The Best Times to Trade the Forex Markets

Despite having all my family and friends next to me, I feel so alone when trading forex?

I can talk about trading with my friends and family whenever I like and they listen to me and try to understand. But when I'm actually trading, I feel so alone even when my family are right next to me. I think it's because I am 100% responsible for my account. It's not like a regular 9-5 job where if you screw up, you don't take all the blame. And even if you do, the problem gets sorted by someone else while you get a little slap on the wrist. When you're trading, your problems are your own. You have to sort it out yourself, and that can feel a bit isolating at times. Does anyone else feel this? Not trying to be im14andthisisdeep, just saying how I feel. I made a £78 loss today. Maybe I'm just being too dramatic and letting my emotions get to me. Either way, I will be taking a break this week and resume trading next Monday.
submitted by RapidActionBattalion to Forex [link] [comments]

Day #2 of my Forex Journey

Real quick before I get into my next steps of my FX Journey, id like to say thank you to all the people who commented on my last post! All of the tips I got were really eye-opening and introduced me to different parts of FX trading that I didn't even know existed. So thank you so much, and I hope to get more interesting feedback from you guys in the future! Also Im going to probably change my writing frequency from daily to biweekly. I think writing about every little trade is not going to be as beneficial to me as writing about my overall progress at certain points throughout the week.
I started this trading day out by learning up on order flow. A whole bunch of you guys suggested really interesting youtubers to watch, and I started with Mr. pip's series on order flow. After I finished up watching a few of his videos, I started to tweak my trading plan so that I could get in some chart time. I changed currency pair from EUUSD to the AUD/USD, the time frame from the 4 hour to the 1 hour, and my indicators from RSI, Stochastic, 2 SMAs and ADX to ATR, RSI, and Ichimoku Kinko Hyo. I also added a little fundamental analysis in my trading plan because I think that I am being far too reliant on my indicators. I planned to check the economic calendar and determine the general trend of the currency pairs that are strongly correlated to the AUD/USD before I began my chart analysis. In addition to all of my analysis, I tried to practice using the techniques I learned in Mr. Pip's videos and analyze the order flow of the chart. Even if my analysis of order flow is wrong, as long as I am getting practice I am learning.
Eventhough I planned to use today to back-test indicators and find a solid new plan, I did not have enough time. I ended up getting on my demo account really late in the day, and started to force myself to enter a trade. Destructive habits like this could lead into some massive issues when I eventually get into live trading. To combat this harmful attitude specifically, I will restrict myself to trading on certain parts of the day (for example session overlaps, news releases, and earlier in the day). Despite this mistake I still continued with my trading strategy. I calculated all the currency correlations for AUS/USD using the past weeks economic data, and set my indicators in place. After checking the overall trend of the most strongly correlated pairs (Positive: EUUSD, GPB/USD, Negative: USD/CAD, USD/JPY) I started to analyze the order flow. All the correlated currencies, except for EUUSD, indicated that the AUD/USD would fall, while my order flow analysis indicated the opposite. Seeing as though I am extremely new to order flow, I dismissed this analysis, and ended up forcing a trade on the AUD/USD going short when my indicators seemed to line up correctly. I learned from last time that I should not alter or close my trade purely based on emotion, and to just wait till the market hits my stop loss or take profit. I included a trailing stop loss of 60 pips this time, but I have no evidence to base that number range on. The trade is currently open and I am down about 30 pips.
Although I am not labeling this trade as a loser yet, I can definitely see a lot of holes in my trading strategy. The most obvious mistake in my eyes right now is my use of indicators. Currently all my trades are purely based on what my indicators say, and since I do not have any back-tested data to support the credibility of my indicators, it feels a lot like strategic gambling. Another issue is that I feel far too reliant on indicators alone. I think that if I can find ways to include various types of analysis efficiently and evenly in my trading plan I will become a much more skillful and well-rounded trader. In order to combat these two issues I will begin forming various types of trading strategies this weekend and back-test them all extensively. I also plan on researching more on price action, order flow, and Naked Forex.
Once again any and all feedback is welcome. I am just beginning Forex, but it had been a huge passion of mine and I don't plan on stopping anytime soon.
submitted by Aman-1127 to Forex [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]

What’s the hours for forex market?

I’m in stocks a lot, but I see people saying “I can’t wait till Sunday for the market to open!!!” So I’m totally confused on the days and hours for forex market lol.
submitted by theredditrsofthereds to Forex [link] [comments]

A random guide for scalping - Part V - Understanding Intraday Liquidity

Hi there guys,
Welcome back to my weekly rants. Decided to add some info that should be pretty useful to your daily trading, thanks to the comments of u/Neokill1 and u/indridcold91.
If you have not read the rest of the series, I recommend you take your time and read those before continuing with this piece (check my user activity and scroll down...)
This rant is based on this little comment I posted on the last post:
Price moves because of the imbalance between buying and selling. This happens all the time. Price move where liquidity is, and that seeking of liquidity makes the price to go up and down.
Why price extends on a particular direction? Because longer term players decide it.
So the idea behind what I'm writing about is to follow that longer-term trend, taking advantage of a counter-trend wave that is looking for intra-day liquidity. If I'm bullish on the week, I want to pair my buying with intra-day selling. Because I expect longer-term traders to push price by buying massively. And instead of riding a big wave, I want to ride that push and get out before it retraces.
And also answers to this: why for example would it make sense to draw support/resistance lines on a EUUSD chart? Why would anyone "support" the price of a spread? What are you predicting to happen by drawing those lines, that someone will exchange their currency there simply because it's the same price they exchanged it for in the past and that number is special to them?
A good question that deserves an answer
That question is a pretty good one, and one any trader worth of that name should ask himself why. Why price reacts the way it does? Why price behaves in predetermined ways? Why if I draw a line or area on specific candle places, I expect the price to react?
And the answer is simple and at the same time kinda complicated and fascinating. Why price rallies and rallies andd rallies and then suddenly it stops at a point ,and reverses? . The answer is , because there are sellers at that point. There is liquidity there. There is people at that point that decided it was worth to sell enough to reverse that rally.
All the market does is to put together buyers and sellers. If you want to buy something at some price, someone must agree with you. If no ones agrees, then you will have to offer more. When buyers and sellers agree on similar terms, price is stable. Buying and selling happens on a tight range, because both consider that particular price range worth.
But then, perhaps, someone wants to buy big. And there are not enough sellers. This big boy will dry the available liquidity , and it is hungry for more. So price will move from a balanced state to an imbalanced state. This imbalance in volume between buyers and sellers will cause the price to move up, taking all available liquidity till the monster is satiated. Then the exhaustion of bids, or buying, will cause the price to reverse to a point where buying interest is back.
The same applies for selling activity. The main take away you should get from this is simply that the market keeps moving from balance to imbalance to balance to imbalance all the time. And the points where the big bois deploy this activity of buying , of selling, of protecting levels, of slowly entering the markets, are mostly predetermined. Surprised? Most of the institutional activity happens at : 00 ,20, 50 and 80 levels.
So why drawing a line makes sense? It makes sense because when price stalls at some point, is because sellers or buyers stepped in and stopped the movement. Its a level where something interesting is happening.
It's a level where liquidity was present, and the question is, what is going to happen the next time price touches the area? Is someone stepping in to buy or sell at this point? Or perharps the first touch dried the liquidity, and there is nothing preventing price from going up again??
Lets see a real example of a trade I took today on GBPUSD, where I analyze step by step the balance and imbalance of the market liquidity in real time at those levels. The only way to see this is usingfutures. Because forex is a decentralized market and blah blah blah, and futures are centralized so you can see the volume, the limit orders through the DOM and blah blah blah....
So first things first, read well this articule : https://optimusfutures.com/tradeblog/archives/order-flow-trading
Understand well what is said there. Take it easy. Take your time. And then come back to me.
If you have followed my work, you know how I like to ride the market. I want a retracement on the most liquid moment in the market - the NY-London Overlap, and I need a daily BIAS on the pair.
For today, I'm bullish on the GBPUSD.
So lets check the pics.
https://imgur.com/a/kgev9lT
The areas you see marked on the 30 min charts are based on the price relationships that happened last Friday. As you can see, those areas are always in a place where price stalled, retraced, pushed through,came back to the area and reacted in some way. Are those black magic? Why price reacts so smoothly today on them? Ah you Criptochihuahua, this is 20/20 insight, you are lying....
Those points are marked before today's open, simply because of the price relationship I described earlier. And if you remember the earlier rant, price stalls in there because sellers or buyers were present.
So I would expect that the levels are still interesting, and we should be watching carefully how price reacts in real time.
Now, today I got at 1.2680 and got out at 1.2725. Let's check the 2nd pic, keep following the narrative with your own charts.
What you are seeing is the first touch at the big figure with the total volume chart, and the bid/ask order flow chart. You can see how the price is pulled toward that level through the exhaustion of offers being filled. You can see how exactly they are depleted at 15:51. Why? Because at the next min, you can see how there are no offers being filled, compared to the bids.
Remember, when offers are getting filled , price pulls up. When the bids are predominantly being filled, price is pulled down.
And also take a look on the volume. This is key. If an imbalance is to happen, is because there should be a huge difference between bids and asks. Good volume on such a level, good sign. Price hugging the level without good volume, the level will most likely be broken.
Look at the next pic. See the price behavior in combination with the volume? Price is hugging the level on low volume. Great signal. That means the level is not that greatly defended, at this point.
What are we looking for? We are looking for the bids to be exhausted at our next level with a good volume reaction. Watch what happens.
Next pic is our retracement , and we are watching carefully. And look at that beauty. Do you see the volume? Do you see the bids exhaustion? Do you see how the market orders are getting absorbed by the limit orders at that point? Someone does not want the price to go down. Price jumps as a result. It does not huge the level. Do you see? I'm all in, I want to take part of this trade.
But wait, there is more.... look at the next pic, because you yet have another opportunity to get into this train.... at 17:23.. Even a bigger reaction, while on the other side.... we got more hugging...
No more pics for today. You see what happens next. The level gets broken and price rallies to take the previous day high. Trade was a success.
So I hope this added some value, and explained why drawing lines is useful, and how levels are indeed defended.
P.S - I lied: Extra Pic, you got a VWAP chart with Standard Deviations. You can see how the pullback nicely fits in our long framework as well and adds confluence to the trade. Research about this :)
submitted by Cryptochihuahua to Forex [link] [comments]

Digital Gold: Evolving the Gold Market

Digital Gold: Evolving the Gold Market

https://preview.redd.it/97irkcrbmja41.png?width=494&format=png&auto=webp&s=5f2643957a258f58e304fb8eee42f4029066b38e
Introduction
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What Is Capitalism?

Capitalism is an economic system in which private individuals or businesses own capital goods. The production of goods and services is based on supply and demand in the general market—known as a market economy—rather than through central planning—known as a planned economy or command economy.
The purest form of capitalism is free market or laissez-faire capitalism. Here, private individuals are unrestrained. They may determine where to invest, what to produce or sell, and at which prices to exchange goods and services. The laissez-faire marketplace operates without checks or controls.
Today, most countries practice a mixed capitalist system that includes some degree of government regulation of business and ownership of select industries.
Volume 75% 2:05

Capitalism

Understanding Capitalism

Functionally speaking, capitalism is one process by which the problems of economic production and resource distribution might be resolved. Instead of planning economic decisions through centralized political methods, as with socialism or feudalism, economic planning under capitalism occurs via decentralized and voluntary decisions.

KEY TAKEAWAYS

  • Capitalism is an economic system characterized by private ownership of the means of production, especially in the industrial sector.
  • Capitalism depends on the enforcement of private property rights, which provide incentives for investment in and productive use of productive capital.
  • Capitalism developed historically out of previous systems of feudalism and mercantilism in Europe, and dramatically expanded industrialization and the large-scale availability of mass-market consumer goods.
  • Pure capitalism can be contrasted with pure socialism (where all means of production are collective or state-owned) and mixed economies (which lie on a continuum between pure capitalism and pure socialism).
  • The real-world practice of capitalism typically involves some degree of so-called “crony capitalism” due to demands from business for favorable government intervention and governments’ incentive to intervene in the economy.

Capitalism and Private Property

Private property rights are fundamental to capitalism. Most modern concepts of private property stem from John Locke's theory of homesteading, in which human beings claim ownership through mixing their labor with unclaimed resources. Once owned, the only legitimate means of transferring property are through voluntary exchange, gifts, inheritance, or re-homesteading of abandoned property.
Private property promotes efficiency by giving the owner of resources an incentive to maximize the value of their property. So, the more valuable the resource is, the more trading power it provides the owner. In a capitalist system, the person who owns the property is entitled to any value associated with that property.
For individuals or businesses to deploy their capital goods confidently, a system must exist that protects their legal right to own or transfer private property. A capitalist society will rely on the use of contracts, fair dealing, and tort law to facilitate and enforce these private property rights.
When a property is not privately owned but shared by the public, a problem known as the tragedy of the commons can emerge. With a common pool resource, which all people can use, and none can limit access to, all individuals have an incentive to extract as much use value as they can and no incentive to conserve or reinvest in the resource. Privatizing the resource is one possible solution to this problem, along with various voluntary or involuntary collective action approaches.

Capitalism, Profits, and Losses

Profits are closely associated with the concept of private property. By definition, an individual only enters into a voluntary exchange of private property when they believe the exchange benefits them in some psychic or material way. In such trades, each party gains extra subjective value, or profit, from the transaction.
Voluntary trade is the mechanism that drives activity in a capitalist system. The owners of resources compete with one another over consumers, who in turn, compete with other consumers over goods and services. All of this activity is built into the price system, which balances supply and demand to coordinate the distribution of resources.
A capitalist earns the highest profit by using capital goods most efficiently while producing the highest-value good or service. In this system, information about what is highest-valued is transmitted through those prices at which another individual voluntarily purchases the capitalist's good or service. Profits are an indication that less valuable inputs have been transformed into more valuable outputs. By contrast, the capitalist suffers losses when capital resources are not used efficiently and instead create less valuable outputs.

Free Enterprise or Capitalism?

Capitalism and free enterprise are often seen as synonymous. In truth, they are closely related yet distinct terms with overlapping features. It is possible to have a capitalist economy without complete free enterprise, and possible to have a free market without capitalism.
Any economy is capitalist as long as private individuals control the factors of production. However, a capitalist system can still be regulated by government laws, and the profits of capitalist endeavors can still be taxed heavily.
"Free enterprise" can roughly be understood to mean economic exchanges free of coercive government influence. Although unlikely, it is possible to conceive of a system where individuals choose to hold all property rights in common. Private property rights still exist in a free enterprise system, although the private property may be voluntarily treated as communal without a government mandate.
Many Native American tribes existed with elements of these arrangements, and within a broader capitalist economic family, clubs, co-ops, and joint-stock business firms like partnerships or corporations are all examples of common property institutions.
If accumulation, ownership, and profiting from capital is the central principle of capitalism, then freedom from state coercion is the central principle of free enterprise.

Feudalism the Root of Capitalism

Capitalism grew out of European feudalism. Up until the 12th century, less than 5% of the population of Europe lived in towns. Skilled workers lived in the city but received their keep from feudal lords rather than a real wage, and most workers were serfs for landed nobles. However, by the late Middle Ages rising urbanism, with cities as centers of industry and trade, become more and more economically important.
The advent of true wages offered by the trades encouraged more people to move into towns where they could get money rather than subsistence in exchange for labor. Families’ extra sons and daughters who needed to be put to work, could find new sources of income in the trade towns. Child labor was as much a part of the town's economic development as serfdom was part of the rural life.

Mercantilism Replaces Feudalism

Mercantilism gradually replaced the feudal economic system in Western Europe and became the primary economic system of commerce during the 16th to 18th centuries. Mercantilism started as trade between towns, but it was not necessarily competitive trade. Initially, each town had vastly different products and services that were slowly homogenized by demand over time.
After the homogenization of goods, trade was carried out in broader and broader circles: town to town, county to county, province to province, and, finally, nation to nation. When too many nations were offering similar goods for trade, the trade took on a competitive edge that was sharpened by strong feelings of nationalism in a continent that was constantly embroiled in wars.
Colonialism flourished alongside mercantilism, but the nations seeding the world with settlements were not trying to increase trade. Most colonies were set up with an economic system that smacked of feudalism, with their raw goods going back to the motherland and, in the case of the British colonies in North America, being forced to repurchase the finished product with a pseudo-currency that prevented them from trading with other nations.
It was Adam Smith who noticed that mercantilism was not a force of development and change, but a regressive system that was creating trade imbalances between nations and keeping them from advancing. His ideas for a free market opened the world to capitalism.

Growth of Industrial Capitalism

Smith's ideas were well-timed, as the Industrial Revolution was starting to cause tremors that would soon shake the Western world. The (often literal) gold mine of colonialism had brought new wealth and new demand for the products of domestic industries, which drove the expansion and mechanization of production. As technology leaped ahead and factories no longer had to be built near waterways or windmills to function, industrialists began building in the cities where there were now thousands of people to supply ready labor.
Industrial tycoons were the first people to amass their wealth in their lifetimes, often outstripping both the landed nobles and many of the money lending/banking families. For the first time in history, common people could have hopes of becoming wealthy. The new money crowd built more factories that required more labor, while also producing more goods for people to purchase.
During this period, the term "capitalism"—originating from the Latin word "capitalis," which means "head of cattle"—was first used by French socialist Louis Blanc in 1850, to signify a system of exclusive ownership of industrial means of production by private individuals rather than shared ownership.
Contrary to popular belief, Karl Marx did not coin the word "capitalism," although he certainly contributed to the rise of its use.

Industrial Capitalism's Effects

Industrial capitalism tended to benefit more levels of society rather than just the aristocratic class. Wages increased, helped greatly by the formation of unions. The standard of living also increased with the glut of affordable products being mass-produced. This growth led to the formation of a middle class and began to lift more and more people from the lower classes to swell its ranks.
The economic freedoms of capitalism matured alongside democratic political freedoms, liberal individualism, and the theory of natural rights. This unified maturity is not to say, however, that all capitalist systems are politically free or encourage individual liberty. Economist Milton Friedman, an advocate of capitalism and individual liberty, wrote in Capitalism and Freedom (1962) that "capitalism is a necessary condition for political freedom. It is not a sufficient condition."
A dramatic expansion of the financial sector accompanied the rise of industrial capitalism. Banks had previously served as warehouses for valuables, clearinghouses for long-distance trade, or lenders to nobles and governments. Now they came to serve the needs of everyday commerce and the intermediation of credit for large, long-term investment projects. By the 20th century, as stock exchanges became increasingly public and investment vehicles opened up to more individuals, some economists identified a variation on the system: financial capitalism.

Capitalism and Economic Growth

By creating incentives for entrepreneurs to reallocate away resources from unprofitable channels and into areas where consumers value them more highly, capitalism has proven a highly effective vehicle for economic growth.
Before the rise of capitalism in the 18th and 19th centuries, rapid economic growth occurred primarily through conquest and extraction of resources from conquered peoples. In general, this was a localized, zero-sum process. Research suggests average global per-capita income was unchanged between the rise of agricultural societies through approximately 1750 when the roots of the first Industrial Revolution took hold.
In subsequent centuries, capitalist production processes have greatly enhanced productive capacity. More and better goods became cheaply accessible to wide populations, raising standards of living in previously unthinkable ways. As a result, most political theorists and nearly all economists argue that capitalism is the most efficient and productive system of exchange.

Capitalism vs. Socialism

In terms of political economy, capitalism is often pitted against socialism. The fundamental difference between capitalism and socialism is the ownership and control of the means of production. In a capitalist economy, property and businesses are owned and controlled by individuals. In a socialist economy, the state owns and manages the vital means of production. However, other differences also exist in the form of equity, efficiency, and employment.

Equity

The capitalist economy is unconcerned about equitable arrangements. The argument is that inequality is the driving force that encourages innovation, which then pushes economic development. The primary concern of the socialist model is the redistribution of wealth and resources from the rich to the poor, out of fairness, and to ensure equality in opportunity and equality of outcome. Equality is valued above high achievement, and the collective good is viewed above the opportunity for individuals to advance.

Efficiency

The capitalist argument is that the profit incentive drives corporations to develop innovative new products that are desired by the consumer and have demand in the marketplace. It is argued that the state ownership of the means of production leads to inefficiency because, without the motivation to earn more money, management, workers, and developers are less likely to put forth the extra effort to push new ideas or products.

Employment

In a capitalist economy, the state does not directly employ the workforce. This lack of government-run employment can lead to unemployment during economic recessions and depressions. In a socialist economy, the state is the primary employer. During times of economic hardship, the socialist state can order hiring, so there is full employment. Also, there tends to be a stronger "safety net" in socialist systems for workers who are injured or permanently disabled. Those who can no longer work have fewer options available to help them in capitalist societies.

Mixed System vs. Pure Capitalism

When the government owns some but not all of the means of production, but government interests may legally circumvent, replace, limit, or otherwise regulate private economic interests, that is said to be a mixed economy or mixed economic system. A mixed economy respects property rights, but places limits on them.
Property owners are restricted with regards to how they exchange with one another. These restrictions come in many forms, such as minimum wage laws, tariffs, quotas, windfall taxes, license restrictions, prohibited products or contracts, direct public expropriation, anti-trust legislation, legal tender laws, subsidies, and eminent domain. Governments in mixed economies also fully or partly own and operate certain industries, especially those considered public goods, often enforcing legally binding monopolies in those industries to prohibit competition by private entities.
In contrast, pure capitalism, also known as laissez-faire capitalism or anarcho-capitalism, (such as professed by Murray N. Rothbard) all industries are left up to private ownership and operation, including public goods, and no central government authority provides regulation or supervision of economic activity in general.
The standard spectrum of economic systems places laissez-faire capitalism at one extreme and a complete planned economy—such as communism—at the other. Everything in the middle could be said to be a mixed economy. The mixed economy has elements of both central planning and unplanned private business.
By this definition, nearly every country in the world has a mixed economy, but contemporary mixed economies range in their levels of government intervention. The U.S. and the U.K. have a relatively pure type of capitalism with a minimum of federal regulation in financial and labor markets—sometimes known as Anglo-Saxon capitalism—while Canada and the Nordic countries have created a balance between socialism and capitalism.
Many European nations practice welfare capitalism, a system that is concerned with the social welfare of the worker, and includes such policies as state pensions, universal healthcare, collective bargaining, and industrial safety codes.

Crony Capitalism

Crony capitalism refers to a capitalist society that is based on the close relationships between business people and the state. Instead of success being determined by a free market and the rule of law, the success of a business is dependent on the favoritism that is shown to it by the government in the form of tax breaks, government grants, and other incentives.
In practice, this is the dominant form of capitalism worldwide due to the powerful incentives both faced by governments to extract resources by taxing, regulating, and fostering rent-seeking activity, and those faced by capitalist businesses to increase profits by obtaining subsidies, limiting competition, and erecting barriers to entry. In effect, these forces represent a kind of supply and demand for government intervention in the economy, which arises from the economic system itself.
Crony capitalism is widely blamed for a range of social and economic woes. Both socialists and capitalists blame each other for the rise of crony capitalism. Socialists believe that crony capitalism is the inevitable result of pure capitalism. On the other hand, capitalists believe that crony capitalism arises from the need of socialist governments to control the economy.
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【翻译Quora上一篇问答】中国是否正在面临一次银行危机(谈到房地产) by phoebeDD on 2016-10-04

Is China really facing a banking crisis? What are its origins?
(中国是否正在面对一次银行危机?其根源又是什么?)



According to a recent article titled China facing full-blown banking crisis, world's top financial watchdog war
ns published in the Telegraph:
(根据近期电讯文章报道:“世界顶级金融观察者发出警告:中国正在面临全面的银行危机”)
China has failed to curb excesses in its credit system and faces mounting risks of a full-blown banking crisis
(中国已对债务违约失去控制,他们正在面对随之而来的全面性银行危机)
(中国债务/GDP 占比图)


Financial Crises

International Economics

The Economy

China

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Robin Daverman, Dealmaker
Written Sep 27


Ah, but maybe you want to look around a bit and see how China’s total debt is compared with other economies, like this?
(你可能想看看其他经济体与中国的债务情况相比是怎么样的,如下图)

(G10债务分布图)
If you put China’s data on this chart, it will be somewhere around Canada and New Zealand. Guess Which Country Has Debt Of Nearly 1000% Of GDP... Shocking, isn’t it?
如果你将中国的数据插入上图进行比较的话,中国的数据大约会在加拿大和新西兰之间。猜猜看哪个国家债务大约是自己GDP的10倍....(英国)非常震惊吧
UK has almost 1000% Debt-to-GDP ratio, compared with China’s < 300% Debt-to-GDP ratio, mostly because of that over-sized financial debt - at the end of the day, the government must stand behind it. On top of that, the UK has no resource to sell, hardly any industry left, going through a divorce with EU, and almost never ever meets her fiscal targets. And yet, UK, with its near 1000% debt-to-GDP ratio, is still viewed as the gold standard among safe havens. PRESENTING: The Rosetta Stone Of The Entire Sovereign Debt Crisis Why? Because UK issues debt in her own currency. And who prints the pound? The UK government.
英国的债务/GDP占比将近1000%而中国只是小于300%,其原因是其过于庞大的金融债务——政府最终将不得不为之站台。在此之上,英国没用可出售的资源,没有任何本国工业,正在脱离欧盟,而且英国基本上从来没有达成其财务目标。即使如此,英国仍然被某些传媒视为安全经济体的黄金标准。其原因就是英债都以英镑的方式结算。那么是谁印英镑的呢?英国政府。
Then you take a look at Japan, wow that’s 600%+ debt-to-GDP ratio! But - Japan’s debt is not only mostly internal, in Japanese Yen, but also with 0% or even negative interest. You can roll this kind of debt over practically forever. That’s why people have been yelling about Japanese debt for the last 20 years, and nothing happens.
然后你看看日本,将近600%的债务/GDP占比!但是,日本的债务几乎都是内部的,以日元的形式出售的债务,而且日本是0利率甚至是负利率。实际上这种债务你可以无限积累下去(经济常识:如果是负利率,政府只要保持债务不变,多出来的部分会自行消失)。这就是为啥人们对日债担心了20年但屁事没有发生。
Then you take a look at those economies that have blown up on debt:
Argentina: Government/Sovereign debt in USD, with jurisdiction in New York!Greece: Government/Sovereign debt in Euro, with jurisdiction in Brussels!Iceland: External financial debt → nationalized into Government/Sovereign debt in USD and Euro alone was 700%+ GDP in 2008, with jurisdiction in New York and Brussels.
然后你看看那些因债务问题毁掉的经济体:
阿根廷:政府/主权债务以美元形式结算,其裁判权在纽约!希腊:政府/主权债务以欧元方式结算,其裁判权在布鲁塞尔!冰岛:外部金融债务→债务国有化后2008年政府/主权债务以美元和欧元的形式达到GDP的700%,其裁判权在纽约和布鲁塞尔
Then you look at China, with her debt almost entirely internal, in Chinese RMB to Chinese citizens, government debt at 55%, lower than the US, Japan, and EU average, in her own currency. China’s external debt is about 9% of GDP, globally ranked 184th (less than North Korea, similar to Kosovo) - anyway you look at it, it’s hardly the kind of material to make a banking crisis. China is borrowing a little bit from her own piggy bank. Argentina/Greece/Iceland were borrowing a lot from the Mafia.
然后你看看中国,中国的债务基本都是内部以人民币结算的。中国政府债务只占总债务的55%,比美国,日本和欧盟都要低,再次强调,其债务以人民币结算。中国外部债务只占GDP的9%,全球排行184位(比朝鲜低,比科索沃高)。无论怎么看,你都不会看到中国有任何银行危机的迹象。中国只是向其国内贪心的银行借钱。阿根廷/希腊/冰岛可是像美国欧盟这些黑手党借钱。
PS: The most significant increase in China’s debt is in the financial sector, driven by rising real estate price (which means higher value of housing loans). Right now, the Chinese government is basically using it as a tool to do macro-economic engineering. The goal is to cap urban growth in top tier cities (Beijing, Shanghai, etc.) and push the economic growth to second- and third- tier cities (Hangzhou, the city that just hosted G20, is an example.http://www.g20.org/English/Hangzhou/About/index.html Now you can look back and see why the Chinese government decided to host G20 in a city nobody has ever heard of). This is clearly stated by the Chinese government like 100 times since last year in the official news channels. The reason? Top tier Chinese cities like Shanghai (25 million) already have more city residents than the whole nation of Australia! The metropolitan area of Shanghai (44 million) has more people than the entire population of Canada! In one city! Beijing’s population grew by 8 million within the last decade! The place is simply full.List of cities in China by population and built-up area
PS: 中国最显著的债务增长是在其金融领域内不断升高的房价造成的(不断增高的房贷造成债务问题)。现在中国政府正在利用房价作为宏观经济调控的工具。其目的是限制一线城市的城市化进程和加速二三线城市的发展(刚刚举办了G20的杭州就是个例子,现在你就能知道为啥中国政府将G20放在一个没人听说过的城市举行了)。这些政策中国政府已经在官媒上宣布了无数次。原因就是一线城市,例如上海(2500万人口),其居民数量比阿根廷全国人口还要多!上海都市圈(4400万人口)的人口数量比加拿大全国还要多!北京人口数量在过去的10年内增长了800万!这些城市的人口数量已经饱和了。
In addition to real estate prices, the Chinese government is also doing stuff like restricting residents permits, disallowing second or third homes, even restricting jobs to local residents, everything to say “this place is full. We have these other nice choices, with lower housing prices. Go there.” Young people complaining about housing prices in tier-one cities? But that’s the whole point. The debt you have to take on to live in tier-one cities SHOULD SCARE YOU OFF. The Chinese government is trying to stop the influx of people pouring into tier-one cities, and get these smart and energetic youths to go build two, three, four, five. … more Shanghai’s in other parts of China. 1.4 billion people can’t all fit into tier-one cities.
除了以房地产为手段,中国政府也加强控制了居住证的发放,禁止第二/三套房买入甚至对本地居民的工作种类进行限制,这些都是为了表达一个意思:这些地方都人满为患了。二三线城市有更低的房价和更好的生活条件,快点去那里吧!年轻人都在抱怨一线城市的高房价?但这就是中国政府想要的。你在一线城市生存需要的代价会把你吓退。中国政府正在尝试控制一线城市的人口流入而让有技术和充满活力的年轻人去建设二三四五线城市——让更多的上海出现在国家的其他地方。14亿人口是没可能全部都聚集在一线城市的。
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Paul Denlinger, Involved in China economics study
Written Sep 27


There is too much debt, and a lot of it is likely to turn into bad debt, but that does not equal a banking crisis.
是因为中国贷款太多了,而这些贷款大多数会变成不良贷款,但这些都不等银行危机
Banking crisis may be a nice term to bandy around and get clicks and headlines, but does not really explain what is going on.
银行危机或许是一个十分吸引眼球的头条,但是根本就不能解释实际的情况
There was a lot of debt financing, especially after the 2008 subprime mortgage crisis in the US. In order to keep the economy on a steady keel, the Chinese government, through its banks, pumped money to Chinese state-owned enterprises, in order to keep high employment and maintain an image of “growth”. A lot of this money then found its way into the underground banking system through “wealth management products” and other means. A lot of this has turned into bad debt.
中国政府有过很多次债务融资,特别是08年美国次贷危机之后。为了稳住经济增长,中国政府通过银行将大量人民币注入到国企内以维持就业率和高增长的形象。但这些钱最终大都以理财产品和其他形式流进了地下钱庄。这些大部分都变成了不良贷款。
Another problem area, which frequently overlaps with the “wealth management products” is the local government financing vehicle used to fund local property development, which I have discussed here: Paul Denlinger's answer to Why does China have so many ghost towns?
另一个有问题的领域,和“理财产品”有莫大关联的,就是地方政府为当地基础建设所采用的金融工具(我在这个地方有详细的分析:https://www.quora.com/Why-does-China-have-so-many-ghost-towns/answePaul-Denlinger?srid=tR&share=22b99cfc
What is likely to happen in China is that growth will slow down in some areas, while there will be certain newer parts of the economy which will continue to grow. If the Chinese government is able to support the newer parts of the economy and help them to grow, while cutting back on loans to the weaker parts of the economy, it may be able to handle this transition better.
最可能发生的情况就是中国的经济增长将会放缓,但是肯定会用新的增站点。如果中国政府能支持新的增长点而且能减低夕阳工业的不良贷款率,那么或许能更好地度过过渡期。
This is exactly what the Chinese government is trying to do and you can read about it here:Here is how China is going to quietly save its economy
这些正是中国政府正在尝试去做的,你可以读读这个文章了解一下:http://www.scmp.com/news/china/economy/article/2022491/china-deploys-policy-banks-stealth-mission-stimulate-growth
So, if you are expecting there to be a dramatic run on the banks, and the Chinese people to take to the streets and overthrow the Chinese Communist Party, and become a full-blown democracy like Taiwan, Japan or South Korea, you are very likely to be disappointed.
所以,如果你是期待一次强烈的bank run(自行百度啥是bank run),然后中国人民上街推翻TG,中国大陆变成与台湾,日本韩国一样的政体,那么你要失望了。
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Nikhil Ambhorkar, Self studied Finance.
Written Sep 26


Is China facing a Banking crisis?
中国是在面临一个银行危机吗?
Yes.

Is it facing a full blown Banking crisis?
中国正在面临一个全面性的银行危机吗?
No.

Combined debt of China is almost 300% of its GDP. But the the categorized in 4 parts as it is shown in the image with the question too.
中国的总债务大概是GDP的300%。但是分在了如图所示的4个领域内。
The corporate debt has the lion's portion of the total debt. The household debt and non corporate debt are nothing to worry about because it is less many other developed countries and has some room to grow.
公司债务在总债务中占了大头。个人债务和非公司债务根本没啥可担心的因为这些比大多数发达国家还要低所以还有增长的空间。
Government Debt is not too big when compared to standards set by many global institutions like IMF, World Bank, etc.
政府债务以多数国际组织,例如世行和IMF,设定得标准来看其实不高。
The only major concern which is of a serious magnitude is the corporate debt. This is also reiterated by many economists.
最主要的关注点就是公司债务了。许多经济学家都重申了这点无数次了。
Now the problem with China is that data that comes out of major Chinese institutions is murky so their are many different types of estimates by many different institutions but the common theme in it is corporate debt and its size.
中国最大的问题就是中国国内组织公布的数据来源不清晰所以不同的国际组织对中国经济的实际情况估算会不一样。但所有组织最关心的都是中国的公司债务与其规模。
Corporate debt consists of debt owned by state owned corporations and private corporations. Private corporations in China are generally crowded out by the state owned corporations because of connections and political agenda.
公司债务又分成了国企和私企的债务。中国私企大多数收到国企排挤,这是有政体造成的。
Many state owned corporations have invested into unproductive projects as a result of excess boost given by government after 2008 to prop up the economy. This has resulted in a huge amount of NPAs. So, in all the major problem is state owned corporations piling up huge amount of debt. To solve this problem, the government tried to convert the debt into shares which the bank owns and can recover money through profit dividends but this was one of the causes for last year's stock market crash.
在08年过度的经济刺激政策下,很多国企在许多无效益项目上投了许多钱。这造成了大量的无效能资产。所以,最大的问题是国企堆积了大量债务。为了解决这个问题,政府正在尝试将国企的债务转化为股份,那么银行就能将债务转化为红利而最终将债务收回了。但这造成了上年的股灾.....
Hence, it is a big crisis but not the one government cannot handle with so much trade surplus and forex reserves. But actions are definitely needed to stop it from growing into a bigger problem.
所以,这是一个危机但仍然是政府能控制的,毕竟中国政府有大量贸易顺差和外汇储备。但是仍然需要实际行动来防止事态的扩展。
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Best Time to Trade

One of the most important aspects when trading binary options is to know when to trade the market. Even though trading on foreign exchange options, stock options, commodity options and index options is available 24 -hours a Day, five days a week, not every hour or minute is worth trading.
There are different hours during the day and different days of the week which see more volume and liquidity than others, resulting in high volatility and opportunities to maximize trading. Efects of timing
As a binary options trader, you proft when you correctly predict the direction of an asset price. Volatility is therefore essential to maximize the chances of you increasing your return on investment. Studies have shown that the most active trading hours occur during the European session. In the US, trading activity picks up sharply around 8:30 am EST. this is due to the release of closely watched US economic data, which generates the liquidity and volatility needed for the underlying asset to reach its target price before the option expires. Prices become most volatile when the US releases its monthly non-farm payrolls report on the frst Friday of every month. In contrast, markets will be less active and liquid during major holidays in the US and Europe, resulting in subdued trade. Best days of the week There are days that see more volatility and price action than others. According to The research, Tuesday and Wednesday are considered to be the most active trading days of the week. Friday is also recognized as a high-volatility trading day, especially during the hours when European and US trading sessions overlap. During the second half of the day, price movements can be very unpredictable. Learn More
Most forex traders are more successful during the late US, Asian or early European trading sessions – essentially 2 PM to 6 AM Eastern Time (New York), which is 7 PM to 11 AM UK time
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Curve Fitting And You

Hey folks,
I like taking advantage of algorithmic optimizers to find technical strategies with superior statistical edges, but of course their use is not so simple. I don't want to fall victim to curve fitting.
I'd like to know if anyone on /forex has a set of guidelines to use with optimizing to figure out whether they have a good system or have merely put on the blinders. There are lots of links online, but something as tricky as this is good to discuss openly.
Rules that I've been using:
  1. Large sample size. A run of 100 trades in a given period is more reliable than a run of 40.
  2. Maximum drawdown. An abnormally low drawdown together with small sample size (which often results in an absurd profit factor) just screams "curve fitting".
  3. Re-test with new time period. Run the optimizer for time period N, then test again for a period of at least 2N, or a period that doesn't overlap with the original period. When I do test with overlap, I've seen apparently good strategies waffle around aimlessly, and then miraculously pick up the pace right where I first began the optimization. What a coincidence!
  4. Stability across parameters. If one run provides great results, but the very next run with one of your parameters slightly tweaked totally fails, then you've probably found a fragile little island is a sea of troubles. If large swaths of continuous parameters provide similarly good results across the board, it is more likely that the strategy itself is valid rather than any given set of parameters providing the illusion of a statistical edge.
I'm still very new to technical optimization, so I'd appreciate hearing about your methodology for avoiding curve fitting. In some way, all technical analysis is vulnerable to curve fitting. How do we properly tweak our algorithms to the market, without tweaking them beyond real-world usefulness?
PS. There was an article about using a calculation of trade efficiency to avoid curve fitting, because it should be invariant to the parameters. Unfortunately I've lost this article in a hard drive crash. It is very relevant to this topic: does anyone know what I'm referring to?
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Trading Multiple Time Frames & Overlaps Part1 Forex Market Hours - YouTube Forex Market Hours : Best Time To Trade In Forex Trading Sessions Overlap, Best Time To Trade Volume, Average Pip Movement Forex Market Session Opening & Closing Time  Forex Market ... USE FOREX TRADING HOURS TO INCREASE PROFITS!  MARKET ... Best Forex Trading Times (EU, UK, USA & AU) - Tutorial #5 ...

If you're like a swing trader or position trader, or you trade the longer timeframe, it doesn't really matter when is the best time to trade the Forex market. Because it's irrelevant to you. But if you're a short-term trader (day trading), then it matters to know which is the best time to trade Forex. London Session Using the IQ Option Wiki forex market hours overlaps trading tool. When to trade a particular forex pair depends on a number of factors. The first is when the particular currency is available in the markets. The second factor is when the markets overlap each other. Finally, your time zone also comes into consideration. For a more detailed guide about when to trade forex or binary option, read ... The forex market runs on the normal business hours of four different parts of the world and their respective time zones. The U.S./London markets overlap (8 a.m. to noon EST) has the heaviest ... London/New York Trading Market Overlap (8 am-Noon) The exact opposite of the Tokyo/London overlap session. The time where the consensus two most significant markets are alive and kicking at the same time. Where Forex trading lives and breathes. If you could choose one overlap session to follow and trade, this is the one. 70% of the entire daily volume happens during this session with trends ... Learn about Forex sessions overlapping times shown by the Market 24h Clock: Asian - Pacific Overlap, Asian - European Overlap, European - American Overlap Market24hClock.com is an independent website, and we rely on ad revenue to keep our site running and our information free. What makes foreign exchange trading unique is its 24×5 trading hours. As the forex markets spread all over the world, there are fluctuations and trading opportunities in any period of time, and the exchange rate fluctuations of each currency are different in different market sessions. Now that you know what forex is, why you should trade it, and who makes up the forex market, it’s about time you to learn when you can trade and the different forex trading sessions. Yes, it is true that the forex market is open 24 hours a day, but that doesn’t mean it’s always active the entire day.

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Trading Multiple Time Frames & Overlaps Part1

Forex Market Hours - Forex For Beginners The major forex trading hours and forex trading sessions explained in detail for you. Aside from the forex time zones, I also want to talk about the forex ma... In this video I will explain what the best trading times are for binary options in the three main time zones being Europe (including the UK), America & Austr... Trading Multiple Time Frames & Overlaps Part3 - Duration: 15:02. Douglas Rosen 301 views. 15:02. Vechain (VET) by Sunny Lu - Unleashing the power of Mainnet Vechain [VET] 32,928 watching. Live now ... Hlo guys from this vdo i am going to show you about the timing of forex market.. When a session start and when a session close all things you will know from ... Forex Market Session Opening & Closing Time Forex Market Timing In India Forex Trading Hours - Duration: 7:56. Tube Guru 11,794 views The trading sessions follow each other and overlap each other, allowing traders to work at any time that is most convenient for them. You can be sure that every time you enter the Forex you will ...

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