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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.
submitted by crackedminds333 to IndianStreetBets [link] [comments]

APIs offered by brokers and data platforms

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
submitted by theloniusmunch to thewallstreet [link] [comments]

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

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

OlivierDanvel (Olivier Jean Andre Danvel)

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

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

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

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

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

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

OlivierDanvel (Olivier Jean Andre Danvel)

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

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

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

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Immediate Edge Review, Is Immediate Edge SCAM Or Legit Trading App?

Immediate Edge Review, Is Immediate Edge SCAM Or Legit Trading App?

Immediate Edge Review: Is This Crypto Robot Legit or Scam
Immediate Edge Review and investigation 20twenty. The Immediate Edge app is a crypto, forex and choices trading robot utilized by folks to automatically obtain and sell Bitcoin and create profits. Wanting at the website, many people claim it helped them move from rags-to-riches trading Bitcoin. Further, some claims linked it to Ronaldo and Sir Alex Ferguson

https://preview.redd.it/rttn3i4hohm51.jpg?width=1280&format=pjpg&auto=webp&s=8f0dc345c3ace4032d571d44fabe356f13ff1a33
Is Immediate Edge app legit or scam? Whereas the claims of its linkage to the higher than celebrities are unverifiable, we tend to can verify that the app is not a scam and permits individuals to trade Bitcoin using the Fibonacci strategy with ten minutes time frames
The app, that allows people to deposit at least $250 through mastercard and Sofort, scores 88% rate and a 5 stars as a real software
Since there are several scam cryptos, forex and options brokers who trick individuals to depositing money, and then they run away with the funds, we have taken time to review this software to determine if it is real or a scam.
Is Immediate Edge scam or legit
High success rate is reported by users with this software.
The Immediate Edge web site provides truthful claims about the service though it will not mean the crypto trading risks are eliminated with its use.
Customers should start with the minimum investment and increase it when satisfied with the utilization of the app.
Click the link to access Immediate Edge official web site or keep reading to understand more
This software will not seem to be a scam and users report that it helped them make real money trading on it.b site
What is Immediate Edge App?
Immediate Edgecould be a robot or auto-trading software that allows folks to trade forex, crypto and binary choices. A user deploys the algorithm-primarily based bot, which relies on a trading strategy that's automatically executed on a broker trading platform once deployed.
The strategy is coded or set like to permit the user to automatically get and sell crypto, stock or choices on the broker platform at favorable prices, to form profits. It can do automatic market analysis by analyzing a vast amount of knowledge from completely different sources, at intervals seconds and with high accuracy, then use the data to predict the costs. It can then come up with a transparent buy or sell tradable signal and then execute it automatically by shopping for and/or selling on the broker platform.
The software can, therefore, save a trader thousands of manual hours and labor they might have spent analyzing information to form trading choices and to follow the markets and to position and close trades. You conjointly do not want to understand anything concerning crypto, stock or option trading to use this auto trading app, although it is suggested to possess this information to keep improving on trading.
Trading bots will achieve high success rates of more than 90p.c and have been tested to work. You may be searching for Immediate Edge scam but the website can tell you that you can expect to earn between $950 and $a pair of,two hundred per day using the software but that depends on your expertise. As a newbie, you'll not start making that a lot of immediately and conjointly it depends on how a lot of you invest. With an investment of $250, you'll be able to expect to form a lot of lesser although some people claim to own made $12a pair of in a very few hours using this software.
That will not mean Immediate Edge is error-free. There still is a heap of unpredictable high volatility in crypto and bots will make mistakes and errors to create losses. Auto trading robots are better employed in combination with manual trading strategies.

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Immediate Edge Review
How will Immediate Edge work?
All a user has to try and do is join up at the Immediate Edge web site, then deposit funds to have access to the robot, when which they can begin trading by switching on the bot. It will would like no control or intervention from humans, beyond beginning and stopping it.
You additionally need to stay checking, daily, to observe the performance of the software in doing its job and ensure that it is earning any returns needless to say. From there, you can confirm whether or not to extend or decrease your investment towards crypto, options or stock trading using this robot.
You'll be able to also monitor performance to be ready to regulate the trading settings from your dashboard and optimize totally different features of the trading bot for instance set amount of trades or amount to invest in every trade.
Founder of Immediate Edge
In line with the Immediate Edge website, this trading bot was founded by Edwin James. Reportedly, he created billions with forex, crypto, and binary options trading and still shares his strategies on the way to trade the assets on the app.
He founded the app to create it potential for brand spanking new traders to create cash in less than 3 minutes of signing up.
How to sign up on Immediate Edge:
Registration: Registering or signing up on the website is free but to start trading, you want to deposit no less than $250. You discover a registration type on the top right of the page, on that you type in your email, full names and phone numbers and country code. Create a password to be used for logging in later.
Deposit funds: Depositing funds allows you to connect to a robot broker and then you'll begin the bot to start out trading. You'll deposit with Visa, Wire Transfers, Klarna or Skrill. The currencies supported are Swiss Franc, British Pound, US Greenback, and Euro and using a credit or debit card limits deposits to less than $/£/€/?10,00zero in one day and $/£/€/?40,000 in an exceedingly month.
Immediate Edgeisn’t licensed to handle your funds, it works with brokers to handle the cash once it's deposited.
Demo trading: Relying on the broker you're connected to, you can begin to practice trading with the Immediate Edge software. Some brokers do not have this feature on their platforms. Still, with the latter, you can test their options before you deposit cash to try and do live trading. With the demo options, you'll be able to familiarize yourself with the trading house before beginning to use real money to trade.
Trading: Before and when you've got switched on auto-trading, you would like to check the trading settings daily. You'll regulate some things including stop-loss orders and when to try to to them, amount to speculate per trade and how several trades to try to to per day. You'll be able to also choose that cryptocurrencies to trade, and you'll be able to select all the most in style ones together with Bitcoin and Ethereum. You also get to observe the profits/losses and decide if to continue and/or when to prevent.

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Withdrawals, user verification, cost of using the app and alternative options

The payouts or withdrawals are made by filling letter of invitation type on the funds’ management page and it can take two operating days to replicate in your checking account. No fee is charged on withdrawals. You'll withdraw your cash including the capital while not a lot of problem on this app, that is better than several that don't enable withdrawals at any time
While some bots need verifications by asking for your ID and statements, this one will not. You are done once uploading your payment details. The bot charges a commission on profit. Besides, you get twenty fouseven client support on Immediate Edge
Immediate Edge may be a legit, secure, user-friendly trading application for crypto, stocks, and choices. It has a zealous customer service and reports a high success rate. Another smart robot we have recently reviewed is Bitcoin Professional
We tend to hope that this review helped you to make a decision concerning this trading app. Additionally, subscribe to our web site to be invariably notified concerning new software from this industry. For live reviews subscribe to our Youtube Channel or FB Page.

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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
Moving on:
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Convenient.
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.
- Chandra et al. (1989)
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.
Dewey (1978) points out reliability issues with Indian agriculutural statistics, however this calorie decline persists to this day. Some of it is attributed to less food being consumed at home Smith (2015), a lower infectious disease burden Duh & Spears (2016) and diversified diets Vankatesh et al. (2016).
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.
A view echoed in Raychaudhuri (1983):
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 see Rajan 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.
or see Bryant 2000:
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'.

Bibliography

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
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How to Make Profit in Forex Trading: Eight Problems to Avoid

How to Make Profit in Forex Trading: Eight Problems to Avoid

https://preview.redd.it/9fiwhr3in7g51.jpg?width=512&format=pjpg&auto=webp&s=8b015dd89d0db8f7e87c819b1363ccecad041f77
Many people erroneously believed that no one can make profit consistently through forex trading. Often times, they blame others for their losses while forgetting that they are responsible to decide whether their trade ends up in profit or loss.

“Champions never complain, they are too busy getting better”– John Wooden

For those who have the right mindset that they are going to be among the few who make a fortune by making profit consistently in the financial markets; they always take up the challenge to identify the problems and find solutions to improve themselves. They always have the inner drive and determination to find their trading mistakes and fix the problems which will help them to improve and become an expert trader. This positive attitude is very crucial in helping a loser to become a winner in forex trading. If people like Warren Buffet and George Soros can make a good life trading the financial markets, why can’t anyone who is ready to learn, consistently review and improve his/her trading plan, do it better?
From my own personal experience in trading the financial markets, I want to humbly share the following problems and really hope that it will help other traders to trade better and become winners in forex trading.
Although, there may be more, these are the Eight common problems I have encountered and heard many other traders struggle with in their process of making profit consistently in forex trading:
(1) Too early entry (Emotional triggers)
(2) Too late entry (Doubting your analysis)
(3) Too early exit (Panic Take Profit)
(4) Too late exit (Greedy delay)
(5) Holding on to losing trades against the market trend (Stubborn traps)
(6) Using too high lot sizes (Over leveraging your account)
(7) Poor money management (Investing more than 2% of your account balance or equity on one trade)
(8) Poor risk-reward ratio (Having too many open trades running simultaneously)

Steps to diagnose Trading Problems

(1) Check your trades at the end of each trading week; mostly on Saturday or Sunday evenings.
(2) Review your trading log or Account History. Make sure you are very honest and practical with yourself. This is about money. It is better to criticize yourself very hard than to regret losing your hard-earned money due to cheap errors or mistakes.
By honestly following the steps above, you should be able to identify any of the Eight Common problems listed above. This will help you to know which of the problems is most commonly affecting your trading outcome or reducing your profit.
When you have successfully discovered this highly important problem or problems (if more than one), then you can focus on solving them sequentially, starting from the most frequent to the least common as revealed during the review of your trading log or Account history weekly.
It is important that you never stop conducting the weekly review, so as to constantly learn and improve for better trading. Doing this consistently will help you to personally understand your own psychology and problematic behaviours or habits and also see if you are improving or not. With your commitment to this self-improvement process, you will surely become an expert in forex trading and your capacity to make profit consistently will improve significantly. Then you will become a forex winner for life!

“Learn from your losses, and improve your analysis for higher profit”.


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Summary
If you can carefully follow the steps and work towards avoiding the Eight Common problems mentioned above, there is higher chance that you will be able to trade better and achieve more profits in Forex Trading. Most especially when you choose a reliable forex broker like OlympTrade due to their unique and innovative trading platform.
Considering my years of trading experience using the OlympTrade website or mobile App, I sincerely assure you of making consistent profits, if you take personal responsibility by identifying and fixing the Eight Common problems highlighted above. By now, I hope you are more confident that you can make profits consistently and live a good life through forex trading.
Thanks for reading and adding your own comment to this article.
Trade to win!
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With Bitcoin Suddenly Surging, Canaan Stock Is Also Going Up Today

With Bitcoin Suddenly Surging, Canaan Stock Is Also Going Up Today



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We need all users to enroll on our platform to access the Bitcoin Trader platform. The sign up method is easy and solely takes a couple of minutes. You'll be able to forever contact our customer service team if you wish helpour Bitcoin Trader account for our trading robot to position trades on your behalf. We tend to need all users to possess a minimum of $250 in their account before accessing our web trader platform. This quantity is enough to require positions price lots of thousands of dollars when using leverage.

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You do not would like any expertise to trade with the Bitcoin Trader app. We tend to are ninety nine.99percent automatic, that means that live trading involves terribly little manual input. Moreover, we tend to offer comprehensive guides and tutorials to help users set up a live trading account.
ognized by the US Trading Association as the foremost profitable crypto robot in 20twenty. Whereas results rely on market conditions, a number of our traders have seen profits of more than four
What is the minimum deposit withBitcoin freedom
You'll be able to trade with us by depositing just $250. The additional you deposit, the more earning potential you have in a very single day. However, we have a tendency to encourage our users to begi
We have a tendency to are tested and verified by prime trading review sites. Our trading platform is cutting-edge. Moreover, we have a tendency to operate in collaboration with highly reputable brokers. We have a tendency to work absolutely transparently and publish all the data that users need to get started with our trading robot
The Bitcoin Trader trading platform is internet-based mostly and accessible through all major browsers on desktop and mobile. You can also install an HTML5 version of our net-trader on any mobile device. We tend to are coming up with to release native apps for Android and iOS by the top of the year.
Bitcoin Trader is a trading robot powered by cutting-edge AI technology. We have a tendency to have a possible daily return on investment of up to four hundredp.c. We have a tendency to have over five thousand reviews on TrustPilot, and at least 90percent of our reviewers are happy with our platformn
Are there hidden fees with Bitcoin Trader?
Our fees are fully transparent. You can download a listing of trading fees from the platform’s management dashboard. We have a tendency to only charge a little commission on profits earned through our trading robot
We have a tendency to settle for registrations from over a hundred thirty countries across the world. Most of our purchasers are from the UK, the US, some elements of Africa, and Asia. We have a tendency to are on the market in your country if you can access our Bitcoin Trader website while not employing a VPN.

We aim to assist normal people reap important returns from cryptocurrency trading. With us, you get exposure to over forty five Bitcoin contracts for variations (CFDs). Common crypto pairs you'll trade with us embrace BTC/USD, BTC/GBP, BTC/EUR, and BTC/XRP.

1) Register: Registering with the Bitcoin Trader app is straightforward. Scroll to the high of this page and submit the specified details through the registration kind.

We require users to verify your phone range and email, since this is often what you'll use for multi-factor authentication. Yet, our partner brokers verify the identity of all users per regulators’ understand your customer (KYC) requirements.

a pair of) eposit: You wish to deposit a minimum of $250 US to trade with the Bitcoin Trader software. We tend to depend on our partner brokers to facilitate transactions, and all of our partners are absolutely regulated by government authorities. With regulated brokers, you'll rest simple knowing that your funds are safe.
You'll fund your account through wire transfer, MoneyGram, Western Union, FasaPay, Visa, MasterCard, Neteller, WebMoney, and Skrill.


three) Trading Education and Demo: We have a tendency to are an auto-trading robot, however we have a tendency to do enable our users some level of management, especially when it comes to risk management. Consequently, our Bitcoin Trader official website encourages you to travel through our trading education section to familiarize yourself with the chance management process.
Our highly intuitive demo platform ought to additionally facilitate your observe trading with the robot before you begin trading during a live account Bitcoin Freedom

The platform needs that you just define the trading conditions for the robot and activate the live trading session button. We have a tendency to encourage you to depart the robot running throughout the day within the background. You'll be able to let it run unmonitored for up to eight hour
We tend to have recently been nominated as the most profitable robot for BTC trading in 20twenty. Moreover, we are one of the trading robots that has been extensively covered by mainstream media. Bitcoin Trader has thousands of reviews on client feedback platforms
Bitcoin Trader was one amongst the primary robots to use high-frequency trading techniques to BTC trading. The robot was founded in 2015, nearly two years before the crypto boom in 2017.
Bitcoin Trader uses AI and ML to create sense of big knowledge, which allows it to trade with high accuracy.
Our trading platform became an on-line sensation in mid-2017, and it has maintained its popularity since then. Bitcoin Trader is the simplest possibility for many beginner and experienced traders.
Bitcoin Trader allows you to earn a daily profit of up to $1,00zero by investing simply $250. That’s a potential return on investment of up to four hundredpercent.
Do celebrities recommend the Bitcoin trader software?

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We tend to are highly widespread and hence a prime target for celebrity gossip. There are viral rumours that we have a tendency to have been endorsed by Elon Musk, Richard Branson, and Jeff Bezos.

Elon Musk – The founder of SpaceX has invested in Bitcoin and expressed interest in artificial intelligence, however he has not invested employing a trading robot.
Richard Brandson – Branson is another celebrity alleged to own invested using Bitcoin Trader. While it's true that he loves Bitcoin and blockchain technology, he hasn’t endorsed any trading robot.
Jezz Bezos – Bezos is also a big fan of emerging technologies, however he hasn’t shown any interest in BTC trading through revolutionary robots like Bitcoin Trader.

You ought to never build an investment decision based mostly on whether or not a star has endorsed or invested in it. Bitcoin Trader has been tested and licensed by specialists.

The verdict about Bitcoin Trader
We tend to are a prime-rated crypto trading robot with nice reviews on sites like TrustPilot and ForexPeaceArmy. Moreover, we have been recognized as legit and profitable by authoritative bodies like the US Trading Association.

We have a tendency to are always striving to offer the most effective to our users by regularly improving our trading platform. Our team of experts analyzes feedback from users to work out what features will create a a lot of seamless trading experience. We tend to operate in complete transparency, having partnered with some of the world’s most reputable brokers.

Our platforms are encrypted to shield you from hackers. Furthermore, we tend to also adhere to information privacy measures, like the General Information Protection Regulation (GDPR). Try out Bitcoin Trader currently through the link at the high right corner of this page.
perior over different cryptocurrencies?
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PRESS RELEASEWhy is Bitcoin superior over different cryptocurrencies?Akshay KSPublished a pair of weeks agoon August 12, 2020By Akshay KS
Source: Pixabay
During this technical world, bitcoin is the foremost used digital currency all over the world. However the main question then arises within the minds of the many folks is why bitcoin is considered the foremost superior over other cryptocurrenc Bitcoin Freedom
Bitcoin is that the one method of creating transactions daily as alternative currencies. But it's its options and uniqueness that make it superior. Bitcoin and different currencies are based mostly on the cryptographic algorithms or mathematics that are encrypted, with that the user becomes the owner of the currency. Bitcoin currencies are easily accessible at Bitcoin ATM and online exchange
The main feature of the bitcoin, which makes it superior is that it is the safest option for digital transactions. These will be used for on-line searching and transfer of money too.
There are many alternative blessings to using bitcoin. A number of them are mentioned below
Decentralized and digital
Bitcoin offers the freedom of exchanging the price without representatives that proves helpful in controlling the lower fees and high funds. Bitcoin is that the faster method of transaction than others. It is secure as it is free from theft and frauds and is constant. The main advantage is that bitcoin has its homeowners whereas the bank controls the money.
Makes online looking
Normally, bitcoin will be used for on-line shopping too. Bitcoin is the opposite face of e-wallet, that is created by blockchain technology that is used to store money and will easily pay everywhere digitally. For this reason, it also makes your searching easy by which you'll be able to look from your home solely

Bitcoin is accepted globally at each corner of the planet, which makes it less volatile than local currencies or cash. This feature makes it superior because it enables us to form transactions on-line and across the boundaries
Bitcoin unable the means of tracking cash

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Bitcoin is created by blockchain technology. Blockchain is the sole technology which will either make it or break it. There are many computers which are used to keep up a permanent record of each bitcoin transactions with the help of cryptographic technique. In this approach, it becomes a lot of valuable together with the tracking of the payment. At the same time, there's no method of tracking the cash

While not any transformation method, it will be used over the entire world. It provides the simplest platform for the investment as it is free from the restrictions of governments or banks. It provides an open market and combines the simplest of gold and money.

Bitcoin provides the power to access the balance of the users with a password which is named a personal key. It additionally permits the exchange of values through the web without any middle person. Thus, bitcoin becomes safer, stuffed with privacy, and open to everyone
Unlike cash, it is not possible to form the duplicate quite bitcoin that makes it more efficient. It's protected with the technology of blockchain. Even if anyone tries to form a replica of bitcoin to use it, then the system will automatically reject it as the system recognize it as unknown

Bitcoin Freedom failed to allow two persons to transact on the one price. Once the bitcoin is transferred, its possession is also transferred. So this is the simple approach of maintaining records for any tax functions. It conjointly makes it a easy and healthier metho

Bitcoin is the foremost reliable manner of online transactions. Many questions arise in folks’s minds that are solved on websites like bitcoin revolution. One in all them was the above-mentioned question. Bitcoin provides many facilities, and it comes with more and a lot of blessings which makes it distinctive and special over different cryptocurrencies. It can be preferred as the simplest digital platform for transac


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Disclaimer: AMBCrypto US and UK Market's content is informational in nature and is not meant to be investment advice. Buying, trading or selling crypto-currencies ought to be considered a high-risk investment and every reader is advised to do their due diligence before making any decisions.
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Sign up with Bitcoin Trader nowadays to start out earning potentially thousands of greenbacks in profits daily from an initial investment of just $250. We tend to are a high-rated automated trading robot that's accessible and easy for all to use. By trading with Bitcoin Trader, you'll start generating a lot of investment income than ever beforeBitcoin Freedom

“After simply some months trading with Bitcoin Trader, I’ve made a lot of than $ten,00zero and finally understand what it’s like to measure the dream. I’m saving up my profits to quit my job and spend a year traveling.”

“I’ve been a member of Bitcoin Trader for only 47 days. But my life has already modified! Not solely have I created my 1st $1,000, however I’ve also met a number of the most incredible folks in the process. Thanks, Bitcoin Trader!”

“I used to speculate on my own, but now that I’ve used Bitcoin Trader I would never return to my recent broker. Bitcoin Trader takes manner less work and that i’ve already created thousands of greenbacks in profits in simply a few months.
“Two weeks ago, I got laid off. With no choices left, I thought my life was over. Now I’m making a lot of cash than I made at my job every and each day. Thanks, Bitcoin Trader!”

With the Bitcoin Trader software, you can probably build up to $one,500 daily from a deposit of $250. We tend to are powered by artificial intelligence technology to confirm that you just get a win rate of more than 98p.c under the right market conditions. The US Trading Association has nominated our Bitcoin Trader as the most profitable crypto trading robot on the market.
We have invested in the globe’s best trading technologies. These include the factitious intelligence subsets of natural language processing, deep learning, and machine learning. Bitcin Trader depends on these technologies to derive insights from huge data and market news.
The Bitcoin Trader app has won nearly fifteen coveted awards since launching in 2016. These include the most Profitable Robot 2020 award by the American Trading Association, the simplest Robot in Trading Technologies 2019 award, and the most Profitable Crypto Robot in 2018 Award. We have a tendency to price our customers and are contin
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