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I saw a post by krishm97 of his positive experience purchasing from mecha.store and I bit the bullet. Before I talk about the delivery process, here are my thoughts on the keyboard(It's my first mech): * It's built like a brick(I got the aluminum version), the first thing that gets you is how heavy it is. * The key travel just feels amazing chef's kiss. Especially since I've used chiclet keyboards all my life. * Overall I love the keyboard but if you're buying browns thinking it's going to be tactile, you're mistaken, as was I. The tactility is barely noticeable, I had bought Kailh blues for a janky hand wire and they feel more tactile. though I think their sound will get overwhelmed if you bottom out.
I placed the order on 15th October for aluminum frame + RGB, and it shipped 4 days later. Since it was taking so long to ship I had contacted them, so pro tip: Contact them on whatsapp rather than email, they respond to WA much quicker. The customs actually took an entire day to clear my package since it got flagged for regulatory review and it arrived two days after that, so all in all it took 11 days.
Keyboard + Shipping from mecha store: INR 8585.55 (Actual conversion for $112.22 is 8292.4, so the rest was forex charges)
Customs Charges: INR 2250(~30% effective)
Of note: They had declared a lower value on the shipment so if your package does not get flagged you might get away with paying less. If you have any questions feel free to post it down below.
RBI & how its policies can start to affect the market
Disclaimer: This DD is to help start forming a market view as per RBI announcements. Also a gentle reminder that fundamentals play out over a longer time frame than intraday. The authors take no responsiblity for your yolos. With contributions by Asli Bakchodi, Bran OP & dragononweed! What is the RBI? RBI is the central bank of India. They are one of the key players who affect India’s economic trajectory. They control currency supply, banking rules and more. This means that it is not a bank in which retailers or corporates can open an account with. Instead they are a bank for bankers and the Government of India. Their functions can be broadly classified into 6. · Monetary authority · Financial supervisor for financial system · Issuer of currency · Manages Foreign exchange · Bankers bank · Banker to the government This DD will take a look at each of these functions. It will be followed by a list of rates the RBI sets, and how changes in them can affect the market. 1.Monetary Authority One of RBI’s functions is to achieve the goal of “Price Stability” in the economy. This essentially means achieving an inflation rate that is within a desired limit. A monetary policy committee (MPC) decides on the desired inflation rate and its limits through majority vote of its 6 members, in consultation with the GoI. The current inflation target for RBI is as follows Consumer Price Inflation (CPI): 4% Upper Limit: 6% Lower Limit: 2% An increase in CPI means less purchasing power. Generally speaking, if inflation is too high, the public starts cutting down on spending, leading to a negative impact on the markets. And vice versa. Lower inflation leads to more purchasing power, more spending, more investments leading to a positive impact on the market. 2.Financial Supervisor For Financial System A financial system consists of financial markets (Capital market, money market, forex market etc.), financial institutions (banks, stock exchanges, NBFC etc) & financial assets (currencies, bills, bonds etc) RBI supervises this entire system and lays down the rules and regulations for it. It can also use further ‘Selective Credit Controls’ to regulate banks. 3.Issues of currency The RBI is responsible for the printing of currency notes. RBI is free to print as much as it wants as long as the minimum reserve of Rs 200 Cr (Gold 112 Cr) is maintained. The RBI has total assets or a balance size sheet of Rs. 51 trillion (April 2020). (1 Trillion = 1 Lakh crore) India’s current reserves mean our increase in currency circulation is well managed. 4.Manages Foreign Exchange RBI regulates all of India’s foreign exchange transactions. It is the custodian of all of foreign currencies in India. It allows for the foreign exchange value of the rupee to be controlled. RBI also buy and sell rupees in the foreign exchange market at its discretion. In case of any currency movement, a country’s central bank can directly intervene to either push the currency up, as India has been doing, or to keep it artificially low, as the Chinese central bank does. To push up a currency, a central bank can sell dollars, which is the global reserve currency, or the currency against which all others are measured. To push down a currency, a central bank can buy dollars. The RBI deciding this depends on the import/export and financial health of the country. Generally a weaker rupee means imports are more expensive, but are favourable for exports. And a stronger rupee means imports are cheaper but are unfavourable for exports. A weaker rupee can make foreign investment more lucrative driving up FII. A stronger rupee can have an adverse effect of FII investing in markets. 5.Banker’s Bank Every bank has to maintain a certain amount of reserve with the RBI. A certain percentage of a bank’s liabilities (anywhere between 3-15% as decided by RBI) has to be maintained in this account. This is called the Cash Reserve Ratio. This is determined by the MPC during the monetary policy review (which happens every six weeks at present). It lends money from this reserve to other banks if they are short on cash, but generally, it is seen as a last resort move. Banks are encouraged to meet their shortfalls of cash from other resources. 6.Banker to the government RBI is the entity that carries out ALL monetary transactions on behalf of the Government. It holds custody of the cash balance of the Government, gives temporary loans to both central and state governments and manages the debt operations of the central Government, through instruments of debt and the interest rates associated with them - like bonds. The different rates set & managed by RBI - Repo rate The rate at which RBI is willing to lend to commercial banks is called as Repo Rate. Banks sometimes need money for emergency or to maintain the SLR and CRR (explained below). They borrow this from RBI but have to pay some interest on it. The interest that is to be paid on the amount to the RBI is called as Repo Rate. It does not function like a normal loan but acts like a forward contract. Banks have to provide collateral like government bonds, T-bills etc. Repo means Repurchase Option is the true meaning of Repo an agreement where the bank promises to repurchase these government securities after the repo period is over. As a tool to control inflation, RBI increases the Repo Rate making it more expensive for banks to borrow from the RBI with a view to restrict availability of money. Exact opposite stance shall be taken in case of deflationary environment. The change of repo rate is aimed to affect the flow of money in the economy. An increase in repo rate decreases the flow of money in the economy, while the decrease in repo rate increases the flow of money in the economy. RBI by changing these rates shows its stance to the economy at large whether they prioritize growth or inflation. - Reverse Repo Rate The rate at which the RBI is willing to borrow from the Banks is called as Reverse Repo Rate. If the RBI increases the reverse repo rate, it means that the RBI is willing to offer lucrative interest rate to banks to park their money with the RBI. Banks in this case agree to resell government securities after reverse repo period. Generally, an increase in reverse repo rate that banks will have a higher incentive to park their money with RBI. It decreases liquidity, affecting the market in a negative manner. Decrease in reverse repo rate increases liquidity affecting the market in a positive manner. Both the repo rate and reverse repo rate fall under the Liquidity Adjustment Facility tools for RBI. - Cash reserve ratio (CRR) Banks in India are required to deposit a specific percentage of their net demand and time liabilities (NDTL) in the form of CASH with the RBI. This minimum ratio (that is the part of the total deposits to be held as cash) is stipulated by the RBI and is known as the CRR or Cash Reserve Ratio. These reserves will not be in circulation at any point in time. For example, if a bank had a NDTL (like current Account, Savings Account and Fixed Deposits) of 100Cr and the CRR is at 3%, it would have to keep 3Cr as Cash reserve ratio to the RBI. This amount earns no interest. Currently it is at 3%. A lower cash ratio means banks can deposit just a lower amount and use the remaining money leading to higher liquidity. This translates to more money to invest which is seen as positive for the market. Inversely, a higher cash ratio equates to lower liquidity which translates to a negative market sentiment. Thus, the RBI uses the CRR to control excess money flow and regulate liquidity in the economy. - Statutory liquidity ratio (SLR) Banks in India have to keep a certain percentage of their net demand and time liabilities WITH THEMSELVES. And this can be in the form of liquid assets like gold and government securities, not just cash. A lot of banks keep them in government bonds as they give a decent interest. The current SLR ratio of 18.25%, which means that for every Rs.100 deposited in a bank, it has to invest Rs.18.50 in any of the asset classes approved by RBI. A low SLR means higher levels of loans to the private sector. This boosts investment and acts as a positive sentiment for the market. Conversely a high SLR means tighter levels of credit and can cause a negative effect on the market. Essentially, the RBI uses the SLR to control ease of credit in the economy. It also ensures that the banks maintain a certain level of funds to meet depositor’s demands instead of over liquidation. - Bank Rate Bank rate is a rate at which the Reserve Bank of India provides the loan to commercial banks without keeping any security. There is no agreement on repurchase that will be drawn up or agreed upon with no collateral as well. This is different from repo rate as loans taken with repo rate are taken on the basis of securities. Bank rate hence is higher than the repo rate. Currently the bank rate is 4.25%. Since bank rate is essentially a loan interest rate like repo rate, it affects the market in similar ways. - Marginal Cost of Funds based Lending Rate (MCLR) This is the minimum rate below which the banks are not allowed to lend. Raising this rate, makes loans more expensive, drying up liquidity, affecting the market in a negative way. Similarly, lower MCLR rates will bring in high liquidity, affecting the market in a positive way. MCLR is a varying lending rate instead of a single rate according to the kind of loans. Currently, the MCLR rate is between 6.65% - 7.15% - Marginal Standing facility Marginal Standing Facility is the interest rate at which a depository institution (generally banks) lends or borrows funds with another depository institution in the overnight market. Overnight market is the part of financial market which offers the shortest term loans. These loans have to be repaid the next day. MSF can be used by a bank after it exhausts its eligible security holdings for borrowing under other options like the Liquidity adjustment facilities. The MSF would be a penal rate for banks and the banks can borrow funds by pledging government securities within the limits of the statutory liquidity ratio. The current rate stands at 4.25%. The effect it has on the market is synonymous with the other lending rates such as repo rate & bank rate. - Loan to value ratio The loan-to-value (LTV) ratio is an assessment of lending risk that financial institutions and other lenders examine before approving a mortgage. Typically, loan assessments with high LTV ratios are considered higher risk loans. Basically, if a companies preferred form of collateral rises in value and leads the market (growing faster than the market), then the company will see the loans that it signed with higher LTV suddenly reduce (but the interest rate remains the same). Let’s consider an example of gold as a collateral. Consider a loan was approved with gold as collateral. The market price for gold is Rs 2000/g, and for each g, a loan of Rs 1500 was given. (The numbers are simplified for understanding). This would put LTV of the loan at 1500/2000 = 0.75. Since it is a substantial LTV, say the company priced the loan at 20% interest rate. Now the next year, the price of gold rose to Rs 3000/kg. This would mean that the LTV of the current loan has changed to 0.5 but the company is not obligated to change the interest rate. This means that even if the company sees a lot of defaults, it is fairly protected by the unexpected surge in the underlying asset. Moreover, since the underlying asset is more valuable, default rates for the loans goes down as people are more protective of the collateral they have placed. The same scenario for gold is happening right now and is the reason for gold backed loan providers like MUTHOOT to hit ATHs as gold is leading the economy right now. Also, these in these scenarios, it also enables companies to offer additional loan on same gold for those who are interested Instead of keeping the loan amount same most of the gold loan companies. Based on above, we can see that as RBI changes LTV for certain assets, we are in a position to identify potential institutions that could get a good Quarterly result and try to enter it early. Conclusion The above rates contain the ways in the Central Bank manages the monetary policy, growth and inflation in the country. Its impact on Stock market is often seen when these rates are changed, they act as triggers for the intraday positions on that day. But overall, the outlook is always maintained on how the RBI sees the country is doing, and knee jerk reactions are limited to intraday positions. The long term stance is always well within the limits of the outlook the big players in the market are expecting. The important thing to keep in mind is that the problems facing the economy needn’t be uni-dimensional. Problems with inflation, growth, liquidity, currency depreciation all can come together, for which the RBI will have to play a balancing role with all it powers to change these rates and the forex reserve. So the effect on the market needs to be given more thought than simply extrapolated as ‘rates go low, markets go up’. But understanding these individual effects of these rates allows you to start putting together the puzzle of how and where the market and the economy could go.
First week of live trading and actually having a plan
Been learning forex trading now for about 2 years just reading and practising on demo, in the past 6 months however I've taken a more data driven approach and now I've just completed my first week of live trading (a small amount, nothing too big, just 200). the plan I guess is to reflect on the trades I've taken every week and use this medium as a way of peer reviewing the things I do. Took 3 trades this week, 21/10/2020 - EURAUD and EURNZD sell After identifying these pairs as sells, I viewed the potential sell move that could take place as a broader sell off of the euro rather than individual rising of the AUD or the NZD. For that reason, I decided to split my normal risk per trade amount (2.5%) in half and treat this as one euro sell trade. I closed my trades when they hit the previous days low, however as you can see, price continued moving down for a deeper sell off which is a lilbit depressing to see, knowing I could have made more if I had held, but meh, still bagged 3 times my risk so can't be too sad for the first trades of the first week. Outcome (In RR): EURAUD - 2.9 EURNZD -3.35 23/10/2020 - AUDNZD Buy I was late on my analysis on this trade because I woke up late, however I was still able to fill the limit order after price returned back to my buy zone. The trade looked good going in, however, the moves that I trade on tend to be higher momentum moves, and a few hours into the trade I could tell that there just wasnt any steam, so I moved the stop closer to the entry (but not breakeven, to give it room to breath), anyway, the market moved against me and took me out for 0.5R, saved 50% from the initial risk size so not bad. Outcome (In RR) -0.5 From demo trading this strategy, I know that sometimes the trades can run for a long time. I was curious to know how those of you that have long term swing moves manage the risk and lock in profits but also give the trades room to breath, I've been messing around with using donchians as a trailing stop method however Im eager to know of other methods. p.s lemme know if Im breaking any rules by posting this here, new to reddit and all, also, if there is any interest in it, I can post my reasoning for entering these trades if requested. p.p.s the screenshots of the trades were moderated out, but I've reposted them on my profile
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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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling
Following a post from u/donjonne about a HUGE Weibo story on how to actually start your own 1:1 repsneaker empire, I figured as a native Mandarin speaker I gave it a shot and translated the entire article, since I myself am pretty damn intrigued what the guy's speaking.Do note this article is written in March 2017, lots of stuff may have been outdated, and I translated word-for-word with some pruned paragraphs that seems like the fella repeating himself. I absolutely hate the weird flowery prose Mandarin always carry when I work on translations, so apologies if the in-jokes or general writing gets a bit dry. This is my personal tl;dr without the author's boastful claims, so if you're short on time, here's the quick rundown.
How do replica sneakers get sold?
Taobao: Long history with the reputation for being the single biggest online BST hub, with Tmall and Xianyu Second-hands integrated. Lots of fake reviews and seller reputation ratings. The rep game there got outta hand, CEO of Alibaba stepped in and cleaned house, thus everyone moved to... WeChat: Lots more convoluted, no proper tracking and confirmation like a real shopping app and build quality can vary greatly between sneaker models from the same seller. But through word-of-mouth, standout resellers get recommended more organically, of course you need connections to start with. Agents: Your best friend if you're overseas, usually ran by freelancers merely collecting orders, reporting back to resellers and have them directly ship your kicks to your doorstep. Agents can be a single person, or a huge operation i.e. Wegobuy and Ytaopal.
How's the quality tho?
Depends. Some will try to bait-and-switch, some will bond genuine friendships for simply being a return customer. Factories often cut corners to save some dough and end up with a worse rep, so like the purpose of this sub, dig into forums and guide yourself to trustworthy sellers. Author also goes on a tangent and revealed the numbers and figures of selling reps, along with the sheer gold rush he's in now. Read below for more info.
Anything of note?
We're getting ripped off. Real hard, if you're a Mainlander chances are you're being sold 1/3 of the prices we see here. Part of the reason is that the multi-level reselling jacks up the price a lot, so unless you're buying in bulk for the purpose of selling them, good luck finding GET-passable OW AJ1's for less than $70. If you get caught selling, it's fines upwards of ¥50,000 and your license revoked, but nothing too serious beyond that. Author promised more novel shoes get made in the future, like Uggs and non-hypebeast dress shoes or sumthin. With that outta the way, here's the translation for the whole article, hope you'll learn something for it and if there's any mistakes, feel free to point it out in DMs or just in the comments. EDIT 17/05/2020: punctuation mistakes and missing formatting, also thanks for the kind words repfam _______________
GOD'S HAND: The Secrets of Replica Sneaker Selling
Having been in the rep game for around 4 to 5 years, it all started out of sheer curiosity. I spent ¥1099 for Air Force 1's some celebrity wore, only to had my buddy show up on me with a fake pair of the same sneaker only costs ¥300. Not everyone is some rich parents' spoiled brat where a pair of shoes costing a couple grand is considered pocket change, yet everyone has that sense of envy, the need to follow the hype to really stand out from the crowd, so do I honestly. But then again you'd only wear that pair of grails for only a good couple months and it'll be out of the wave, why not I find myself a more wallet-friendly way to do so? Ever since dipping my toe into the replica community, I'm making connections, meeting new friends and getting scammed in every step I make, keeping contacts of my favorite sellers (looking back yeah they're not the best and cheapest isn't it huh). I'm deep in the rabbit hole now, buying so many pairs I'm starting to be able to tell batches at a glance, and where to hunt down that very best batch at the cheapest price. At this point it's natural that I'm thinking of selling these reps and becoming a middleman with the best of the batches under one roof (which is what's following below). Anyone who has dealt with middlemen know that actually tracking down the direct factory outlets are nigh impossible, and the multiple stages of middlemen-ception where bigger but more discreet resellers selling to more minor, smaller middlemen can only make one dream of the sheer profit you can make for being on the very top of the pyramid, that idea has only been a mere blip in my mind. There was once in a bar my fam hollered at me with "Yo you remember that John Doe went to Putian for two years? Dude gave up college and has been filthy stinkin' rich by now!" I was like bah it'll never work out for me, but with the summer break I'd worth giving it a shot and have John Doe on the line. And boy howdy, ain't he wildin' right now with his business. Some say every Nike you see there's 1/3 chance it's straight outta Putian, some say Nike's LC works by handling a pair of dumb shoes to an uninformed factory worker and have him say "fuck kinda shoes are these, looks cool I guess so it's legit?" The only way is to really tear down the whole sneaker and see the markings in UV, and once we're on the point where we can fake inside tags and its barcodes, ask yourself can call out fakes on feet? A promotion for \"discount\" NB's on Weibo Ever seen promos like these? It's what I saw on Weibo today, and you've seen one like it yourself did you? They all look good on the images and you'd be right that they're photos of the real deal, just that of course the shoes you actually get were reps, and for each pair profits are never above ¥100; I sell ya an NB for ¥165, I'd only make ¥50.
REPLICA SNEAKERS: HOW DO THEY GET SOLD?
TAOBAO Taobao has always been the single biggest hub for BST. Run by the faceless middlemen, sold by the page visits, and reviewed by the bots. And stores with inflated trust scores were used as a front, once costing hundreds of yuan to buy now go for the tens of thousands. As Taobao is taking action to curb counterfeits to make way for legitimate resellers, these fronts are getting more expensive by the day, since then people took it to WeChat later on. Ask anyone who ran a Taobao store, and they'd tell you "you'll never make a cent unless you're selling fakes". A pair of (fake) shoes take some ¥100 to make, and can be sold as a legit like the thousands of yuan you see on their listings, you'd get away with dozens of fakes sold this way, where you can properly guage and adjust said price to match your profit margins. Once the rep game got popular and the snowball kept rolling, the problem got too big for Ma Yun to not ignore it and he went full banhammer on every rep seller. With every media outlet roasting Taobao's ass, everyone wises up to the knowledge that almost every sneaker you see could be fakes. The stigma lived on, and no one would touch any store where its place of origin writes "Putian". When life gives you lemons, you make a whole damn lemonade stand and just circumvent the whole damn thing by appearing that you're not from Putian. Problem solved. As you check your shipping details, it always seems to travel from Shangai, Shenzen, Quanzhou or even goddamn Xiamen of all places, even overseas. Proxy services are very popular due to China's stringent laws When sneakers are labeled as being shipped from Hong Kong, of course the sellers gonna say "it's from Hong Kong" but in fact it's shipping from Shenzhen, and the seller's excuse is that the sneakers are going through HK's borders from Shenzen then to the buyer's location. Even if you bought fakes in Tmall however, it won't be as bad as the ones sold as legit retails in Taobao. There's just too many of these rip-offs anyway! Had a reseller came to me to buy 10 pairs of sneakers, I make ¥10 each pair, but he sold it as retails and went on to make ¥500 each. Of course I'd panicked a jacked a prices a bit so I could have my own slice of extra profit to ¥20 each pair, said the factories jacked the prices themselves as an excuse. Hoe's mad I guess WECHAT While profit margins are no higher than Taobao, they still range around a dozen yuan on bulk. For all the actual friends I have in WeChat, I'd never believe them not having owned a replica sneaker in their whole life, blah blah blah "factory direct", "wholesale prices" my ass, who really can head to the factories and buy direct these days? Rep resellers buying bulk from those factories are truly the "direct from factory" purchases. Resellers then selling the reps to middlemen and agents, that's another step. Said middlemen then resell these reps to quote-on-quote "middlemen". (NB: may have been the very resellers we see on the sub) And it goes on and on and then, to you, the customer.The so-called A-grade reps you see on WC, let's say we buy it from the factory at ¥200 (for example, the real deal won't be this cheap) and sell to the end-user for ¥400~¥500, it does in fact look decent. Heck, retails may get "called out" in forums and reps may sneak under the radar. Chat and forum opinions aren't good indicatiors for a rep's actual quality. Thus you may wonder why buy retails at this point? No one would really hit the New Balance outlets at their local Wanda mall and ask the teeny-bop promoter lady if their kicks are legit anyway, so wouldn't this been the dream job you've wanted, right? SMALL-TIME AGENTS These sort of agents are mostly handling orders from overseas to cater the westerners, mainly Russian, SE-Asian, North/South American countries etc., and will never be some solo project as they always come in groups of a few dozen staff members. These agent groups can also hire decently well-spoken college students to help converse customers in English and pay them good pocket change, which is eerily similar to how Forex scams work before, but this time they're doing legit businesses for a change. Sort of. FREELANCE AGENTS The most common agent you may come across can be your close friends, they get instant payouts for attracting their local classmates to collect orders for reps, and this wannabe hustler reports them back to the resellers to ship to school dorms directly.
REPLICA BUILD AND QUALITY
Replicas reach far, far and wide. You could see your neighborhood cleaner aunt wearing 990v4s, motorbike taxi riders wearing Duck Camo AM90's, your kind old uncle next door exercising in Flyknit Racers and so on. NB, Nike, Converse, Ascis, Kappa; any brand you wanted they got it. ¥100 to ¥500 is what the factories charge, but after it hits resellers with a ¥200 hike, the illusion what seems to be a shoe that'll last breaks down as it wears out after a few wears. Bad stitching? Poorly-tumbled faux-leather? Off-moulded shape? I'd believe you but you sure you can tell if the EVA is fake by just looking on it? Is the gluing pattern underneath it visible even? A good deal of local boutiques sell ¥120 replicas at official retail prices like ¥599, a good ¥400 profit. Putian factories are split into "heavy" and "light" industries. The heavy industries builds the sneaker as a whole from scratch, while the light industries were like CKD vehicles, where parts are purchased and assembled together instead. and quality of each part of the sneaker depends among factories. Lots of them try to cut corners to save every extra cent, which explains the decreasing quality of recent sneakers you see now. Larger factories has always been delivering consistently decent sneakers, as customers who contacted them are much picker and won't slash prices along with quality out of the blue. The stitching (and Nike Air units/Boost soles even!) is close enough to pass off as retails. Some of the more badass factories can make a batch of 100 brand new replicas for you, just hand in a donor retail pair and they'll get to work.The old dogs in Putian has been around for ages, runs most of the resellers you know and love. They buy reps from the factory direct at ¥140, sell to resellers at ¥160 and have the resellers push ¥180, at these prices the shoes are just not enough to satisfy demand. I've gave it an estimate if the factory got his order to 30 dozen pairs of reps, with each pair a ¥20 profit, we're looking at ¥7,000 a day or ¥20,000 a month in gross profit. Of course, the Sales and Commerce Assoc. will still take a heavy hand on counterfeit sneakers till today, basically a few sellers every month get caught in the counterfeit business. The offenders walk into the office, sit down, had "the talk" yet again and pay a good ¥30k~¥50k fine and had their licenses taken away, for just awhile. Factories themselves get raided very seldom, maybe a every 6 months only a single factory gets caught per year. Putian has become the leading worldwide repsneaker operation for the entire world, and outputs around 50% the actual worldwide sneaker market, an estimated ¥20bn yearly. The Nikes and Adidases you wear now has an "OEM" for that. You may have bought a brand sneaker [in China], but it may very well be a fake regardless, to be fair the quality itself is indistinguishable anyway.
1) The Standard Putian's cheapest offering, pretty much trash tier and a certain Taobao sells them the most often :^) 2) The GET Batch A huge improvement from the Standards, and the so-called 1:1 batch from the mouths of others. It's really not, some of the materials itself is not as fine or accurate as the real deal. Tmall often sells these batches, but often get sold as retails. 3) The 1:1 The absolute tip of the high-end replicas. Take it to HuPu.com and only the eagle-eyed few would call you out. Not everyone can get their hands on them, regardless of price. [eg: similar situation to UABat's Union AJ1's] 4) The Retail Nuff said, just retails. (But really, reps cost just 1/5 of the retail price, why bother lol?) A snapshot of KFC6855's wares
HOW TO TELL FAKES
[The author essentially details how to LC NB998's, so this is best skipped as it adds nothing to the article other than repeating the author's point over and over.]
THE REPSNEAKER FUTURE
If you ever think replica sneakers will only remain within the hypebeast sporty trainer radar, oh you'd be surprised. The replica factories are on full steam, churning out Dr. Martens, UGGS, Tod's and a lot more to come. If you're interested, my WeChat: KFC6855 has them on sale right now, guaranteed to keep ya comfy this winter. With all that said, I hope you learnt something from this, and now that you know if you really wanted a retail pair to sleep well at night, just don't get 'em in online stores. There's no glitz and glamor selling counterfeit sneakers, it's just business after all. If you know, you know.
[META] Recent scam/spam trends.. Or, a peak inside what it's like to moderate /r/forex
After a few...especially trying...interactions with unhappy ban recipients today, I thought it would be fun to share a little info on what moderators do to keep this place clean. :) The forex industry is full of shady characters. Any industry sitting on the intersection of financial independence, work, and money, is bound to attract them. There are many reasons for this; the lower barrier to entry compared to other markets, the lack of public knowledge on the subject, and greedy human nature to name a few. Moderating a subreddit dedicated to forex (or anything trading realted for that matter,) presents extra challenges beyond your regular sub. Marketers and scammers are super motivated, and MLM / referral marketing is extremely popular right now, which can turn everyday regular users into sources of spam. How we currently tackle this problem involves technology (scripts, bots, and automod,) a mod review workflow, and some smart sleuthing when needed. The mod team and our scripts aren't perfect though... but the few false positives we get are a very, very small fraction of all mod actions taken (~1%.) Unfortunately, that means some otherwise sincere members get handled roughly, and that can really suck.. I wish there was a better way, but the alternative is this place becomes a wild west and starts looking like your gmail spam folder. That said, here's my personal stats for JUST the last 24 hours:
Bans: 14[edit:16 nowbefore day's end, two more responding to a 'where can I learn how to trade' post.]
All mod actions (including bans, post and comment removal, etc..): 63
Ban appeals: 2
And I'm just one of the mods. . . So what scammer and marketing trends are we seeing lately?
Content marketing - Infographics with instagram handles watermarked in them, or a blog-like post with a embedded links to their own site.
Personal/direct selling - trying to move the conversation out of public view, usually by taking things to DM, or promoting a 3rd party chatroom where the rules here no longer apply.
Shills - Fake accounts used to boost the credit of another user, or service. It's no coincidence that a user asking about 'ULRA PRO SIGNALZ' will quickly have 5+ replies by low karma, new users, saying how great the service is. [edit:here's an example I just caught..]
Fake P/L Porn - We see this quite often. It's easy to fake MT4 account statements and MT4 Mobile screenshots, and new users can't tell the difference so these posts will get a lot of undeserved attention. When people ask how OP made such mad cash, a sales pitch is usually coming right up.
Honestly, it can be really frustrating at times.. luckily the scripts we have in place make weeding out ~80% of these jokers quite easy and quick. Heck, we had one scammer who blew through 12+ accounts over the last few days trying to scam people but none of their posts ever saw the light of day thanks to the spam triggers I've written. What motivates the mod team to keep this place clean? That's an easy answer: The majority of users here are new to trading. Making sure they aren't food for the wolves is important. But even with all the measures we take, some bad actors still get through. So here's where you can help: Use the report button! Anytime you see something that you think fits the descriptions listed above, or violates our sidebar rules, just report it. Even if you're not 100% sure, don't be afraid to use the report tool.. The worst thing that can happen is the mod team reviews and approves it, but the best outcome is you directly help keep this place clean and humming! :) And the mod team is always looking to improve where it can: I've already talked about what we do to scrub away bad actors, but one place we could do better is education. The plan is to rewrite a good portion of the wiki to include the following sections:
Spotting scams and scammers
How to properly compare brokers and regulatory bodies
The real reason why your old high school friend wants you to sign up to IML, and 10 ways to politely tell him to pound sand
No, that hot instagram model won't sleep with you if you buy her online course
Why all signal services are trash and can die in a fire
(Titles above are a work in progress ;P) Are you a good writer and want to help out with this? Think you can write up a killer wiki article on spotting scam artists? Message the mods and let us know! Finally, a reminder, we are still interested in taking on more moderators and will be revisiting that very shortly. If you'd be interested, read through this post and reply accordingly: https://www.reddit.com/Forex/comments/h7ok6k/seeking_more_mods_recruitment_thread/
No, the British did not steal $45 trillion from India
This is an updated copy of the version on BadHistory. I plan to update it in accordance with the feedback I got. I'd like to thank two people who will remain anonymous for helping me greatly with this post (you know who you are) Three years ago a festschrift for Binay Bhushan Chaudhuri was published by Shubhra Chakrabarti, a history teacher at the University of Delhi and Utsa Patnaik, a Marxist economist who taught at JNU until 2010. One of the essays in the festschirt by Utsa Patnaik was an attempt to quantify the "drain" undergone by India during British Rule. Her conclusion? Britain robbed India of $45 trillion (or £9.2 trillion) during their 200 or so years of rule. This figure was immensely popular, and got republished in several major news outlets (here, here, here, here (they get the number wrong) and more recently here), got a mention from the Minister of External Affairs & returns 29,100 results on Google. There's also plenty of references to it here on Reddit. Patnaik is not the first to calculate such a figure. Angus Maddison thought it was £100 million, Simon Digby said £1 billion, Javier Estaban said £40 million see Roy (2019). The huge range of figures should set off some alarm bells. So how did Patnaik calculate this (shockingly large) figure? Well, even though I don't have access to the festschrift, she conveniently has written an article detailing her methodology here. Let's have a look.
How exactly did the British manage to diddle us and drain our wealth’ ? was the question that Basudev Chatterjee (later editor of a volume in the Towards Freedom project) had posed to me 50 years ago when we were fellow-students abroad.
This is begging the question.
After decades of research I find that using India’s commodity export surplus as the measure and applying an interest rate of 5%, the total drain from 1765 to 1938, compounded up to 2016, comes to £9.2 trillion; since $4.86 exchanged for £1 those days, this sum equals about $45 trillion.
This is completely meaningless. To understand why it's meaningless consider India's annual coconut exports. These are almost certainly a surplus but the surplus in trade is countered by the other country buying the product (indeed, by definition, trade surpluses contribute to the GDP of a nation which hardly plays into intuitive conceptualisations of drain). Furthermore, Dewey (2019) critiques the 5% interest rate.
She [Patnaik] consistently adopts statistical assumptions (such as compound interest at a rate of 5% per annum over centuries) that exaggerate the magnitude of the drain
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Drain theory possessed the political merit of being easily grasped by a nation of peasants. [...] No other idea could arouse people than the thought that they were being taxed so that others in far off lands might live in comfort. [...] It was, therefore, inevitable that the drain theory became the main staple of nationalist political agitation during the Gandhian era.
The key factor was Britain’s control over our taxation revenues combined with control over India’s financial gold and forex earnings from its booming commodity export surplus with the world. Simply put, Britain used locally raised rupee tax revenues to pay for its net import of goods, a highly abnormal use of budgetary funds not seen in any sovereign country.
The issue with figures like these is they all make certain methodological assumptions that are impossible to prove. From Roy in Frankema et al. (2019):
the "drain theory" of Indian poverty cannot be tested with evidence, for several reasons. First, it rests on the counterfactual that any money saved on account of factor payments abroad would translate into domestic investment, which can never be proved. Second, it rests on "the primitive notion that all payments to foreigners are "drain"", that is, on the assumption that these payments did not contribute to domestic national income to the equivalent extent (Kumar 1985, 384; see also Chaudhuri 1968). Again, this cannot be tested. [...] Fourth, while British officers serving India did receive salaries that were many times that of the average income in India, a paper using cross-country data shows that colonies with better paid officers were governed better (Jones 2013).
Indeed, drain theory rests on some very weak foundations. This, in of itself, should be enough to dismiss any of the other figures that get thrown out. Nonetheless, I felt it would be a useful exercise to continue exploring Patnaik's take on drain theory.
The East India Company from 1765 onwards allocated every year up to one-third of Indian budgetary revenues net of collection costs, to buy a large volume of goods for direct import into Britain, far in excess of that country’s own needs.
So what's going on here? Well Roy (2019) explains it better:
Colonial India ran an export surplus, which, together with foreign investment, was used to pay for services purchased from Britain. These payments included interest on public debt, salaries, and pensions paid to government offcers who had come from Britain, salaries of managers and engineers, guaranteed profts paid to railway companies, and repatriated business profts. How do we know that any of these payments involved paying too much? The answer is we do not.
So what was really happening is the government was paying its workers for services (as well as guaranteeing profits - to promote investment - something the GoI does today Dalal (2019), and promoting business in India), and those workers were remitting some of that money to Britain. This is hardly a drain (unless, of course, Indian diaspora around the world today are "draining" it). In some cases, the remittances would take the form of goods (as described) see Chaudhuri (1983):
It is obvious that these debit items were financed through the export surplus on merchandise account, and later, when railway construction started on a large scale in India, through capital import. Until 1833 the East India Company followed a cumbersome method in remitting the annual home charges. This was to purchase export commodities in India out of revenue, which were then shipped to London and the proceeds from their sale handed over to the home treasury.
While Roy's earlier point argues better paid officers governed better, it is honestly impossible to say what part of the repatriated export surplus was a drain, and what was not. However calling all of it a drain is definitely misguided. It's worth noting that Patnaik seems to make no attempt to quantify the benefits of the Raj either, Dewey (2019)'s 2nd criticism:
she [Patnaik] consistently ignores research that would tend to cut the economic impact of the drain down to size, such as the work on the sources of investment during the industrial revolution (which shows that industrialisation was financed by the ploughed-back profits of industrialists) or the costs of empire school (which stresses the high price of imperial defence)
Since tropical goods were highly prized in other cold temperate countries which could never produce them, in effect these free goods represented international purchasing power for Britain which kept a part for its own use and re-exported the balance to other countries in Europe and North America against import of food grains, iron and other goods in which it was deficient.
Re-exports necessarily adds value to goods when the goods are processed and when the goods are transported. The country with the largest navy at the time would presumably be in very good stead to do the latter.
The British historians Phyllis Deane and WA Cole presented an incorrect estimate of Britain’s 18th-19th century trade volume, by leaving out re-exports completely. I found that by 1800 Britain’s total trade was 62% higher than their estimate, on applying the correct definition of trade including re-exports, that is used by the United Nations and by all other international organisations.
While interesting, and certainly expected for such an old book, re-exporting necessarily adds value to goods.
When the Crown took over from the Company, from 1861 a clever system was developed under which all of India’s financial gold and forex earnings from its fast-rising commodity export surplus with the world, was intercepted and appropriated by Britain. As before up to a third of India’s rising budgetary revenues was not spent domestically but was set aside as ‘expenditure abroad’.
So, what does this mean? Britain appropriated all of India's earnings, and then spent a third of it aboard? Not exactly. She is describing home charges see Roy (2019) again:
Some of the expenditures on defense and administration were made in sterling and went out of the country. This payment by the government was known as the Home Charges. For example, interest payment on loans raised to finance construction of railways and irrigation works, pensions paid to retired officers, and purchase of stores, were payments in sterling. [...] almost all money that the government paid abroad corresponded to the purchase of a service from abroad. [...] The balance of payments system that emerged after 1800 was based on standard business principles.India bought something and paid for it.State revenues were used to pay for wages of people hired abroad, pay for interest on loans raised abroad, and repatriation of profits on foreign investments coming into India. These were legitimate market transactions.
Indeed, if paying for what you buy is drain, then several billions of us are drained every day.
The Secretary of State for India in Council, based in London, invited foreign importers to deposit with him the payment (in gold, sterling and their own currencies) for their net imports from India, and these gold and forex payments disappeared into the yawning maw of the SoS’s account in the Bank of England.
It should be noted that India having two heads was beneficial, and encouraged investment per Roy (2019):
The fact that the India Office in London managed a part of the monetary system made India creditworthy, stabilized its currency, and encouraged foreign savers to put money into railways and private enterprise in India. Current research on the history of public debt shows that stable and large colonies found it easier to borrow abroad than independent economies because the investors trusted the guarantee of the colonist powers.
Against India’s net foreign earnings he issued bills, termed Council bills (CBs), to an equivalent rupee value. The rate (between gold-linked sterling and silver rupee) at which the bills were issued, was carefully adjusted to the last farthing, so that foreigners would never find it more profitable to ship financial gold as payment directly to Indians, compared to using the CB route. Foreign importers then sent the CBs by post or by telegraph to the export houses in India, that via the exchange banks were paid out of the budgeted provision of sums under ‘expenditure abroad’, and the exporters in turn paid the producers (peasants and artisans) from whom they sourced the goods.
Sunderland (2013) argues CBs had two main roles (and neither were part of a grand plot to keep gold out of India):
Council bills had two roles. They firstly promoted trade by handing the IO some control of the rate of exchange and allowing the exchange banks to remit funds to India and to hedge currency transaction risks. They also enabled the Indian government to transfer cash to England for the payment of its UK commitments.
The United Nations (1962) historical data for 1900 to 1960, show that for three decades up to 1928 (and very likely earlier too) India posted the second highest merchandise export surplus in the world, with USA in the first position. Not only were Indians deprived of every bit of the enormous international purchasing power they had earned over 175 years, even its rupee equivalent was not issued to them since not even the colonial government was credited with any part of India’s net gold and forex earnings against which it could issue rupees. The sleight-of-hand employed, namely ‘paying’ producers out of their own taxes, made India’s export surplus unrequited and constituted a tax-financed drain to the metropolis, as had been correctly pointed out by those highly insightful classical writers, Dadabhai Naoroji and RCDutt.
It doesn't appear that others appreciate their insight Roy (2019):
K. N. Chaudhuri rightly calls such practice ‘confused’ economics ‘coloured by political feelings’.
Surplus budgets to effect such heavy tax-financed transfers had a severe employment–reducing and income-deflating effect: mass consumption was squeezed in order to release export goods. Per capita annual foodgrains absorption in British India declined from 210 kg. during the period 1904-09, to 157 kg. during 1937-41, and to only 137 kg by 1946.
If even a part of its enormous foreign earnings had been credited to it and not entirely siphoned off, India could have imported modern technology to build up an industrial structure as Japan was doing.
This is, unfortunately, impossible to prove. Had the British not arrived in India, there is no clear indication that India would've united (this is arguably more plausible than the given counterfactual1). Had the British not arrived in India, there is no clear indication India would not have been nuked in WW2, much like Japan. Had the British not arrived in India, there is no clear indication India would not have been invaded by lizard people, much like Japan. The list continues eternally. Nevertheless, I will charitably examine the given counterfactual anyway. Did pre-colonial India have industrial potential? The answer is a resounding no. From Gupta (1980):
This article starts from the premise that while economic categories - the extent of commodity production, wage labour, monetarisation of the economy, etc - should be the basis for any analysis of the production relations of pre-British India, it is the nature of class struggles arising out of particular class alignments that finally gives the decisive twist to social change. Arguing on this premise, and analysing the available evidence, this article concludes that there was little potential for industrial revolution before the British arrived in India because, whatever might have been the character of economic categories of that period,the class relations had not sufficiently matured to develop productive forces and the required class struggle for a 'revolution' to take place.
Yet all of this did not amount to an economic situation comparable to that of western Europe on the eve of the industrial revolution. Her technology - in agriculture as well as manufacturers - had by and large been stagnant for centuries. [...] The weakness of the Indian economy in the mid-eighteenth century, as compared to pre-industrial Europe was not simply a matter of technology and commercial and industrial organization. No scientific or geographical revolution formed part of the eighteenth-century Indian's historical experience. [...] Spontaneous movement towards industrialisation is unlikely in such a situation.
So now we've established India did not have industrial potential, was India similar to Japan just before the Meiji era? The answer, yet again, unsurprisingly, is no. Japan's economic situation was not comparable to India's, which allowed for Japan to finance its revolution. From Yasuba (1986):
All in all, the Japanese standard of living may not have been much below the English standard of living before industrialization, and both of them may have been considerably higher than the Indian standard of living. We can no longer say that Japan started from a pathetically low economic level and achieved a rapid or even "miraculous" economic growth. Japan's per capita income was almost as high as in Western Europe before industrialization, and it was possible for Japan to produce surplus in the Meiji Period to finance private and public capital formation.
The circumstances that led to Meiji Japan were extremely unique. See Tomlinson (1985):
Most modern comparisons between India and Japan, written by either Indianists or Japanese specialists, stress instead that industrial growth in Meiji Japan was the product of unique features that were not reproducible elsewhere. [...] it is undoubtably true that Japan's progress to industrialization has been unique and unrepeatable
So there you have it. Unsubstantiated statistical assumptions, calling any number you can a drain & assuming a counterfactual for no good reason gets you this $45 trillion number. Hopefully that's enough to bury it in the ground. 1. Several authors have affirmed that Indian identity is a colonial artefact. For example seeRajan 1969:
Perhaps the single greatest and most enduring impact of British rule over India is that it created an Indian nation, in the modern political sense. After centuries of rule by different dynasties overparts of the Indian sub-continent, and after about 100 years of British rule, Indians ceased to be merely Bengalis, Maharashtrians,or Tamils, linguistically and culturally.
But then, it would be anachronistic to condemn eighteenth-century Indians, who served the British, as collaborators, when the notion of 'democratic' nationalism or of an Indian 'nation' did not then exist.[...]Indians who fought for them, differed from the Europeans in having a primary attachment to a non-belligerent religion, family and local chief, which was stronger than any identity they might have with a more remote prince or 'nation'.
Chakrabarti, Shubra & Patnaik, Utsa (2018). Agrarian and other histories: Essays for Binay Bhushan Chaudhuri. Colombia University Press Hickel, Jason (2018). How the British stole $45 trillion from India. The Guardian Bhuyan, Aroonim & Sharma, Krishan (2019). The Great Loot: How the British stole $45 trillion from India. Indiapost Monbiot, George (2020). English Landowners have stolen our rights. It is time to reclaim them. The Guardian Tsjeng, Zing (2020). How Britain Stole $45 trillion from India with trains | Empires of Dirt. Vice Chaudhury, Dipanjan (2019). British looted $45 trillion from India in today’s value: Jaishankar. The Economic Times Roy, Tirthankar (2019). How British rule changed India's economy: The Paradox of the Raj. Palgrave Macmillan Patnaik, Utsa (2018). How the British impoverished India. Hindustan Times Tuovila, Alicia (2019). Expenditure method. Investopedia Dewey, Clive (2019). Changing the guard: The dissolution of the nationalist–Marxist orthodoxy in the agrarian and agricultural history of India. The Indian Economic & Social History Review Chandra, Bipan et al. (1989). India's Struggle for Independence, 1857-1947. Penguin Books Frankema, Ewout & Booth, Anne (2019). Fiscal Capacity and the Colonial State in Asia and Africa, c. 1850-1960. Cambridge University Press Dalal, Sucheta (2019). IL&FS Controversy: Centre is Paying Up on Sovereign Guarantees to ADB, KfW for Group's Loan. TheWire Chaudhuri, K.N. (1983). X - Foreign Trade and Balance of Payments (1757–1947). Cambridge University Press Sunderland, David (2013). Financing the Raj: The City of London and Colonial India, 1858-1940. Boydell Press Dewey, Clive (1978). Patwari and Chaukidar: Subordinate officials and the reliability of India’s agricultural statistics. Athlone Press Smith, Lisa (2015). The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth. Food Policy Duh, Josephine & Spears, Dean (2016). Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle. The Economic Journal Vankatesh, P. et al. (2016). Relationship between Food Production and Consumption Diversity in India – Empirical Evidences from Cross Section Analysis. Agricultural Economics Research Review Gupta, Shaibal (1980). Potential of Industrial Revolution in Pre-British India. Economic and Political Weekly Raychaudhuri, Tapan (1983). I - The mid-eighteenth-century background. Cambridge University Press Yasuba, Yasukichi (1986). Standard of Living in Japan Before Industrialization: From what Level did Japan Begin? A Comment. The Journal of Economic History Tomblinson, B.R. (1985). Writing History Sideways: Lessons for Indian Economic Historians from Meiji Japan. Cambridge University Press Rajan, M.S. (1969). The Impact of British Rule in India. Journal of Contemporary History Bryant, G.J. (2000). Indigenous Mercenaries in the Service of European Imperialists: The Case of the Sepoys in the Early British Indian Army, 1750-1800. War in History
Managers face a new challenge–managing a remote forex trader team with more and more Forex companies looking out for outsourcing. Events such as motivational tactics, task control and Communications still require a specialist approach even if this has been simplified using technology and a high-speed Internet. The advantages of employing people on a distance are endless and make your competitive edge easy. Your company can help create a talented team of the best specialists in the market because you can not just hire people from everywhere in the world. This is why a remote employment type will continue to gain momentum in the future. It’s all the challenges that value it. Remote job is very easy–output, autonomy and flexibility. You influence the manner you operate your team, the smoothness and achievement of the company procedures. And although most individuals still think that remote employees are not as productive as usual in office, the reality of the matter is that most remote employees actually see an increase in productivity equal to a complete additional working day. So how do you efficiently handle a distant team? How can you contribute to its growth, commitment and coordination? Below are some tips that we have collected to assist you find the response. TIP 1 – Maintain high performance If your team scatters throughout the world, productivity can be impacted, unless certain measures are taken to keep it. It is not only difficult to say in a virtual environment how much time your staff spend on assignments and how successful they are, but also it is essential to be evident how the entire team handles the workload. Therefore, it is essential that a business process is well thought-out and that several software tools are used. Training tools such as Toggl or Clockify can help you to really understand the processes underway, the amount of time spent on these projects, and the number of breaks taken in real time. This allows executives to identify the weaknesses of each worker and attempt to solve them. This doesn’t imply that you need to overuse these applications and develop stringent procedures. If you work remotely, you are likely to choose this due to the flexibility it provides you. Managers need to strike a balance between liberty and coherent timescales for their staff. For instance, they must decide which communication instruments they use to discuss issues of great significance–Chat with urgent subjects, Email with stuff to wait and Video Calls. Furthermore, all project information must be available to every member of the team (instruments like Google Drive and DropBox may assist). It must also ensure complete transparency and transparency. They also need to bear in mind always that distant workers can all operate in distinct time zones, so that everyone can tune in to a video call, it is essential to discover a time window. Also, when employing persons, you need to ensure that your location time differences are not more than 3 hours from the time zone of your office. Due to time differences, for each conference you always have to have a very clear agenda and must stick to it. Finally, you need to measure the yield to always have your hand on the pulse. Try to list all the main points in the work of each team member that indicate the performance. Set clear objectives with measurable outcomes so you can see clearly what is anticipated and how well your staff are responding to these expectations. Hold monthly reviews in the team to see how all people work together and whether everyone handles them properly. However, do not be scared to give honest feedback, remember that individuals almost always concentrate more on beneficial than adverse points. This is why executives have to be frank and always attempt to discover something useful at the end. TIP 2 – Strengthen communication skills For each team, good communication between employees is essential, but for distant teams in particular. The absence of physical attendance and distinct working schedules can all lead your team members to operate as people instead of a united front. Remote teams effectively need to interact twice if not three times the ordinary team. And executives must support these communications by creating more possibilities. Set some of your team’s prompters. Say you always mark the time places if you are on your schedule for calls. Select and ensure your team uses the primary communication instruments. Implement instruments like Slack, WebEx and Skype and let your staff know that they are available all the time. Agree on the duration of an email reply so that you understand when to expect answers to your message. Try as much as necessary to integrate video calls. IMCCAs have found that, when they actively use video conference instruments, 90% of remote personnel feel more linked with their team. Video enables your team to make a name face and bind better. When you see a individual, it’s always simpler to speak to than just by messaging. Video calling helps your distant team feel moved and isolated less. Share your screen with your team members to facilitate and clarify clarifications. Create distinct channels for sharing of interesting stuff, such as fun stories, suggestions for films or updates on TV shows that you all view. Your purpose is to create a virtual environment that fosters and enhances communication between your team. TIP 3 – Engaging, Inspiring And Motivating The main element of effective teamwork is motivation. Entrepreneur says company costs 450 to $550 billion per year in losses of productivity for an unmotivated or de-engaged employee. Managers who work with remote teams have to invest in them and work hard every day to increase morality. In distant teams it is even more essential to build a powerful corporate culture than in the physical. Begin with transparency, one of the basic elements of a driven team. You need to make sure that all of your team know precisely what the business is doing, its goals and its role. Share corporate news and updates, celebrate your own accomplishments and attempt to make your team feel real. Be frank and let them know you as their leader. Discuss yourselves with them and share your private vision. Describe the stuff you handle at the moment, so they know that you do as difficult as you do. Request your advice on various issues and opinions. Be in keeping with feedback and with your praise in particular. Don’t just ask them to do a nice job, but to highlight certain accomplishments and duties. In corporate public chats, try also to praise your distant staff for their accomplishments throughout the whole business. Create your team’s rituals and traditions. Celebrate the birthdays and unique occasions of your distant staff. Why doesn’t every team member ask for a brief video that you wish to edit later and send to your partner celebrating? Improve camaraderie with true private communication through investments at least once a year in corporate retreats where your distant team can meet in reality. Find out more here about motivating your team. TIP 4 – Select your team with wisely Hiring individuals with the correct distance to work is your halfway to achievement. It’s all about everything else. You can also influence your entire team with a lazy or unprofessional distant worker. This is why certain precautions are essential during the recruitment process. First and foremost, nobody claims you have to employ the individual from the beginning. Test your skills and abilities for a number of months by employing them part-time and giving them the opportunity to work long term when you’re sure they’re a nice addition to your staff. Don’t be stingy with salaries. Just because your employee is working remotely doesn’t mean that they aren’t doing more than your typical office worker does. In most cases, remote workers are actually doing more, so their salaries have to reflect this. Make sure your fresh remote staff can function from home. Do you have a good working environment where you can concentrate without distractions? Otherwise, it may be better to propose either paying for co-working space or buying equipment to build that room at home for them. Take into consideration that your staff can all come from distinct nations and cultures. Learn how to talk obviously and broadly convey your message. Ask your team in their message to use easy phrases and a neutral tone. Maintain a calendar of all global holidays affecting and planning your team members. Make sure fresh staff are quick to retire. Create a guide with all the primary information about your job and the instruments you use. Ask your team members to share their finest advice on remote working. Recall the faster the better they adjust. Managing distance teams can be challenging, but actually you can create a skilled, loyal, hard-working team with a few simple rules to assist your company to succeed.
Putting business online is one of the crucial things in today’s world. But just going online isn’t enough to reach your target audience; you also need to preserve all sorts of website expertise. You should also concentrate on sophisticated SEO strategies and properly apply them for better productivity. In this technology-prone age, Forex SEO strategies will change the entire forex market scenario to yield better returns. The SEO tactics will change anytime, and the worst thing is that sometimes you have no clue. Search engine optimization research is great to boost the forex platform rankings. Which Forex SEO tactics should you implement in 2018? Review the Top 8 SEO strategies chart below:
Make Your Website Super-Fast Looking at the last five years ‘ forex website design, you will remember how sluggish they were. And now, the situation has changed significantly, focusing more on the speed of mobile browsing relative to desktops and laptops. Forex SEO can be best applied with a super-fast Forex website, as it is also a key factor in rankings.
Maintain Your Website Mobile Friendliness Once combined with mobile optimization, Forex SEO helps build stable links and allows the search process easier and faster. Customers are more familiar with the smartphone, so after Google prioritizes, they see those forex sites that are faster and ranked in top position.
Produce High-Quality Content Forex SEO service continues to be quite spectacular when combined with the appealing, error-free content that contains the targeted keywords. Well-researched quality content is now highly in demand and helps build good, long-term customer relationships.
Update Your Blog It’s important to match the existing content with successful and appropriate improvements to boost organic traffic on your respective forex website. Edit your old content and try adding new posts to your site for improved discussions and results. A blog lets maintain your website and reach your community.
Use of Voice Search Is Impressive Voice search is now in demand, and one of the town’s popular buzzwords. Optimize your forex website with conversational keywords, and use the voice search option to attract a wide audience to your forex website.
A strong social interaction is beneficial Social media helps develop a strong online presence among millions of users. Sharing and handling useful content on social media channels could be beneficial in gaining users ‘ interest, as well as increasing the chances of quality connections.
Switch To Bing and Yahoo Too Google may be called the king of the search engine for your respective Forex SEO. However, at the same time, don’t worry about Bing and Yahoo, which are also considered the top search engines that deliver consumers to your forex page and place you on the list.
Analyze Your User Experience Improving user experience is one of the latest industry phenomena. Therefore, you can improve it by giving users reliable access and assistance that can raise your score.
Bitcoin Broker Understand the Benefits of CryptoCurrency Trading
Bitcoin is a cryptocurrency, which can be spent, saved, or invested, and it can be stolen too. Trading with Bitcoins was considered to be risky, but the current trends show that it has become a big hit the binary options sector. This decentralized currency is not regulated by any Government, or by any central authority. What determines the price of Bitcoins? Bitcoin's price is determined according to the supply and demand ratio. Price increases when the demand increases, the rates plummet downwards when the demand falls. Bitcoins in circulation are limited, and new ones are created at a very slow rate. Since it does not have enough cash reserve to move the market price, its price can be extremely volatile. Bitcoin trading is popular because of -
Low inflation risk - Inflation is the biggest issue for traders, because all the currencies lose some of their purchasing power when the reserve banks keep printing more currency. With Bitcoin minting system being limited to just 21 million Bitcoins, it hardly gets impacted with inflation.
Low collapse risk - Currencies fluctuations depend on government trade policies, which at times cause hyperinflation, and even lead to the collapse of currency. Bitcoin is a virtual universal currency, which is not regulated by any government.
Simple, safe and cheap - The Bitcoin payments take place between peer-to-peer without any intermediary, which is why it is simple and cheap.
Easy to carry - Bitcoins worth million dollars can be carried in your pocket, in a memory stick. This cannot be done with gold or cash.
Untraceable - Issuance of Bitcoin is not regulated by any government, so the risk of seizure is nil.
Binary options Bitcoin trading platform bitcoin binary options are getting familiar with popularity of these Bitcoins, and its constant fluctuating values. Therefore they are using this opportunity to offer traders with the latest volatile crypto-currency as an additional payment method. Bitcoin brokers providing crypto-currency as trading option include -
One touch option - Bitcoin trading can be done with AnyOption or one-touch option. For example the current popular currency pair is BTC/USD.
SetOption - The latest option available for asset trading is BITCOIN/USD.
Bitcoin brokers provide a simple trading online platform. All you have to do is visit their website, enter your details, and create an account. You can start with demo account to understand the market action. The trading screen is simple.
Pick the price direction (UP/DOWN)
Select the timeframe
Is Bitcoin trading secure? Bitcoin network is possibly the world's vast spread computing project. The most common weakness here is the user errors. Bitcoin wallet files can get lost, stolen, or deleted accidentally just like any other files in the digital form. However, users can use sound security strategies to protect their cash. Alternatively, you could choose the service providers who offer high-level security, as well as insurance against loss or theft. We provide latest information on Bitcoin brokers and online trading platforms on our website. Please visit our website to check out the broker reviews in order to make the right choices.
People today are always looking for the latest forex market news. There are many great portals and outlets that one may be connected to when looking in the right places. This guide is going to help set investors ahead and make a decent amount of money. Pay attention and take notes to seek the right news available. Forex Brokers Reviews Of course the internet will always be the best place for the latest news. People always log on to the top news sites in order to get up to the minute news and breaking coverage. When it comes to the forex market, the internet is going to have the latest news that is needed to stay in touch and keep making money. A forex professional or broker is also a good resource to turn to. These professionals will usually talk over the phone or chat online for a few minutes at a time to get the latest forex news. Take note of what they say, this way you will always be one step ahead and apply what they say to the investments made. forex broker review Various trading sites will help to extend the online search to get better news. Other traders can speak with other traders online as well as get updates through emails whenever they are at their computer. This helps to make trading more convenient and allows traders to break free of computers for a little while. Fxweekly.com is also going to help extend the right kind of forex trading news. Again, these publications may be found online and they may be sent to a valid email address. Sign up for weekly updates or even quarterly updates to stay in tune and know what is going on with the market at all times. Top Rated Forex Brokers The latest forex market news is always just around the corner. As long as the proper outlets and websites are found, the news is going to be quite useful. Get onboard with the best new outlets today and the best investments will be shown to the right traders. Visit Here -Most Trusted forex brokers
What brings Bitorex Reviews for beginners and experience traders
Bitorex.com Bitorex is the place that offers incredible quality and professional help and guidance with the best customer support for clients on all accounts. Using state of the art technology and a modern approach to establish amazing results. Each decision is based on creating the ideal environment with a positive rapport and relationship, so trust and understanding are witnessed with all professional and expert advice. The team gets to know the clients and we get to know them. Our success is their success, wanting us to succeed. Bitorex ideology and inception was crafted to trade on the most popular marketing platforms. Always on the edge of innovation and striving to be the best and up to date in the trading industry to deliver the highest possible results. Take a look on following videos to acquire more info https://www.youtube.com/watch?v=1fBXVKvujj4 https://www.youtube.com/watch?v=pH-FKJp52lg If you seek to find out how really good then you should visit links bellows from Bitorex reviews made from real clients. Please visit this link on Trustpilot Please visit this link on Sitejabber
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With a vast array of trading assets to choose from it will increase your choices when building a portfolio and allow endless opportunities in the trading world. Strive to attain your goals and dream. They help you get there. By taking advantage of all of the online tools you will be handed with vast knowledge and professional expertise partnered with the potential to invest from cryptocurrencies, forex, stocks, commodities, indices, and much, much more. You can read about Ultimate Bitorex Review for 2020 here.
How much is it to get enroll on Bitorex?
Working with Bitorex and their team is free of charge. That means they make sure that; · Bitorex is completely free · Bitorex offers free registration · Fee-free deposits · Zero Commission accounts Even if you are new to trading and are a novice when it comes to the industry Bitorex is ideal for both the experienced trader and someone who is just starting to learn about the trading world. I am a very experienced trader and when I first signed up to use Bitorex I was impressed with the trading platform and online tools. I also asked a few of my friends who are new to trading to test it out and they found it so easy to use and extremely informative with the educative kit they offer as well as the team support staff. For better help you can read about more help on Steemit community on this link.
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If you choose to open up an account with Bitorex today you just follow these small simple start-up steps to get your account to start trading with 3 minutes. First, fill out the quick online form with a few questions with regards to your trading experience than by using our instant online verification to identity simple and effectively you are then able to fund your account and withdraw money anytime. I have found that Bitorex believes in the highest standards and look to raise the bar every day. The team pledges to deliver the best service they can and use cutting edge technology to find solutions with a team of people who have integrity, impeccable values, and strive to achieve their optimal performance every day. When choosing an online broker you need to find a company that values ethics and transparency to help build trust with clients and global markets. By always putting clients and partners first to deliver the value of money and finding new ways to understand and serve them in this industry.
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Bitorex platform uses many assets that can be traded at the same time which offers major benefits because many trading platforms do not odder these features. You can translate to different languages and use on all devices from your laptop, PC, Tablet, or smartphones. Trading and many options to choose from available to you where ever you are with cross-platform devices. In conclusion, Bitorex is one of my favorite trading platforms when trading cryptocurrency and forex. Bitorex reviews was already featured on BusinessModuleHub and BusinessCaseStudies.co.uk So easy to build experience and user friendly and no fees, unlike its competitors. A massive range of educational resources to enable you to take your trading experience to the next level and see results fast. Bitorex is flawlessly designed and a must for any trader. Get on board today!
The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market
Author: Christian Hsieh, CEO of Tokenomy This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets. The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1. However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.
Demand for U.S. Dollars
Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4. https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6 https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate. https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69 Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions. Source: Bloomberg Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.
The Rise of Crypto Dollars
Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13. https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1 An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.
In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero. J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications. Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19. https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0 These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.
There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation.Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry. There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish. In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world. Thank you. Reference:  How the US dollar became the world’s reserve currency, Investopedia  The dollar is in high demand, prone to dangerous appreciation, The Economist  Dollar dominance in trade and finance, Gita Gopinath  Global trades dependence on dollars, The Economist & IMF working papers  Total credit to non-bank borrowers by currency of denomination, BIS  Biggest stock exchanges in the world, Business Insider  McKinsey Global Private Market Review 2020, McKinsey & Company  Central banks current interest rates, Global Rates  Venezuela hyperinflation hits 10 million percent, CNBC  Lebanon inflation crisis, Reuters  Venezuela cryptocurrency market, Chainalysis  The most used cryptocurrency isn’t Bitcoin, Bloomberg  Trading volume of all crypto assets, coinmarketcap.com  Tether US dollar peg is no longer credible, Forbes  New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk  Remittance Price Worldwide, The World Bank  Interbank Information Network, J.P. Morgan  Jamie Dimon interview, CBS News  Rise of the central bank digital currency, BIS  Speech by Andrew Bailey, 3 September 2020, Bank of England
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