Eat Pips - Forex Robot Nation

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]

Why I Think The Emphasis On "Strategy" Is So Misplaced

This is a recurring theme that's come up in people reaching out to me via DM. I'm getting asked a LOT about my 'strategy' and getting requests to review your strategies / trading plans, so I thought I'd bang out a post here as a sort of catch-all. It got to the point where I was copy / pasting the same reply to a number of people.
Strategy is really important. You definitely need a cohesive strategy or set of strategies that help determine what gets you in and out of trades. I personally run a mechanical trend-following system in addition to my discretionary style of trading. Even my discretionary style of trading however, is viewed through a framework that gives me consistent structure to follow on trade after trade.
Now that I've gotten that point out of the way, here is my next statement:* Strategy is COMPLETELY USELESS without having a thorough and expert understanding of the markets in the first place*
Here's my analogy: let's say you really want to get into the fast food business. Now let's say you're fairly smart and you realize that your best chances for success are to buy into an established franchise (McDonald's, Taco Bell, KFC, whatever). Now here's the kicker, who do you think is more likely to succeed at running this franchise? Someone who has worked within the industry their entire lives and knows it inside and out, versus someone with no industry experience. Okay, okay, that question is completely rhetorical; it's obvious who has the edge here.
Trading is no different, and it's why buying a course or finding a guru has let so many of you down so many times before. You're trying to follow an established plan (one that has in fact quite possibly brought success to whomever is selling you their wisdom), but without an expert understanding of the industry you are participating in.
If you reject my premise that knowing your shit when it comes to the macro side of things is important, that's fine. Let's take what seems to be the dominant retail route of pure technical analysis. If you don't know technical analysis inside and out, you are not setting yourself up for success when you buy a course (or even read through a free one like BabyPips). After doing a rough search for Forex courses, I haven't found any technical ones (maybe apart from Adam Grimes. I like Adam; don't know the guy personally, but know of him through colleagues) that actually teach you about technical analysis and not just are feeding you a strategy.
My entire point here is that if you don't engage with the nuts and bolts of the arena in which you're competing, you are at an inherent disadvantage. For example, I've talked to a trader that had Stochastics, RSI, AND MACD on their chart. What is the point of having 3 momentum indicators apart from enjoying a gratuitous circle jerk of redundant 'confirmation'? But this trader didn't know the math behind the indicators, what makes them similar and different, how they can be applied. If they did, then maybe they could have explained in greater detail how having those 3 gives them a defined edge.
My favourite example of a trader who 'knows their shit' is Thomas Bulkwoski. I don't like his style, but you can't deny he has done his homework. He has dived so deep into chart patterns that from memory he can quote you various failure points and success rates for individual patterns. He has meticulously studied what works and what doesn't, and can explain the WHY behind all of that.
If you don't know your shit, you will eat shit. So know your shit! Once you know your shit, then it becomes far easier to strategize.
End of rant :)
submitted by ParallaxFX to Forex [link] [comments]

Weekly Roundup | Random Chat | Notifications

News roundup for the previous week.
In International news
  1. Chinese in Australia have setup their own safety networks due to lack of police response
  2. China Is Our Last Diplomatic Hope for North Korea
  3. Mass deportation of Chinese from #Fiji in latest offshore crackdown by Beijing: Fijian and Chinese law enforcement agencies arrest 77 in joint operation similar to others carried out in Indonesia and Cambodia
  4. Launch of China- #Malaysia rail link signals stronger ties: China is funding the 620km-long rail link stretching from Tumpat town, near Malaysia's border with Thailand, to Kuantan Port, before cutting through the mountainous central region to Port Klang, Malaysia's busiest port
  5. #Canadians Have Worse Impression Of U.S. Government Than China: Abacus Poll 49% said they had a "very negative" impression of the U.S. 22% for China. Co-author said it was "remarkable" Canadians having more favourable views of China and Russia than of the "passionate defender of individual freedoms"
  6. China hands Trump a win on North Korea crisis
  7. Taiwan calls time on Mongolia and Tibet affairs commission
  8. South Korean's Leader Bluntly Warns U.S. Against Striking North (Apparently not important enough to make it on Google News Headlines)
  9. Fighting for Chinatown
  10. China won’t allow regime change in N. Korea – fmr US diplomat
  11. Ukraine seeks greater presence in China's agro products market
  12. China tells ‘imperfect’ US to mind its own business over religious freedom criticism
  13. Asian Americans Are Targeted For Hate Crimes More Than We Think
  14. The Shanghai Cooperation Organization (#SCO) completed a joint anti-terrorist drill in Russia's Yaroslavl region located northeast of Moscow, Russia's Federal Security Service (FSB) said
  15. Man Gets Sentenced To Life For Killing USC Student From China
  16. Beijing signs deals with Nepal
  17. Chinese universities rise in world university academic rankings
  18. China's New Base in Djibouti to Aid Economic Expansion in #Africa. Currently, China mainly imports minerals and oil from Africa, but its long-term plan is to build factories on the continent and move some of its manufacturing there to take advantage of the cheaper labor and geographic position
  19. Hard-pedaling Soft Power, China Helps Launch $13B Belt and Road Rail Project in #Malaysia: "The ECRL is indeed yet another 'game changer' and a 'mindset changer' for Malaysia as it will significantly cut travel time to and from the east coast of the peninsula," Malaysian Prime Minister said
  20. 'Economic war with China is everything' Steve Bannon got removed (lol)
  21. Chinese Yang Jiayu wins women's 20km race walk at London World Championships
  22. Asian woman says she quit Google due to racial discrimination
  23. Chinese-Americans concerned about new Texas immigration law
  24. Chinese and #African media houses vow to deepen cooperation in information sharing, best practice and training to improve the dissemination of information
  25. #Pakistan, China sign documents to enhance cooperation in the fields of education and infrastructure development
  26. Former Shanghai teacher now a tribal chief in Nigeria
  27. ‘Duterte wants joint exploration with China’ Foreign Affairs Secretary Alan Peter Cayetano said
In Domestic news
  1. Two arrested in 22-year murder case, one suspect award-winning writer, member of Chinese Writers Association [Chinese]
  2. HK Democracy activist Howard Lam, (aka Staples-Tortured Chub), arrested for misleading police over kidnap claim
  3. Sinopec goes big on geothermal
  4. China Launches ‘Special Crackdown’ on Pyramid Schemes
  5. Police may look into mental health of Hong Kong democracy activist Howard Lam after kidnap claim suspecting mental issues and the stapling was an act of self-harm
  6. 1,290 meters! The main construction of the world's longest 3-tower cable-stayed railway bridge has completed in China
  7. Hong Kong activist Joshua Wong jailed over Occupy protests
  8. China is investigating its major social media sites, including Baidu, WeChat and Weibo, for potentially breaching cybersecurity laws
  9. China’s Major Social Platforms to Cooperate With Authorities in #Cybersecurity: Tieba communication platform, the WeChat messenger and Weibo made separate statements earlier in the day declaring their readiness to actively cooperate with the CAC
  10. China Launches World's Largest Floating #Solar Power Plant: over 160,000 solar panels spreading over 86 hectares of water surface, can provide energy for some 15,000 houses annually
In SciTech news
  1. #Nanochemistry meets macrostructures: Chinese scientists report the synthesis of a macroscopic aerogel from carbonitride nanomaterials which is an excellent catalyst for the water-splitting reaction under visible-light irradiation
  2. Light, strong alloy may alter design of aircraft: The nano ceramic aluminum alloy was developed at Shanghai Jiao Tong University. The new material has already been used in the Tiangong-1 and Tiangong-2 space labs, quantum satellites and meteorological satellites
  3. Converting greenhouse gas to value-added syngas takes a big step forward
  4. China to build first #Mars simulation base: Situated at the Qaidam basin in western Qinghai, Haixi was chosen for its Mars-like landform, landscape and climate
  5. Seeking Greater Global Power, China Looks to Robots and Microchips
  6. Earliest-Known Winged #Mammal Relatives Discovered In China: When you think about the Jurassic Period, you probably think of massive dinosaurs. But now scientists say there were also gliders, akin to today's flying squirrels . Maiopatagium furculiferum and Vilevolodon diplomylos
  7. Chinese satellite sends 'hack-proof' message: The #Micius satellite beamed messages to two mountain-top receiving stations 645 km (400 miles) and 1,200 km away. Complicated optics on the Chinese satellite protect messages with entangled photons
  8. New Privacy Mode Added to DJI Drones, US Army Released Memo to Grant Exception to DJI Ban Pending this New Privacy Mode
  9. Scientists have cloned genetically modified piglets that may prove a safe source of organs for transplants into humans. The piglets, born in a lab in Yunnan, do not carry the active infectious viral gene which has impeded the process of pig-to-human transplantation for more than a decade
  10. China to establish intercontinental ‘hack-proof’ #quantum links with Australia, Europe: Further experiments this year will evolve ground stations in Germany and Italy, Pan added, bringing the project closer to the planned Asian-European secure communication network
  11. Woman Becomes First Person to Be Cryopreserved in China
  12. Novel Thruster Design Could Enable Deeper Travel Into Space
  13. China launches brain-imaging factory
  14. Chinese scientists reveal how itch turns into scratch. In a study published in the U.S. journal Science, researchers reported the discovery of a central neural circuit that moves itch signal from the spinal cord to a part of the brainstem called the parabrachial nucleus (PBN).
  15. China pips US to start world’s first meltdown-proof nuclear reactor
  16. China has unveiled the world's first 'unhackable computer network'
  17. 1,069 dancing robots break Guinness World Record in China (VIDEO)
  18. Despite strains, China and the US are top partners in science
  19. Woman saved by pioneering 3D printed spine in China: had to have six consecutive cervical vertebrae replaced because they had been affected by the rare cancer
  20. Chinese Internet majors compete to dominate #ASEAN tech ecosystem: Baidu, Alibaba, Tencent and JD.com – collectively termed BATJ – are leading a wave of investment into Southeast Asia’s venture ecosystem and technology sector
  21. Who Are China's Biggest Fabless Chipmakers?
In Economic news
  1. Spotlight: Bashing China cannot solve U.S. economic problems, experts say
  2. China July FX reserves unexpectedly hit 9-month high on boost from weak dollar: China's forex reserves, the world's largest, rose $24 billion in July to $3.081 trillion
  3. China's Economic Outlook in Six Charts
  4. Fiat Chrysler could be bought by a Chinese automaker If a deal comes to fruition, it would be a big boon for Chinese car companies looking to improve
  5. Industrial “edge cities” have helped China grow
  6. Deng Xiaoping - the world's greatest economist
  7. US formally launches probe of China trade ties
  8. China emerging as Germany's main economic rival
  9. New investment rules to curb China's foreign acquisition binge
  10. How China’s can-do generation will power economic growth
  11. Young Taiwanese choose China jobs over politics
In Military news
  1. What is China’s PLA doing in #Laos? Beijing's 'Train of Peace' mission to provide medical care to Lao armed forces was nominally a goodwill mission but underscored the country's strategic importance to China's plans for Southeast Asia
  2. Russia, China challenging US military dominance: Mattis
  3. China's making major progress with its aircraft carrier tech (Type 002 to have flat top with catapult, Type 003 to be nuclear powered supercarriers)
  4. Think Tank Says Beijing Continuing #SouthChinaSea Construction. Photos of Tree Island demonstrate sizeable expansion of the island’s above-water mass between August 5, 2015, and August 5, 2017. The size of the island increased by roughly 24 acres between during the time period, AMTI said
  5. #Taiwan says Chinese aircraft fly around island in weekend of drills
  6. #Space Standoff: Uncertainty in Militarized Space. If Russian policy towards the American space program is described as unfriendly, then U.S. policy towards China can be described as nothing short of hostile
  7. Construction of China's 2nd #AircraftCarrier for PLAN Progressing Faster than Expected: propulsion system tests are currently underway. The first and third boilers are already on, and the steam turbines will soon follow. Dockside testing could start within the next month
  8. China has announced plans to bolster its maritime #nuclear capabilities with the creation of a major new joint venture project, could provide the catalyst for the development of floating reactors. The new company will also seek to promote the development of nuclear-powered vessels
  9. The #Pentagon’s top general Joe Dunford, chairman of the Joint Chiefs of Staff, said he discussed with his Chinese counterparts ways to coordinate with China’s military to avoid dangerous miscalculations should war break out with North Korea
Other Notables
  1. Adopted to the US, an American teen’s journey in search of her roots
  2. The busiest employee in a warehouse? Meet China-made warehouse robot!
  3. New research blamed increased competition with China for soaring death rates among white, middle aged Americans (lol)?
  4. On the other side of the table: Nepalese commenters on youtube - to Nepal, India is the big bully, loves China, calls for China's protection
  5. Why Nirvana in Fire is the Best Cdrama
  6. July 2017 Study Refutes Earlier Theories of "Increased US White Male Despair / Deaths Due to Loss of Jobs to China" ("Opioids and obesity, not 'despair deaths,' raising mortality rates for white Americans)
  7. China starts work on world's second-largest hydropower station
  8. Vincent Chin was a Chinese American Man beaten to death in 1982 with a baseball bat by two laid off auto-workers who blamed him for losing their jobs because Japanese cars started becoming popular. The men received initial sentences of 3 years probation and no jail time.
  9. Chinese Guy & American Girlfriend React to Racist Fox News Chinatown Segment
  10. Preserving Nanjing's architectural treasures
  11. The King's Woman 秦时丽人明月心 Airs this week
  12. Hollywood chases after Wu Jing as Wolf Warriors 2, a film with $30M budget crosses $700M mark and still rising.
  13. #Taichi is big in China and its influence is spreading globally: China's mega-rich and powerful believe the merits of the gentle exercise boosts not only personal well-being but company profits and transforms corporate cultures
  14. Why My School Teaches Students to Survive on Next to Nothing
  15. Eddie Huang Serves A White Supremacist & Trump Supporter The Facts While They Eat Chinese Food
  16. #Banda Islands: How Chinese traders – and war over an aphrodisiac – led to a multicultural Indonesia. The world’s major powers considered the Banda Islands the key spoil of a spice war hundreds of years ago and it is this bloody past that made the country what it is today
  17. How the ‘Safest Place on Earth’ Can Be More Welcoming to Others
  18. Modern Chinese Architecture: Landscape Design of Suzhou Vanke Great Lake Park
  19. No.66 Lanman Hutong Renovation
  20. RAW: China holds massive day-night live-fire artillery drill
  21. When Hong Kong workmen dug up 2,000-year-old tomb and were all set to demolish it until public’s enthusiasm saved the day
  22. Long awaited Tribes & Empires: Storm of Prophecy confirmed to air on September 25, 2017.
  23. Heads up, our brothers in arms RT channel has amazing series of documentaries on Chinese culture and the new silk road, very beautifully shot.
  24. Any recent documentaries about modern china history that aren't from the western perspective with English subs or audio?
  25. Forgotten ally? China's unsung role in World War II
  26. 81-Year-Old Chinese Husband Serenades Wife In a Coma For Their 54th Anniversary
  27. How Chop Suey Saved San Francisco's Chinatown [Chinese Food: An All-American Cuisine, Pt. 1]
  28. The Untold Story Of America's Southern Chinese [Chinese Food: An All-American Cuisine, Pt. 2]
  29. 5000 thousands years of beauty.
  30. #WolfWarrior2 Crosses $600M In China; No. 6 All-Time Gross In A Single Market
  31. Throwback to when movies used to start with this...
  32. Alright, I know some of us support Trump, but this better not be you (3rd generation Chinese American Neo-Nazi supporter)
  33. Why the Western definition of human rights is an absurd fraud
  34. #WWE Network to Launch in China: Vince McMahon's pro wrestling organization signed a deal with PPTV to offer a subscription video-on-demand service including all live pay-per-view events
  35. Documentary explores the history of astronomy in China
  36. 'Economic war with China is everything': Trump’s chief strategist in candid interview
  37. The Chinese massacre of 1871 in Los Angeles, California. An estimated 17 to 20 Chinese immigrants were tortured and then hanged by the mob, making the event the largest mass lynching in American history.
  38. Chinese Social Political Stability Rests in "Dual Faceted Identity System" (A Model Societal System Analysis based on Recent Rise of White Nationalism in US)
  39. Lu Xiaojun (77) - 170kg/175kg/177kg Snatch Slow Motion
  40. The Surprisingly Important Role China Played in WWI
  41. Chinese Farmer Builds Epic Multi-Story Platform For 'Pig Diving'
  42. Ai Weiwei takes a small break from mocking Chinese government to criticise western society - "Human Flow" documentary film about refugees
  43. Review: Capitalism With Chinese Characteristics
  44. Hollywood hero with Chinese characteristics
  45. BBC calls what Chinese are doing 'exploitation' while the exact same thing done in the west is ignored.
  46. Ancient poetry content in Chinese text books to sharply increase
  47. The Love Affair of Mussolini’s Daughter Edda & Zhang Xueliang, Heroic China Warlord
  48. 57-year-old man grabs gold medals in body building competition
  49. Cambridge University Press pulls articles in China at Beijing’s request
  50. China's Wolf Warriors 2 joins top 100 grossing films worldwide: non-Hollywood film to break into the top 100 all-time grossing movies worldwide. Knocked 1994's "Forrest Gump" from the No 100 spot
  51. 《追捕》 Manhunt (directed by John Woo) International Trailer
  52. Why Nirvana in Fire is the Best Chinese Drama - Part 2/2
  53. Trying to learn more about traditional chinese culture, what can you guys tell me about the color Qing?
  54. Robot introduced to hospital to autofill prescriptions in E. China
  55. Something worth a grin
  56. Story of China’s ancient military might found carved in cliff
submitted by AutoModerator to Sino [link] [comments]

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