Hi all, new to Forex.
I have $500 I want to learn with. I already have a demo account with TradeKings. I started with their shitty Java platform but have since liquidated that account, moved to MT4. I love the platform but TradeKing's customer service is absolutely appalling so I want to move brokers.
Any ideas on a broker that will take

• $500 to start
• Has great customer service
• Hooks into the MT4 API
• Has tight spreads OR
• Has decent commision

I was paying at a minimum .30c round trip on my trades at TradeKing forex. With only $500 to start that's taking health chunks out of my trading, especially when I have to set my stops @ 50 pips and it may not make for a decent trade.
Any questions?

When TradeKing / GAIN Capital acquired MBTrading, they seemed to insist in that the customers were going to have a better service -with better spreads, et cetera. I don't think anybody that had dealt with Forex.com or TradeKing Forex believed that claim, but they insisted with that mantra.
Before the account transfer happened -as I was foreseeing hating TradeKing Forex from my previous experience with forex.com- I did withdraw most of the money from the account.
After a few days seeing how the spreads and the overall conditions were leaving me far less satisfied than MBtrading, I decided to withdraw the rest of the money.
TradeKing now charged me $25 in bank fees, for a bank transfer that MBtrading always did for free. So much for "better service". It's sad that MBTrading was acquired and I am mad at TradeKing and their generally shitty service.
Now, I am asking for them to reimburse me those $25. I won't lose much sleep with it... but it's a matter of principle!
Anyway, I just wanted to vent and tell you my opinion on TradeKing Forex, hoping it might somehow help...

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.

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
​
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
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:
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%
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.
P/E has declined in the past 2 years, making it a great time to buy.
Increasing ROE despite lowering of leverage post 2016
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.
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.

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
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
​
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:
​
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%
​
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.
​
P/E has declined in the past 2 years, making it a great time to buy.
​
Increasing ROE despite lowering of leverage post 2016
​
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.
​
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.

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49. Peter Parks – Social Ads For FB Marketing
50. Chris Winters – F.A.M. Facebook Agency Machine
51. Freedom Junkies – Crushing Facebook Ads
52. FB Ads Machine 2.0 – Dan DaSilva, Mike Dolev

FILMMAKE/VIDEO courses

53. Parker Walbeck – Full Time Filmmaker
54. Parker Walbeck – Course Creator Pro $ (only on request)
55. Werner Herzog – Teaches Filmmaking
56. Eric Thayne – Six Figure Filmmaker
57. Hollywood Camera Work – The Master Course
58. Bimber – Viral Magazine, Video, News WordPress Theme (DOWNLOAD)
59. Christopher Perilli – The Video Authority
60. Max Rylski – Video Graphics Bonanza V2
61. Video Motion Pro | The New Way to Create Highly Profitable Videos and Info Products Quickly and Easily
62. Ryan Deiss – Script a High Converting Video Sales Letter
63. First Page Videos – Brian Dean
64. Video Series AWE18 Replay
65. Zamurai Video Immersion
66. Ben Adkins – Clients From Video
67. Video Breakthrough Academy – Clark Kegley
68. Perfect Pitch Videos
69. How to Create Video Tutorials and Perform on Camera
70. Video Ads Traffic
71. 10X Your Conversion With a Video Landing Page

DROPSHIPPING courses

72. Scott Hilse – Simplified Dropshipping 3.0
73. SIMPLIFIED SHOPIFY DROPSHIPPING – SCOTT HILSE
74. ANTON KRALY – DROPSHIP LIFESTYLE 6.0
75. ANTON KRALY – DROPSHIP LIFESTYLE 5.0
76. Anton Kraly - Dropship Lifestyle
77. Biaheza's Full Dropshipping Course(for download)
78. Andrei Kreicbergs – eBay Dropshipping Coaching 2.0
79. Adam Thomas – Dropshipping Accelerator 2018
80. Hayden Bowles – Hacking Shopify Dropshipping
81. Paul Joseph – Dropshipping Titans
82. Kevin David – Shopify Dropshipping Ninja MasterClass
83. Online Auction Flipping (eBay dropshipping guide)
84. Dropshipping with Aliexpress Build and Launch your Store
85. Dream Dropshipping – Online Empire Academy(for download)
86. Advanced Dropshipping Class Till Boadella
87. Online Empire Academy – Dream Dropshipping – Value $997

EBAY and AMAZON courses

88. Beau Crabill – Full eBay Course
89. Roger & Barry – eBay Underground Sales
90. Online Auction Flipping (eBay dropshipping guide)
91. Andrei Kreicbergs – Ebay Dropshipping Coaching Course
92. Simon Charlton – eBay To Amazon Arbitrage Guide
93. eBay Powerseller academy: comprehensive in depth study
94. eBay for newbies: learn the basics to start selling on eBay
95. [Download] “The eCominomics Blueprint” – Resell on eBay/Amazon for PENNIES on the dollar
96. eBay: Make Money Flipping Cars On eBay
97. [Download] Ebay’s Quick Cash-Out 2.0
98. [Download] eBay Sellers Ultimate Bootcamp Double Your Profits
99. eBay Partner Network: Create Affiliate​ Home Business Fast
100. Cold Email Kings – The Exact COLD Email Sequence to Ultimately Partner with Amazon
101. Dan Meadors – The Amazon Wholesale Formula 2019
102. Michelle Barnum Smith – Amazon Messenger
103. Youngjoon Sun – Amazon FBA Mastermind
104. Matthew Gambrell – Amazon Assassin Drop Shipping Course
105. Augustas Kligys – European Amazon Summit
106. Get Seller Tradecraft – Amazon Playbook
107. Andrew Minalto – Amazon Sharks
108. Jordan Kilburn – Amazon Millionaire Mentorship Program
109. Philip A. Covington – The Ultimate Amazon Seller
110. Todd Snively, Chris Keef – Ecomm Elite Wholesale Amazon
111. Kale and Taylor – Nine University 2.0
LINKEDIN courses
112. Justin Welsh – The LinkedIn Playbook
113. Jimmy Coleman – LinkedIn Lead Challenge
114. Mike Cooch – LinkedIn Advertising Bootcamp
115. NATASHA VILASECA – LINKEDIN UNLEASHED
116. GROWING YOUR SMALL BUSINESS WITH LINKEDIN
117. LINKEDIN INCUBATOR – LIAM AUSTIN

TRADING courses

118. Stock Options Day Trading Mindset For Success
119. Wiseguys Revealed: Modern Flow Trading
120. ABS – Reese Shapiro – Binary Option Money Making Private Method
121. CF X UNIVERSITY – CARTER FX 2.0
122. TradeSmart College – Bollinger Bands Necessities
123. WARRIOR PRO TRADING COURSE
124. MAFIA TRADING – MINDSET TRADER DAY TRADING COURSE
125. TradeSmart College – Buying and selling Plans
126. STOCK TRADING SIMPLIFIED: THE COMPLETE GUIDE FOR BEGINNERS
127. FX CARTEL TRADING COURSE
128. INVESTOPEDIA ACADEMY BY DAVID GREEN
129. GREG CAPRA – PRISTINE STOCK TRADING METHOD(for download)
130. ADVANCE STOCK TRADING (SHORT TERM, SWING AND LONG TERM)
131. The Complete Trading Course – Price Patterns, Strategies, Setups, And Execution Tactics By Corey Rosenbloom
132. Cryptocurrency Trading And Ico Investment Masterclass 2018 | Blockchain
133. ROCKY DARIUS – Crypto Trading Mastery Course
134. The Trading Boss Method 1 And 2
135. RASHAD SMITH – 7 Figures Forex Course
136. The Forex Scalper Mentorship Package(for download)
137. PIPS UNIVERSITY – The Only Forex Course You Will Ever Need(For Download)
138. URBAN FOREX – Mastering Price Action
139. ATLAS FOREX – FOREX COURSE
140. FOREVER BLUE – FOREX COURSE
141. ANGEL TRADERS FOREX STRATEGY COURSE
142. MAKE MONEY WORK FROM HOME ONLINE TRADE FOREX 4 BEGINNERS
143. JASON STAPLETON – TRADERS WORKSHOP FOREX FULL COURSE
144. FOREX TRADING FOR NEWBIES
145. CRYPTO TRADING MASTERY COURSE

ECOM courses

146. Jared Goetz – Ecom Hacks Academy 2020
147. Marvin Hospes – eCom Success 3.0
148. Sarah Chrisp – Ecomm Clubhouse
149. Deepwork Labs – eCommerce Accelerator
150. Tony Folly – eCommerce Masterclass-How To Build An Online Business 2019
151. Vince Wang & Jordan Welch – eCom Accelerators Private Mastermind Replays
152. Gabriel St. Germain – eCom Blueprint 2.0
153. Ricky Hayes – Ecom Lifestyle University
154. Rafael Cintron – 7 Figure Ecommerce Inner Circle
155. iStack Traning – Ecommerce Mastery live Asia Thailand 2019
156. Tai Lopez – ECOM Agency
157. Ecom Titans – Keys To Consistency
158. Gabriel Beltran – The Ecom Millionaire Mastermind, Miami
159. Bill Dalessandro – Ecommerce: Product To Profit
160. Matt Gartner – eCom Lab
161. Arie Scherson – Ecom Inner Circle
162. Matt Gartner – 8 Hour eCommerce Profits
163. Justin Cener – eCommerce Bootcamp Mentor Program
164. Anthony Mastellone – eCom Success Lab
165. Earnest Epps – High Ticket eCom Secrets
166. Jon Mac – Ecommerce Accelerator
167. Seth Smith – Advanced Ecommerce Academy
168. Chris Blair – eCom Vantage

MARKETING courses

169. CXL Institute – 10 Courses Marketing Bundle
170. Matt Serwin – Klaviyo Email Marketing Masterclass
171. Million Dollar Marketing Methods – 2020 SEO
172. Fred Joyal – Marketing Course for Dental Marketing
173. Justin Jackson – Marketing For Developers
174. Brian Bewer – Madcam Marketing 2.0
175. Tiz Gambacorta – Amik Affiliate Marketing Intensive Kickstarter
176. Matt Cramer & Shayne Hillier – Real Estate Marketing Student Beta Program v2.0
177. Sean Vosler – 7 Figure Marketing Copy
178. Russ Henneberry – Content Marketing Mastery Course 2019
179. Ted McGrath – Marketing Masters Map
180. Jon Penberthy – Legit Marketing Academy 2019
181. ConversionXL, Dan McGaw – Optimizing Your Marketing Tech Stack
182. Brandon Belcher – CPA Marketing University
183. Jeremy Haynes – Digital Marketing Manuscript 2.0 + DSP
184. Mohamed Ali Aguel – Momentum Marketing Tribe
185. Jordan Steen -The Digital Marketing School
186. James Jason – Mortgage Marketing Mastery
187. Digital Marketing Nanodegree v3
188. Sean Terry – Marketing Mastery X
189. Simon Colhoun – Affiliate Marketing & List Building Video Course
190. Saj P & Jeevan S – Zero Resistance Marketing
191. Simplilearn – Digital Marketing Certification Training
192. Billy Gene’s Gene Pool | billy gene is marketing
193. Stefan James – Affiliate Marketing Mastery
194. Jaiden Gross – 30-Day Affiliate Marketing Challenge Training
ADVERTISING/ ADS courses
195. Harmon Bothers – Write Ads That Sell
196. Dental Clients – Proven Tested Ads and Funnel 2019
197. Traffic and Funnels – Advertising Workshop
198. Eugene M. Schwartz – Breakthrough Advertising
199. Kody – Advanced Bing Ads Training
200. Mike Harri – Pinterest Ads Masterclass
201. Ross Minchev – Pin Ads Jumpstart
202. Patrick Wind – Ads Accelerator Program
203. Adskills – Search And Destroy Bootcamp
204. Duston McGroarty – Push Notification Ads Masterclass
205. Epic Mail Machine – $100K Deals With No Paid Ads
206. Tristan Broughton – Google Ads Ecom Academy
207. Google Ads Mastery 2019-2020
208. Justin Sardi – Video Ads Masterclass

SALES courses

209. Josh Braun – Sales DNA
210. Dan Kennedy – Ultimate Sales Letter 2.0
211. Jim Huffman – The ClickMinded Sales Funnel Course
212. Building Sales Funnels for Backend Profits
213. GKIC – The No B.S. Renegade Guide To Putting Together A Highly Effective Sales Team

SMMA courses

214. Joel Kaplan – SMMA 7 Figure Agency
215. Quenten Chad & Jovan Stojanovic – 30 Days SMMA
216. Nick Kenens – Cold Emails for SMMA

COPYWRITING courses

217. Jim Edwards – Copywriting Secrets
218. Kyle – The Process A Draft By Draft Copywriting Walkthrough
219. Kim Krause Schwalm – Ultimate KKS Bundle (Copywriting)
220. Ray Edwards – Copywriting Academy 2
221. Shortcut Copywriting Secrets
222. Paul Hollingshead – AWAI’s Accelerated Program for Six-Figure Copywriting
223. Pam Foster – Direct Response Copywriting Course
224. Writing Tools & Hacks Copywriting/Blogging/Content Writing (Download)
225. AWAI – The Web Copywriter’s Clear Path to Profits

BLOGGING courses

226. Sarah Titus – Best Blogging Bundle
227. Ahrefs Academy – Blogging for business
228. WordPress Blogging How To Start A WordPress Blog
229. Blogging to Generate Leads: Business Blogging Essentials
CONSULTING courses
230. IMQueen – 1 Hour Consulting
231. Alex Becker – Hero Consulting Accelerator
232. Joe Soto – Local Consulting Academy Update last
233. Sabri Suby – Consulting Empire
234. John Shea – The SEO Consulting Blueprint (DOWNLOAD)
235. John Logar – Consulting Rocket
236. Sam Ovens – The Consulting Blueprint Complete

AGENCY courses

237. Elizetxe – Agency Blueprint
238. Sebastian Robeck and Bryan Ostemiller – Agency Hyper Growth
239. Michael Laurens – Agency Accelerator
240. Mariah Miller – Agency Takeoff
241. Jeff Miller – The Agency Scaling Secrets Trainings And Masterclasses
242. Natasha Takahashi – The Chatbot Agency Accelerator
243. Alex Brittingham – Agency Growth Hack
244. Jason Wardrop – The 6 Figure Agency Blueprint
245. Jeff Millers – Agency Scaling Secret
246. Bob Mangat – 7 Figure Agency Update-1
247. Joseph Davis – Underground Agency Playbook
248. Joseph Davis – Digital Agency Masterclass
249. Get Chris Record – Digital Agency Builders 2019
250. Brian Willie – Maps Liftoff Agency
251. Robb Quinn – Agency in a Box

EMAIL courses

252. Ben Settle – Email Players List Swell
253. Mike Shreeve – Email Academy
254. Alex Berman – Email 10k
255. Ezra Firestone – Smart Email Marketing 2.0
256. Matt Bacak – Email Marketing Specialist
257. HOW TO SEND UNLIMITED EMAILS STEP BY STEP
258. Ben Adkins – Cold Email Clients
259. Email Prospecting Blitz
260. Justin Cener – 97 Done For You Email Templates

BUSINNES courses

261. Max Tornow – Freedom Business Mentoring
262. Caity Hunt – Home Business Freedom Formula
263. John Whiting – Business Growth for Entrepreneurs
264. Josh Hall – Web Design Business Course
265. Andre Chaperon – Lean Business For Creators
266. Katie Yeakle – Secrets of Writing High-Performance Business-to-Business Copy
267. Beau Crabill – Credit Cards for Business

MANAGEMENT courses

268. Tai Lopez – Home Sharing Management Company
269. Ezra Firestone – Traffic MBA – Smart Project Management
ORATORY, CHARISMA, PERSUASION, FOCUS and MIND courses
270. Charlie Houpert – Charisma University
271. Jason Capital – The DOMINANCE
272. Jim Kwik – Unleash Your Brain
273. Vanessa Van Edwards – People School Science of People
274. Ramit Sethi – How To Talk To Anybody (Complete)
275. Magnetic Influence – Dani Johnson
276. Lazy Consultant System – Mitch Miller
277. Professional Speakers Academy – Andy Harrington
278. Unlimited Persuasion Power
279. Creating Fame Complete – Laura Roeder
280. [Download] HypnoRitual
281. Conversion XL – Digital Psychology and Persuasion Minidegree
282. Fascinate Your 7 Triggers to Persuasion and Captivation – Sally Hogshead
283. Persuasion IQ The 10 Skills You Need To Get Exactly What You Want
284. Power of Persuasion – Eben Pagan
285. Unlimited Persuasion Power
286. Course Builder’s Laboratory – Danny Iny
287. Bob Proctor – Magic In Your Mind
288. Mind Body Eating Online Conference
BOTS courses
289. Steve Larsen – ChatBots For MLM
290. Brian Anderson – Quantum Chat Bots
291. Nick Moreno – Messenger Bots For Entrepreneurs
292. Scott Oldford and Katya Sarmiento – Bots for Business
293. Bastian Ernst – Funnel Bots Pro
OTHER COURSES
294. Asian Efficiency – Finisher’s Fastlane
295. Colin Dijs – December Mastermind 2019
296. The Lending Lead Gen Academy
297. Stu McLaren – Tribe 2019
298. Yuping Want – Sourcing Warrior Mastermind
299. Carl Allen – Dealmaker Wealth Society
300. Nick Torson & Max Sylvestre – Quit 9 To 5 Academy
301. Bob Diamond – The Overages Blueprint 2019
302. Get Aidan Booth and Steven Clayton – Parallel Profits
303. Harlan Kilstein – Sneaker Riches
304. Tony Robbins, Dean Graziosi – The Knowledge Broker Blueprint
305. Mitch Harper – 60 Day Startup
306. RSD max - The Natural
307. Guru Siphon Formula – 6 modules & 143 videos
308. Andre Chaperon – Lean Business For Creators
309. Todd Brown – Borrowed Best Seller
JASON CAPITAL courses
310. Instagram Agent System
311. Conversation God 2019
312. Email Income Experta
313. Sales god
314. High Income Weekly Skills Training
315. Status Unleashed (bonus)
316. THE JASON CAPITAL COPYWRITING CERTIFICATION PROGRAM
TAI LOPEZ courses
317. Tai Lopez - SMMA 2.0
318. Tai Lopez - Cashflow System
319. Tai Lopez - Digital Social Marketing Consultant
320. TAI LOPEZ – PRIVATE MENTOR CONFERENCE 2018
321. TAI LOPEZ –ENTREPRENEURS STARTER KIT
DAN LOK courses
322. DAN LOK – HIGH TICKET CLOSER
323. Dan Lok – Instagram Secret 2019
324. DAN LOK – PERFECT CLOSING SCRIPT
325. DAN LOK – TUBE YOUR OWN HORN
326. DAN LOK – 6 STEPS TO 6 FIGURES

IMAN GADZHI courses

327. IMAN GADZHI – AGENCY INCUBATOR
328. IMAN GADZHI – SIX FIGURE SMMA
329. IMAN GADZHI – INFLUENCER IGNITED 2.0
330. IMAN GADZHI – KAIZEN CURE
331. IMAN GADZHI – PEN TO PROFIT MEMBERSHIP
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From the $BLK DD guy that rolled into $XLF last month. I am currently long $SLV, $GLD, $GDX, and $GDXJ with call spreads, shares, and just pruned $AMZN and $AAPL gains but keeping $ARKF, $ARKQ, and $ARKK (ETFs with $TSLA as the largest holding.)
Today, Friday's CNBC "Options Action" has just dangled calls on the $TLT, the ETF that tracks the 20+ year *BOND PRICES move inverse to yields and the Fed would not mind rates to hit 0% to spark inflation.* I concur with CNBC who suggested buying August dated call spreads on $TLT.
My $XLE long dated puts have been melting up. I am short every sector ETF but $IBB and $XLV. Be careful as these options are not as liquid as the $QQQ or $SPY but I cannot help that sectors are moving down when oil is down.
The VIX is holding steady, steady high. I am not hedging with the $VIX when stay home stonks work- the $VIX is broken imao so use $GLD, $SLV, and $TLT because bond rates are going to 0% (meaning the price goes up.)
I also concur with CNBC that options are the best way to play a market by reducing risk like selling a put. There are risky options, and very safe options if you can own 100 shares (the company could be $DTEGY Deutsche Telekom AKA T-Mobile/Sprint and the bringer of 5G eventually, pick your poison.)
I suggest selling a put for some good companies with solid balance sheets, 5G capabilities, and anything auto in the green space to get 100 shares of companies (see the next paragraph.)
My suggestions for getting 100 shares at a cheaper price would be Ericsson (trading under $10,) Dell or VMWare (you pick the one that matches your risk,) NIO (trading below $10), $NOK at $4 is interesting, and for big rollers Amazon (if you have the $ to own 100 shares at $2,500 or $250,000 or less, I would but that is for wsb) That is, if Amazon retests $2,500. I suggest 100 shares of $SHLL for YOLO if this bores you as this is the best $SPAC (but there is probably other ones because management is all you have with blank check companies.)
AFTER you own 100 shares of $AAL or $TSM or Dell or whatever, you can dump the 100 shares anytime. I suggest you keep them and sell options and join the theta gang. Why not get paid for owning your 100 shares of $TSM [Taiwan Semiconductor, the company onshoring manufacturing to America] you got at $45? $TSM August 21 $45p is $.35. If you had 100 shares of $TSM today, selling a $60c gives you $140 just for holding the shares until August 21st.
Bullish on onshoring green jobs because Trump leaving office is the biggest buy after the news ever. (Buy on the rumor sell on the news but in reverse because solar employs more than fossil fools in TX pre COVIDcession.)
For examples of selling a put: $AAL Nov 20th $2 puts are $0.14 (You are agreeing to buy 100 shares of $AAL at $2/share before or on November 20th, if you are not asked to buy $AAL you keep your $0.14 collateral and the full $14 credit.)
A shorter dated long put $AAL Aug 21st put is $0.09 ($9.) Or you could buy the death puts on $AAL but JPow exists, hence zombie companies, like Hertz, so that is just blowing money. $AAL has the highest %age interest on their debt and the CLOs (their bond insurance) were the highest, I have to check again ($AAL is the worst, but not as bad as $HTZ, a worthless zombie stock.)
*BOND prices move inverse to yields so going from 0.5% to 0% makes the price go up* Zombie companies with balance sheet nightmares is what keeps bond prices upper bound at 0.8 but lower bound is 0%.
Worthless zombie stocks include banks, fossil fools, and then by default industrials, and I hate to say that I am only long $XLK and thinking of $IBB. Every day that oil is not above $35 or in the green or both is a day stonks tank. Every stonk will fall after earnings. Short individual stonks going into earnings, wait- all stonks have cancelled earnings. See why I think maximum protection by not going long the VIX but long gold, silver, even transition phase metals, copper, and BONDS.
$NEM, $GLDI, $SLVP, $HL, $SAND, $SA, $GLTR, $PALL, $SPPP, $SSRM, $BTG , $PPLT, $PLTM, $NUGT, $BAR, $FNV all up today [I also have $GLNCY, $SBSW, and $PLG.] Why own these when you can just long $GDX and $GDXJ?
I do think rates will remain positive, until they are not positive anymore, AKA Japan and Europe :). What BOND fund would you long or short and why, besides $TLT? If a 100 year bond comes out, the interest rate will be 0% anyways in the long run, but we are dead in the long run, so long live bonds until we decarbonize the economy, tax the rich, and pigs fly (not happening fast enough.) Ray Dalio and many others have been harping about this, and a broken clock is right twice a day, or a bear is right when we are in a bear market with a broken VIX.
The bond market is king compared to the stonk market in sheer $. And ForEx trades trillions a day and is important (on days the $DXY, the basket of the dollar versus the globe) goes up $GLD should ease and is a time to buy the dip, and on days the $DXY goes down $GLD will gap up during this "bear oil/hospitality/planes" market.) When the $DXY goes down, it takes more dollars to buy the gold/silvecoppematerials, and $GLD rises and is very liquid for options. Thinking August to add to my Dec 31st $160c. That is, unless we are going to allow millions to go into poverty, so then just buy guns and physical gold and we can trade scraps of silver.
Fossil fools, the slow pace of massive renewable energy projects, and both candidates tripping overthemselves to be more anti-China during global warming and upcoming food inflation spell the need risk reduction (if you plan on holding equities please buy puts to hedge.)
TL;DR $TLT August call spreads, $TLT is the 20 year bond ETF. Pick companies you want to own 100 shares of by selling a put while long $GLD and long $SLV print money so holding the 100 shares prints money joining theta gang.

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