equal ... Mini forex account: 10,000 x .0075 = $75 gains; Standard forex account: 100,000 x .0085 = $750 gains; Next, let’s imagine the euro trades goes down to 1.1990, this illustrates a loss of 10 pips. Micro forex account 1,000 x .0010 = $1 loss; Mini forex account 10,000 x .0010 = $10 loss; Standard forex account 100,000 x .0010 = $100 loss Forex mini accounts. If you are new in the Forex business and don't want to investigate a lot of money into your first try then you probably need a so called Forex mini account. These accounts enable you to start trading on the Forex market with a small starting deposit like $100-$500. Besides this Forex mini accounts allows you to trade with a ... Home › Forex Account Types › Forex Brokers with Mini & Micro Accounts Forex Brokers with Mini & Micro Accounts Below is the largest list of Forex brokers who offer mini and micro accounts as low as $1 USD and under $1000 and mini lot size trading of 10 000 units or less. Forex Mini Account: A type of brokerage account that is used by beginner traders looking to enter the foreign exchange market. A forex mini account allows the investor to take a smaller position ... Within a micro account for forex trading, you can often trade in smaller lots than even the micro lot, a nano lot, or 0.001 of a standard lot is typically available on these accounts. This would lower your real money trading cost to $10 per nano lot using the same calculation as above. This low risk is only slightly more than you would experience with a forex demo account and is great for ...

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EXPERT-ADVISOR AUTOMATED FOREX TRADING 2020 SETTINGS(cent ...

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