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Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Tronrewards.net - Earn 1.5% daily (300% ROI) - Tron Smart Contracts

Dapp Link: https://tronrewards.net/en/refeTKaXKq6yZWSLSFZsPXnP5DtXTUf1AsGq2p
The TRONREWARDS Smart Contract is designed to provide everyone with an independent, financial support fund, based on Blockchain and Smart Contract technology.
Any participant can contribute TRX towards the community fund and supporting TRXER CHAIN community members, by doing so the participant activates the contract code and will receive support back from other community members.
TRONREWARDS is 100% decentralized and a community-based project; Meaning there are no guarantee nor additional profits made in the system, all that you receive from TRONREWARDS is based upon your own and the community efforts as this is a P2P support model where you support others and others support you.
TRONREWARDS can be viewed as a decentralized “third party” which insures fairness, transparency and justice for all according to the algorithm code.
It is the most reasonable, safest, and best cutting-edge financial SUPPORT model available at this time.
You can participate in TRONREWARDS by depositing a minimum of 0.1 TRX to the Fund.
300% is returned in 4 ways (1 passive and 3 via marketing) when 300% is accumulated through any of the 4 ways, a new deposit must be made equal or greater to continue receiving from the fund.
Referrals:
1 new level is activated for each direct partner, maximum 15 levels, see below
Daily Top Referrer Pool 5%, of ALL Deposits set aside in pool, every 24 hour 10% of the pool is shared among top 4 sponsors in volume
Minimum and maximum cycle limits:
IMPORTANT NOTES\*
Source: https://reviewparking.com/tronrewards.net/
Other Links: Top Paying HYIP | Top Cloud Mining | Top Forex | Top Paid To Click | Top Crypto Faucets
submitted by reviewparkingdotcom to HYIP [link] [comments]

Trading Educators. If you're new how you should see them & why their students defend them even if they're not profitable

As the smart people in trading communities know; Most educators are frauds there's always a narrative that they're experts in the business but they're never track records (third party verified) or live trading statements to back it up.
There whole model is to create conflict of interests with the trader to shill courses, services and '70% accurate signals' and even recommend brokers for commission using Introducing Broker agreements or Affiliate links.
If you're new to trading regardless of the asset class i'd view whoever wants to teach you whether you pay for it or not as a business teacher; They have no success in business (The Majority) But they're legally able to teach the theory regarding business...

Why people back gurus up:
#1 They feel like they're in an elite community lead by success; sadly newbies are often mislead
#2 They buy courses/services and they feel like they have learn't something such as basic risk management, price action, support and resistance etc, wyckoff theory, all which can be found online.
#3 When their victims fail they often blame themeselves because so many of their students back their favourite traders no matter the scrutinity/evidence.
#4 Their students sign NDAs with the Trader before getting access to Trading groups & Materials so if they discuss anything or they will get punished (Inner Circle Trader ICT) Is a fake forex trader who does this practice.
#5 The person defends the guru for not selling anything although he has affiliate links, promotes people or something else such as brokers or prop firms...

Example of a poor brainwashed forex trader:
I watch raja lives (Wicksdontlie)
If uncle ted is there n dropping knowledge I soak it up
U literally can’t say rajas faking it bc it’s all there the trades he takes what he loves off of
Anything can be faked especially in the forex industry just look at my recent posts on daytrading or forex and you'll see.

Don't fall for these 'Educators' who need you to buy there courses for 100s to thousands of dollars and sell signals for a subscriptions if you do the numbers you'll find out for yourself their incentive:
YT channel 40000 subscribers sells a $500 course assuming 2% of his audience buys his course 800 people that's 800*500 that's $400000 easily made and completely passive many offer additional services such as signals and more for a fixed subscription ex. $25 a month if 2% of his audience subscribes to it that's 800*25 that's s cool $20000 a month and yes they may get less than a 2% conversion rate but 2-3% is average and even if 1% participate that person makes alot of money very easily...
submitted by HelpfulTear to Daytrading [link] [comments]

List of 110+ Free Udemy & Popular Discounted : ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More

ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More
Source: Freebies Global - https://freebiesglobal.com/
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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Trading Educators. If you're new how you should see them & why their students defend them even if they're not profitable

As the smart people in trading communities know; Most educators are frauds there's always a narrative that they're experts in the business but they're never track records (third party verified) or live trading statements to back it up.
There whole model is to create conflict of interests with the trader to shill courses, services and '70% accurate signals' and even recommend brokers for commission using Introducing Broker agreements or Affiliate links.
If you're new to trading regardless of the asset class i'd view whoever wants to teach you whether you pay for it or not as a business teacher; They have no success in business (The Majority) But they're legally able to teach the theory regarding business...

Why people back gurus up:
#1 They feel like they're in an elite community lead by success; sadly newbies are often mislead
#2 They buy courses/services and they feel like they have learn't something such as basic risk management, price action, support and resistance etc, wyckoff theory, all which can be found online.
#3 When their victims fail they often blame themeselves because so many of their students back their favourite traders no matter the scrutinity/evidence.
#4 Their students sign NDAs (Non Disclosure Agreements) with the Trader before getting access to Trading groups & Materials so if they discuss anything or they will get punished (Inner Circle Trader ICT) Is a fake forex trader who does this practice.
#5 The person defends the guru for not selling anything although he has affiliate links, promotes people or something else such as brokers or prop firms...

Example of a poor brainwashed forex trader:
I watch raja lives (Wicksdontlie)
If uncle ted is there n dropping knowledge I soak it up
U literally can’t say rajas faking it bc it’s all there the trades he takes what he loves off of
Anything can be faked especially in the forex industry just look at my recent posts on daytrading or forex and you'll see.

Don't fall for these 'Educators' who need you to buy there courses for 100s to thousands of dollars and sell signals for a subscriptions if you do the numbers you'll find out for yourself their incentive:
YT channel 40000 subscribers sells a $500 course assuming 2% of his audience buys his course 800 people that's 800*500 that's $400000 easily made and completely passive many offer additional services such as signals and more for a fixed subscription ex. $25 a month if 2% of his audience subscribes to it that's 800*25 that's s cool $20000 a month and yes they may get less than a 2% conversion rate but 2-3% is average and even if 1% participate that person makes a lot of money very easily...
submitted by HelpfulTear to Forex [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

6 Price Action Retracement Entry Types You Need To Know

You've presumably heard "retracement" or "follow" much of the time in case you're keen on exchanging the monetary business sectors. Be that as it may, do you really understand what value retracements are, the reason they're so significant and how to appropriately exploit them? Maybe not, yet regardless of whether you do, the present exercise will reveal new insight into how to use these incredibly amazing business sector occasions…
A retracement in a market is a pretty simple idea to characterize and comprehend. Basically, it's actually what it seems like: a period when cost remembers back on an ongoing move, either up or down. Consider "remembering your means"; returning a similar way you came. It's fundamentally an inversion of an ongoing value move.
For what reason are retracements significant? For various reasons: They are occasions to enter the market at a "superior value", they take into account ideal stop misfortune arrangement, improved danger prize and then some. A remember passage is more traditionalist than a "market section" for instance and is viewed as a "more secure" passage type. Eventually, the objective of a dealer is get the best passage cost and oversee hazard on a par with conceivable while additionally expanding restores; the retracement section is a device that permits you to do every one of the three of these things.
This exercise will cover all parts of exchanging retracements and will assist you with understanding them better and put them to use to ideally improve your general exchanging execution.
Presently, how about we examine a portion of the Pros and Cons of retracement exchanging before we take a gander at some model graphs…
Professionals of Retracement Trading
We should discuss a portion of the many "Geniuses" of retracement exchanging. Frankly, retracement exchanging is fundamentally how you exchange like an expert rifleman, which, on the off chance that you've followed me for any timeframe, you know is my favored strategy for exchanging.
Higher Probability Entries – The very idea of a draw back or backtrack implies that cost is probably going to keep moving toward the underlying move when the follow closes. Henceforth, on the off chance that you see a solid value activity signal at a level after a retracement, it's high-likelihood passage since all signs are highlighting value bobbing starting there. Presently, it doesn't generally occur, however hanging tight for a remember to a level with a sign, is the most elevated likelihood way you can exchange. Markets pivot back to the "signify" or "normal" cost again and again; this is clear by taking a gander at any value outline for a couple of moments. Along these lines, when you see this revolution or backtrack occur, begin searching for a section point there in light of the fact that it's a lot higher-likelihood passage point than just entering "at market" like most brokers do.
Less Premature Stop-Outs – A retracement permits greater adaptability with stop misfortune arrangement. Essentially, in that you can put the prevent further away from any territory on the diagram that is probably going to be hit (if the exchange you're taking is to exercise by any stretch of the imagination). Setting prevents further away from key levels or moving midpoints or further away from a pin bar high or low for instance, gives the exchange a higher possibility of working out.
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Better Risk Rewards – Retracement passages hypothetically permit you to put a "more tight" stop misfortune on an exchange since you're entering more like a key level or you're entering at a pin bar half level on an exchange section stunt passage for instance. In this way, should you decide to do as such, you can put a stop a lot nearer than if you entered an exchange that didn't occur after a follow or on the off chance that you entered a pin bar exchange at the high or low of the pin, for instance. Model: a 100 pip stop and 200 pip target can undoubtedly turn into a 50 pip stop and 250 pip focus on a follow passage. Note: you don't have to put a more tight stop, it's discretionary, however the choice IS There on a backtrack section in the event that you need it. The other option, utilizing a standard width stop has the benefit of diminishing the odds of an untimely stop out.
A danger prize can likewise be somewhat expanded regardless of whether you utilize a standard stop misfortune, rather than a "more tight one". Model: a 100 pip stop and a 200 pip target can without much of a stretch become a 100 pip stop and a 250 pip target. Why? This is on the grounds that a remember passage lets you enter the market when it has "more space" to run toward you, because of the way that cost has pulled back and it consequently has more separation to move before it follows again when contrasted with in the event that you entered at a "more awful cost" further up or down.
Cons of Retracement Trading
Obviously I will be straightforward with you and told you a portion of the "cons" of retracement exchanging, there are a not many that you ought to know about. Notwithstanding, this doesn't mean you shouldn't attempt to learn retracement exchanging and add it to your exchanging "tool stash", in light of the fact that the geniuses FAR exceed the cons.
More Missed Trades: Good exchanges will "move away" now and then when hanging tight for a retracement that doesn't occur, for instance. This can test your nerves and exchanging attitude and will bother even the best dealers. In any case, trust me, passing up exchanges isn't the most exceedingly terrible thing on the planet and it's smarter to pass up certain exchanges than to over-exchange, that is without a doubt.
Less Trades in General – A great deal of the time, advertises just don't remember enough to trigger the more moderate passage that returns with a force. All things being equal, they may simply prop up with insignificant retracements. This implies you will have less opportunities to exchange by and large when contrasted with somebody who isn't essentially hanging tight for follows.
Because of the over two focuses, retracement exchanging can be disappointing and takes unimaginable order. In any case, in the event that you build up this order you'll be WELL in front of the majority of losing dealers thus retracement exchanging can assist you with building up the control you should need to prevail at exchanging regardless of what passage technique you wind up utilizing.
Retracements Provide Flexibility in Stop Loss Placements
Setting your stop misfortune at some unacceptable point can get you taken out of an exchange rashly, that you in any case were spot on. By figuring out how to sit tight for market pull backs or retracements, you won't just enter the market at a higher-likelihood point, however you'll likewise have the option to put your stop misfortune at a lot more secure point on the diagram.
Regularly, dealers get debilitate in light of the fact that they get halted out of an exchange that actually they were spot on. Putting a stop misfortune at some unacceptable point on a diagram can get you removed from an exchange before the market truly gets an opportunity to get moving toward you. A retracement presents a clever answer for this issue by permitting you to put a more secure and more extensive stop misfortune on an exchange, giving you a superior possibility at bringing in cash on that exchange.
At the point when a market follows or pulls back, particularly inside a moving business sector, it is giving you an occasion to put your stop misfortune at a point on the outline that is significantly more averse to take you out of an exchange. Since most remembers occur into help or opposition levels, you can put the stop misfortune further past that level (more secure) which is fundamentally less inclined to be hit than if it was nearer to the level. Utilizing what I call a "standard" stop misfortune (not a tight one) in this case will give you the most obvious opportunity at keeping away from an untimely take out of an exchange.
submitted by LondonForex to u/LondonForex [link] [comments]

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Advantages Of Sharing Economy

Advantages Of Sharing Economy
https://preview.redd.it/10x1ooew6lx51.png?width=1252&format=png&auto=webp&s=bec4581754a555da1a61510c2e23f0a88cab21da
Professional economists have long since realized that renting is better than buying. A few years ago it became apparent to the regular consumer. Amid the phenomenal success of such services as Airbnb and Uber, people started talking about “uberizing” consumption. Unbridled consumerism is replaced with conscious consumption, and the new economic model fits the value system in the best way possible.
Sharing has a number of obvious advantages:
• flexibility; • independence; • financial benefit; • careful attitude towards resources; • mutual trust.
TimeCoinProtocol is making the sharing economy even more accessible and transparent for users! If you want to support the project that will invariably change our future — don’t forget that on the 11th of November 2020 the project launches the IEO on BitForex.
https://www.timecoinprotocol.com/
submitted by TimeCoin_Protocol to u/TimeCoin_Protocol [link] [comments]

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Indian sugar industry’s major player Nirani Group projects going forward as a bio-energy company with sugar a by-product

Indian sugar industry’s major player Nirani Group is looking to evolve beyond the traditional sugar business model and expand further as it targets new long-term supply deals for the ethanol, leaving sugar as a by product. The company's Managing Director - Mr. Vijay Nirani told ChiniMandi News in an interview.
Speaking on his assessment on the sugar season in terms of sugar production, exports and profitability he said, “With a very good monsoon this year, Karnataka is set to see a record breaking crushing season this year. The district of Bagalkot itself has forecasted a crushing of 14 million Mt, which is the highest ever. This year is an opportunity to crush with high efficiency and try and make it even with the preceding 3 bad seasons where we had to face huge natural calamities like droughts and flash floods. The high crushing that is forecasted is not all merry, as there will be a huge gap between demand and supply as there is going to excess production of sugar, it is going to be a challenge in itself this year to get a good realisation for sugar.
With speculations from the Government of India, that they may not consider giving subsidy for exports, it will only multiply the challenges in hand. Though mills in the state and the country have a great chance to make up for the accumulated losses in the past, with good availability of quality cane, the millers are all set to exhibit their talents by ensuring high efficiency crushing with maximum value additions, the true crux of profitability lies with the sugar market dynamics, the Govt. has to ensure proper regulation to make sure the mills get a fair share in order to ensure timely and proper payments to farmers who are already in great distress due to continued draught, flash floods and now the spread of this deadly pandemic of COVID-19.
On being asked how he sees the prices of sugar in Karnataka State considering the aftermath of Covid-19 and no announcement of hike in MSP Nirani said, “It is definitely going to be a great challenge to get a proper realisation for sugar though there is an Minimum Selling Price (MSP), if we look at the pretext of MSP being set at ₹3100 is itself not a thorough price, in order to bridge the cost gap between FRP to MSP the MSP has to be revised to ₹3500. Since sugar being an essential commodity there is not going to be a huge drop in consumption by any means at the same time we know there is already carried forward stock from the last season and the production this year is going to be massive by all measures and the consumption of sugar is not going to increase all of a sudden. This is definitely going to directly impact the price, the symptoms have already begun, the rates are already in a downward trajectory.”
Sharing views about the growth prospect in Karnataka state for the sugar industry he shared, “It is definitely going to be value addition and ensuring zero wastage, we need to ensure there is a proper backward and a forward integration for all the mass that is being generated or put into use in the mills.”
“The major advantages that the sugar industries have are yet untapped by many, with just sugar cane as a raw material, we can generate - Sugar, jaggery powder, jaggery cakes, sugar syrup, icing sugar, Electricity, Pulp from Bagasse, furniture from bagasse, biodegradable products from bagasse, CNG and Bio gases, bio fuels, chemicals, ENA, Ethanol the list goes on. The key to sustain is to add value to every product, rather create products of value and not just depend on sugar as a product.” He further added.
Over the couple of years, Nirani Group has been widening its wings in the business of sugar, answering whether there are any further plans on expansion in capacity and beyond Karnataka Nirani said, “We started off about 2 decades ago as the smallest industry in the country with a crushing capacity of 500 mT per day, but now stand tall with a consolidated crushing capacity of 60,000mT with 230 MW of Co-Generation and with allied integration spread across 6 mills. We have understood the weight that the sector carries and envision the thousands of lives that each of our mills have an effect on. We have been turning around sick units in the state, like Kedarnath Sugars and Agro, Badami Sugars Ltd, Pandavapura SSk, Sreerama Sugars SSK, SPR sugars, these were all closed/distressed units that we took over and are being run professionally and successfully, directly helping out all the families that were associated with those mills by means of employment, by crushing farmers cane in time, by creating many unorganised businesses around the campuses and creating revenue for the state and the country.
Coming towards, how we at Nirani Group are taking measures to step up for the Ethanol Blending Programme (EBP); our chairman Shri Murugesh R Nirani ji was one of the pioneers of this EBP programme, he being a close associate in the govt and decision making, had key impact in developing of this scheme. As a group we already have a production capacity of 650 KLPD and are in an advanced stage of expanding the capacities to over 1000 KLPD by December of 2021.
The EBP program has truly been a blessing not just for the health of the sugar industry but also achieves major goals like, reducing crude imports, directly benefiting our FOREX and addressing major ecological crises.
We were one of the first in the state to divert sugarcane juice to Ethanol, during the previous crushing season 19-20, we have produced close to 16 Million litres of Ethanol from Sugarcane juice/Syrup.
Going forward also we have all the plans to divert maximum of sugar into producing Ethanol we estimate a production of close to 96 Million liters of Ethanol purely from Sugarcane juice/syrup, the decision to allow Sugar cane juice/Syrup/B-heavy molasses for Ethanol and giving attractive incentives have been a landmark policy in the country for Sugar Sector.
On being asked, what long term policies should be announced by the Govt. for the sugar industry to develop he said, “The Govt. should first eliminate the EBP hinges, like allowing for OMCs to enter into a 5 year supply contract and bringing in 2nd round of Interest subvention scheme, the GOI has already addressed a big crux, the enhancement of rate for ethanol by 3 odd rupees is an icing on the cake.
The key policy that is thoroughly in need is the revision in MSP to ₹3500 at least, this is no way going to burden the average consumer as shelling out ₹3 to 5 more on sugar is not a huge impact for them, as compared to the benefits that this decision would bring, timely and prompt payments to farmers and sustainability of the mills.
“Also to address the challenge of excess supply of sugar in the country the GOI usually gives export subsidy, which is usually released after a lot of scrutiny and delays, instead they should allow for this excess sugar to be diverted to ethanol so that the cash cycle is quicker and we address the demand that is there for ethanol. This diversion of excess sugar to Ethanol can be considered as deemed export and the same benefit can be given to the sugar mills that adopt this mechanism.
To address the issue of excess production the GOI should increase the radial distance between the plants from the existing 15 Kms to atlest 35 Kms.” Nirani added.
https://storage.googleapis.com/stateless-chinimandi-com/2020/11/8b27b37c-indian-sugar-industry’s.dom\_.eng\_.02.11.2020.08.58.mp3
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