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MAME 0.222

MAME 0.222

MAME 0.222, the product of our May/June development cycle, is ready today, and it’s a very exciting release. There are lots of bug fixes, including some long-standing issues with classics like Bosconian and Gaplus, and missing pan/zoom effects in games on Seta hardware. Two more Nintendo LCD games are supported: the Panorama Screen version of Popeye, and the two-player Donkey Kong 3 Micro Vs. System. New versions of supported games include a review copy of DonPachi that allows the game to be paused for photography, and a version of the adult Qix game Gals Panic for the Taiwanese market.
Other advancements on the arcade side include audio circuitry emulation for 280-ZZZAP, and protection microcontroller emulation for Kick and Run and Captain Silver.
The GRiD Compass series were possibly the first rugged computers in the clamshell form factor, possibly best known for their use on NASA space shuttle missions in the 1980s. The initial model, the Compass 1101, is now usable in MAME. There are lots of improvements to the Tandy Color Computer drivers in this release, with better cartridge support being a theme. Acorn BBC series drivers now support Solidisk file system ROMs. Writing to IMD floppy images (popular for CP/M computers) is now supported, and a critical bug affecting writes to HFE disk images has been fixed. Software list additions include a collection of CDs for the SGI MIPS workstations.
There are several updates to Apple II emulation this month, including support for several accelerators, a new IWM floppy controller core, and support for using two memory cards simultaneously on the CFFA2. As usual, we’ve added the latest original software dumps and clean cracks to the software lists, including lots of educational titles.
Finally, the memory system has been optimised, yielding performance improvements in all emulated systems, you no longer need to avoid non-ASCII characters in paths when using the chdman tool, and jedutil supports more devices.
There were too many HyperScan RFID cards added to the software list to itemise them all here. You can read about all the updates in the whatsnew.txt file, or get the source and 64-bit Windows binary packages from the download page.

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

submitted by cuavas to emulation [link] [comments]

Wine 5.9 Released

The Wine development release 5.9 is now available.
 
https://www.winehq.org/announce/5.9 
 
What's new in this release (see below for details):
 
- Major progress on the WineD3D Vulkan backend. - Initial support for splitting dlls into PE and Unix parts. - Support for generating PDB files when building PE dlls. - Timestamp updates in the Kernel User Shared Data. - Various bug fixes. 
 
The source is available from the following locations:
http://dl.winehq.org/wine/source/5.x/wine-5.9.tar.xz http://mirrors.ibiblio.org/wine/source/5.x/wine-5.9.tar.xz 
 
Binary packages for various distributions will be available from:
http://www.winehq.org/download 
 
You will find documentation on
http://www.winehq.org/documentation 
 
You can also get the current source directly from the git repository.
Check
http://www.winehq.org/git for details. 
 
Wine is available thanks to the work of many people.
See the file AUTHORS in the distribution for the complete list.
 
 
Bugs fixed in 5.9 (total 28):
 
15489 Build should optionally produce .pdb file suitable for use with symbol server 29168 Multiple games and applications need realtime updates to KSYSTEM_TIME members in KUSER_SHARED_DATA (Star Wars: The Old Republic game client, Blizzard games, GO 1.4+ runtime, Denuvo Anti-Tamper x64 #2) 29806 Hype The Time Quest: DirectX Media (DXM) v6.0 runtime installer fails (advpack.ExecuteCab should extract the INF from CAB before running the install part) 30814 Age of Empires II scrolling gets stuck after Alt-Tab away and back 42125 4k/8k demos often fail with 'Bad EXE Format' or 'error c0000020' due to Crinkler executable file compressor's "optimized" usage of PE header fields (loader compatibility) 43959 webservices/reader tests fail on arm 43960 rpcrt4/cstub tests fail on arm 43962 msvcrt/string tests fail on arm 44860 4k/8k demos crash due to Crinkler executable file compressor expecting PEB address in %ebx on process entry 48186 every wine process shows a definite leak in dlls/ntdll/env.c 48289 Grand Theft Auto 5 crashes after loading (GTA5 expects Vista+ PEB_LDR_DATA structure fields) 48441 mouse coordinates cannot exceed initial desktop size during startup of wineserver 48471 Mismatching behavior of GetEnvironmentVariableW for empty / long values 48490 Restored minimized windows have wrong height 48775 Microsoft Teams 1.3.x crashes on unimplemented function IPHLPAPI.DLL.NotifyRouteChange2 49105 Deus Ex GOTY fails to start with Direct3D renderer 49115 Hitman (2016) and Hitman 2 (2018) fail to launch in DX11 mode 49128 Good Company crash on launch 49130 NVIDIA RTX Voice installer crashes on unimplemented function setupapi.dll.SetupDiGetActualSectionToInstallExW 49131 wineboot fails to start 49139 Regression: Wine crashes on startup on FreeBSD >= 5.7 49140 Windows 10 SDK installer hangs on startup 49142 Horizontal mouse scroll events (X11 buttons 6 and 7) should not be translated to back/forward events 49146 Hearts of Iron IV needs api-ms-win-crt-private-l1-1- 0.dll._o_sin 49173 widl generates invalid code for Gecko's ISimpleDOM.idl 49175 Duplicated checking canonicalized inside kernelbase/path.c 49200 Steam hangs after login 49203 Possible incorrect usage >= instead <= in shlview.c 
submitted by catulirdit to linux_gaming [link] [comments]

The state of cross platform GUI frameworks in mid 2020

I don't really know what I want to achieve with this post, I guess a healthy discussion and (less likely) enlightenment about a GUI framework that I've missed.
I want to build a cross platform native application, I really do, but the current state of cross platform GUI libraries lives me disappointed.
Lets do a quick recap of what we have:
  1. QT - C++ based with many binding (the popular one is Python) with a very ambiguous license model (IMNAL, partly LGPL that requires you to link dynamically to Qt and forbids you to change it, partly GPL [like the charts sub module] that requires you to open source you app) - with an absurdly high license fee of almost $4k which is way bigger than a wallet of a solo developer that is doing something for a hobby. On top of that it uses C++ (which I dislike).
  2. JavaFX - Half baked (missing lots of modules that are available as third party), java based with very confusing versioning (was part of JDK, now its not. Third party modules are not supported by newer Java versions).
    1. There is TornadoFX that makes Java go away and replaces it with a way nicer language like Kotlin, but it has the same issues as JavaFX - half baked, officially supports Java 8 (which is coming close to End of Free public updates by Oracle)
  3. Swing / AWT - Probably already dead except for companies that are heavily invested into it and have manpower to maintain the code
  4. wxWidgets - Half baked, C++
  5. GTK - Looks good only in Linux, also C++
  6. Electron - Web based, a lot of available web components (graphs, auto complete, DnD and etc), no single framework that has extensive components so you are left with building your own Frankenstein of gazzilion npm packages, big binary size, memory eater
  7. And a lot more that are not ready for production.
So. What options are left to a solo dev who want to build cross platform applications?
submitted by skwee357 to AskProgramming [link] [comments]

MAME 0.221

MAME 0.221

Our fourth release of the year, MAME 0.221, is now ready. There are lots of interesting changes this time. We’ll start with some of the additions. There’s another load of TV games from JAKKS Pacific, Senario, Tech2Go and others. We’ve added another Panorama Screen Game & Watch title: this one features the lovable comic strip canine Snoopy. On the arcade side, we’ve got Great Bishi Bashi Champ and Anime Champ (both from Konami), Goori Goori (Unico), the prototype Galun.Pa! (Capcom CPS), a censored German version of Gun.Smoke, a Japanese location test version of DoDonPachi Dai-Ou-Jou, and more bootlegs of Cadillacs and Dinosaurs, Final Fight, Galaxian, Pang! 3 and Warriors of Fate.
In computer emulation, we’re proud to present another working UNIX workstation: the MIPS R3000 version of Sony’s NEWS family. NEWS was never widespread outside Japan, so it’s very exciting to see this running. F.Ulivi has added support for the Swedish/Finnish and German versions of the HP 86B, and added two service ROMs to the software list. ICEknight contributed a cassette software list for the Timex NTSC variants of the Sinclair home computers. There are some nice emulation improvements for the Luxor ABC family of computers, with the ABC 802 now considered working.
Other additions include discrete audio emulation for Midway’s Gun Fight, voice output for Filetto, support for configurable Toshiba Pasopia PAC2 slot devices, more vgmplay features, and lots more Capcom CPS mappers implemented according to equations from dumped PALs. This release also cleans up and simplifies ROM loading. For the most part things should work as well as or better than they did before, but MAME will no longer find loose CHD files in top-level media directories. This is intentional – it’s unwieldy with the number of supported systems.
As usual, you can get the source and 64-bit Windows binary packages from the download page. This will be the last month where we use this format for the release notes – with the increase in monthly development activity, it’s becoming impractical to keep up.

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

MAME 0.222

MAME 0.222

MAME 0.222, the product of our May/June development cycle, is ready today, and it’s a very exciting release. There are lots of bug fixes, including some long-standing issues with classics like Bosconian and Gaplus, and missing pan/zoom effects in games on Seta hardware. Two more Nintendo LCD games are supported: the Panorama Screen version of Popeye, and the two-player Donkey Kong 3 Micro Vs. System. New versions of supported games include a review copy of DonPachi that allows the game to be paused for photography, and a version of the adult Qix game Gals Panic for the Taiwanese market.
Other advancements on the arcade side include audio circuitry emulation for 280-ZZZAP, and protection microcontroller emulation for Kick and Run and Captain Silver.
The GRiD Compass series were possibly the first rugged computers in the clamshell form factor, possibly best known for their use on NASA space shuttle missions in the 1980s. The initial model, the Compass 1101, is now usable in MAME. There are lots of improvements to the Tandy Color Computer drivers in this release, with better cartridge support being a theme. Acorn BBC series drivers now support Solidisk file system ROMs. Writing to IMD floppy images (popular for CP/M computers) is now supported, and a critical bug affecting writes to HFE disk images has been fixed. Software list additions include a collection of CDs for the SGI MIPS workstations.
There are several updates to Apple II emulation this month, including support for several accelerators, a new IWM floppy controller core, and support for using two memory cards simultaneously on the CFFA2. As usual, we’ve added the latest original software dumps and clean cracks to the software lists, including lots of educational titles.
Finally, the memory system has been optimised, yielding performance improvements in all emulated systems, you no longer need to avoid non-ASCII characters in paths when using the chdman tool, and jedutil supports more devices.
There were too many HyperScan RFID cards added to the software list to itemise them all here. You can read about all the updates in the whatsnew.txt file, or get the source and 64-bit Windows binary packages from the download page.

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

submitted by cuavas to MAME [link] [comments]

RESULTS of the State of the Game Survey: April 2020

Weekly/Important Megathreads:
Weekly Discussion Megathread
Edelgard Legendary Hero Battle Megathread
Legendary Hero Banner Megathread
Green Grapple Voting Gauntlet Megathread

 
Hi all,

It’s time for the results!

Thank you to everyone who took the time to respond - we had over 1600 responses, which is great! These insights wouldn’t be possible without your time and support.

As always, neither myself nor this survey are associated with Intelligent Systems or Nintendo in any way. Please direct feedback about the game itself to the official channels.

Now let’s get into it!
 
Previous Survey Results: February_2020_State_of_the_Game_Survey

~ Demographics ~

54.3% began playing FE:H in February 2017, with 22.6% more joining during the first year of the game. 13.0% of respondents joined during the second year, 7.8% joined during the third, and 1.5% joined during the fourth year (the last 3 months).

The age range breakdown of respondents is as follows:
  • (2.9%) 12 – 15 years old
  • (15.0%) 16 – 18 years old
  • (23.5%) 19 – 21 years old
  • (20.7%) 22 – 24 years old
  • (27.0%) 25 – 30 years old
  • (8.5%) 31 – 40 years old
  • (0.9%) 40+ years old

77.5% of respondents identified as Male, 17.7% as Female, and 2.6% as Non-binary.

18.5% of respondents have never missed a daily login (though note that this option was added many hours after the survey’s release). A further 44.2% have missed less than a month’s worth of logins, 12.8% missed 1-2 months, 9.6% missed 3-6 months, 4.7% missed 7-12 months, and 3,8% missed over a year’s worth.

34.8% report being F2P, while 29.8% have spent less than $100, 16.2% spent between $100 - $499, 6.3% spent between $500 - $999, and 10.4% have spent over $1000.

34.8% last spent money on FE:H during the fourth year of the game (the last 3 months), while 12.0% last spent money during the third year of the game, 9.4% last spent during the second year of the game, and 6.6% last spent money during the first year of the game.

~ Summoning ~

“Which of the following banners have you used orbs on at least once?”
  • (63.0%) Harmony Amid Chaos
  • (57.0%) The Start of It All
  • (56.4%) Mythic Hero: Bramimond
  • (51.8%) Journey Begins
  • (47.3%) Legendary Heroes: Chrom
  • (43.2%) Familial Festivities
  • (37.2%) Double Special Heroes

“Which of the following banners did you use the most orbs on?”
  • (23.4%) Harmony Amid Chaos
  • (16.9%) Journey Begins
  • (16.3%) Mythic Hero: Bramimond
  • (14.4%) The Start of It All
  • (8.5%) Familial Festivities
  • (8.4%) Legendary Heroes: Chrom
  • (6.6%) Double Special Heroes

“What was your favorite banner?”
  • (23.8%) Harmony Amid Chaos
  • (18.3%) The Start of It All
  • (14.9%) Journey Begins
  • (13.5%) Mythic Hero: Bramimond
  • (8.5%) Double Special Heroes
  • (7.8%) Legendary Heroes: Chrom
  • (4.9%) Familial Festivities

“Did you spend money specifically to summon on any of the banners below?”
  • (7.9%) Harmony Amid Chaos
  • (7.8%) The Start of It All
  • (7.1%) Journey Begins
  • (6.7%) Mythic Hero: Bramimond
  • (4.3%) Familial Festivities
  • (4.2%) Legendary Heroes: Chrom
  • (4.0%) Double Special Heroes

“If you could only pick one method of making old Seasonal heroes available, which would you choose?”
  • (46.4%) Seasonal heroes are only available once a year on a re-run of their original banner
  • (25.7%) Seasonal heroes are only available through Double Special Heroes banners, and no seasonal banners are re-run.
  • (6.5%) Seasonal heroes are only available through Legendary and Mythical banners, and no seasonal banners are re-run.

43.8% would like Double Special Heroes banners to continue excluding year-one seasonals, compared to 31.9% who want them to include year-one seasonals.

4.19/5.00 is the average rating of how satisfied respondents were with the new feature allowing for your choice of free 5*-focus after 40 summons on New Heroes banners. 80.9% rated their satisfaction at a 4/5 or above.

36.1% reached the 40 summons needed for the feature allowing their choice of free 5*-focus on Journey Begins. 63.9% did not reach 40 summons on Journey Begins.
Of those who reached 40 summons, 51.2% say that they spent more orbs on the banner than they would have if the feature did not exist, while 19.8% say that they spent less orbs that they would have. 28.9% reported no change in orb spending behavior as a result of the feature.

~ Hall of Forms ~

“In this Hall of Forms, which Forma was your best unit?”
  • (56.7%) Olwen (WoT)
  • (10.6%) Leif
  • (10.1%) Finn
  • (9.9%) Reinhardt (WoT)

“In this Hall of Forms, which Forma was your worst unit?”
  • (34.0%) Leif
  • (26.3%) Reinhardt (WoT)
  • (22.3%) Finn
  • (3.5%) Olwen (WoT)

2.70/5.00 is the average rating of the addition of Forma Souls. 36.5% rated their feelings on Forma Souls at a 2/5 or below, while 16.2% rated 4/5 or above.

11.6% purchased a Forma Soul, compared to 88.1% who did not.

Of those who purchased a Forma Soul, 30.6% used it on Olwen (WoT), 29.7% used it on Leif, 26.1% used it on Finn, and 13.5% used it on Reinhardt (WoT)

Of those who have not purchased a Forma Soul, 71.1% say that they would never purchase a Forma Soul regardless of who is featured, while 28.8% say that they would if a certain hero was featured.

Of those who would pay a non-zero amount for a Forma Soul, $9.31 is the average of the amounts respondents would be willing to pay for a Forma Soul with no additional orbs.

~ Limited Hero Battles ~

47.5% completed all of the available Limited Hero Battle maps on their hardest difficulties, compared to 51.5% who did not.

19.5% needed to reference guides, videos, or other players’ clears in order to complete Limited Hero Battle maps, compared to 75.6% who did not.

3.19/5.00 is the average rating of preparedness for the Limited Hero Battles. 29.4% rated their preparedness at a 2/5 or below, while 44.4% rated their preparedness at a 4/5 or above.

64.6% had enough heroes to form a fully-built team of four for all of the battles, compared to 28.4% who did not.

3.38/5.00 is the average rating of how challenging respondents found the Limited Hero Battle restrictions. 15.2% rated the difficulty at a 2/5 or below, while 48.2% rated the difficulty at a 4/5 or above.

3.44/5.00 is the average rating for enjoyment of the Limited Hero Battles. 20.4% rated their enjoyment at a 2/5 or below, while 51.7% rather their enjoyment at a 4/5 or above.

~ Divine Codes ~

52.4% feel positively about the use for Divine Codes, compared to 7.3% who feel negatively. 38.5% are neutral.

“Which of the following Divine Code paths is most appealing to you?”
  • (27.2%) Holy War (Leif, Deirdre, Sigurd, Lewyn, Ishtar (Performing))
  • (22.0%) Awakening/Fates (Cordelia (Summer), Robin (M, Fallen), Owain, Xander (Performing), Corrin (M, Adrift))
  • (14.2%) Blades/Sacred Stones (Lilina (Valentines), Amelia, Nino (Fangs), Ephraim (Winter), Hector (Valentines))
  • (9.1%) Radiance (Leanne, Elincia (Performing), Lethe, Tanith (Valentines), Greil (Valentines))
  • (7.7%) Mystery/Shadows (Caeda (Bridal), Celica, Genny (Picnic), Palla (Spring), Kliff)
  • (5.1%) Heroes (Alfonse (Spring), Ylgr, Bruno (Spring), Fjorm (New Years), Laevatein (Summer))

“Which of the following Divine Code paths do you believe is the best value / best overall path to spend Divine Codes on?”
  • (25.5%) Awakening/Fates (Cordelia (Summer), Robin (M, Fallen), Owain, Xander (Performing), Corrin (M, Adrift))
  • (22.0%) Holy War (Leif, Deirdre, Sigurd, Lewyn, Ishtar (Performing))
  • (16.6%) Blades/Sacred Stones (Lilina (Valentines), Amelia, Nino (Fangs), Ephraim (Winter), Hector (Valentines))
  • (7.5%) Radiance (Leanne, Elincia (Performing), Lethe, Tanith (Valentines), Greil (Valentines))
  • (3.0%) Mystery/Shadows (Caeda (Bridal), Celica, Genny (Picnic), Palla (Spring), Kliff)
  • (3.0%) Heroes (Alfonse (Spring), Ylgr, Bruno (Spring), Fjorm (New Years), Laevatein (Summer))

51.4% got both 5* heroes from the Limited Time Compile path 3, while 25.6% only got Kagero (Spring), and 5.1% only got Camilla (Spring), while 15.8% got neither.

3.04/5.00 is the average satisfaction rating with the options of Limited Manuals offered so far. 27.3% rated their satisfaction at a 2/5 or below, while 32.8% rated their satisfaction 4/5 or above.

~ Feh Pass and Resplendent Heroes ~

57.0% feel negatively about the addition of the Feh Pass, compared to 10.1% who feel positively. 31.8% are neutral. Compared to last survey, this is a 13.6% reduction in negative feelings, with a 4.2% increase in positive feelings and the rest going to neutral.

30.7% have purchased the Feh Pass, compared to 69.3% who have not. This is a 6.7% increase compared to the last survey.

Of those who have subscribed to Feh Pass, 4.5% have purchased Resplendent Heroes separately, compared to 95.5% who have not.

“Which Resplendent Hero is your favorite?”
  • (19.5%) Eliwood
  • (17.9%) Cordelia
  • (13.3%) Sophia
  • (12.5%) Ike
  • (11.7%) Lyn
  • (10.4%) Azura

“Which Resplendent outfit theme is your favorite?”
  • (24.1%) Nifl
  • (18.8%) Muspell
  • (14.2%) Askr
  • (13.7%) Embla

“If you could only choose 1 of the Feh Pass features to make free, which would you choose?”
  • (41.7%) Auto-Start/Repeat
  • (27.8%) Resplendent Heroes
  • (14.6%) Expanded Summoner Support
  • (7.5%) Re-Act Button
  • (6.8%) Exclusive/Extra Quests

~ Miscellaneous ~

“Which game do you want a New Heroes banner from the most?”
  • (27.9%) Three Houses
  • (10.6%) Awakening
  • (9.2%) Radiant Dawn
  • (7.7%) Genealogy of the Holy War
  • (7.5%) Sacred Stones
  • (7.0%) Path of Radiance
  • (4.1%) Blazing Blade
  • (4.0%) Fates
  • (4.0%) TMS #FE
  • (3.4%) Thracia 776
  • (3.3%) Gaiden / Shadows of Valentia
  • (1.9%) Mystery of the Emblem / New Mystery of the Emblem
  • (1.8%) Binding Blade
  • (1.8%) Shadow Dragon and the Blade of Light / Shadow Dragon

20.4% feel positively about the introduction of Duo Heroes, compared to 30.4% who feel negatively. 48.6% are neutral.

“Which color would you choose / have chosen for the Free 5* Hero: Fire Emblem Leads, assuming you got all colors?”
  • (60.1%) Green
  • (19.4%) Red
  • (17.8%) Blue
  • (0.9%) Colorless

46.9% were satisfied with their summon from the Free 5* Hero: Fire Emblem Leads event, compared to 48.4% who were not.

67.0% participated in the Voting Jubilee event, compared to 31.7% who did not.

36.4% want to see more Trio Heroes in the future, compared to 33.5% who do not.

“Which FE continent / world’s Mythic Heroes are you most excited for?”
  • (20.5%) Fodlan
  • (15.7%) Tellius
  • (10.0%) Jugdral
  • (9.8%) Elibe
  • (7.5%) Valentia
  • (6.4%) Magvel
  • (5.2%) Fates Continent
  • (4.5%) Archanea
  • (1.2%) Zenith

“How many of the Rokkr Remnant accessories have you acquired?”
  • (35.2%) 0
  • (6.9%) 1
  • (5.7%) 2
  • (4.3%) 3
  • (3.2%) 4
  • (3.4%) 5
  • (4.3%) 6
  • (3.6%) 7
  • (15.7%) 8

Heroic Grails is the most desired premium item currency respondents want more of, at 47.8%. Next is Dragonflowers (25.4%), followed by Refining Stones / Divine Dew (15.3%), then Sacred Coins (8.5%).

“How much do you care about your rank in the following modes?”
  • (2.76/5.00 average) Arena
  • (2.70/5.00 average) Aether Raids
  • (2.43/5.00 average) PvE game modes with player ranking boards
  • (1.82/5.00 average) Arena Assault

32.8% have not played any other gacha games besides FE:H, while 19.8% have played 1 other gacha game, 18.6% have played 2, 10.5% have played 3, and 18.3% have played 4 or more.

~ Intelligent Systems Approval Ratings ~

The approval ratings are calculated by the proportion of Approve responses compared to the number of both Approve and Disapprove responses.

Percent who approve of the way Intelligent Systems is handling:
  • 62.7% - The addition of new heroes / characters to the game (-7.6)
  • 63.9% - The gacha mechanics and summoning banners (+22.6)
  • 49.8% - The story/plot (+0.7)
  • 86.4% - Unranked PvE game modes (Hero Battles, Forging Bonds, Tactics Drills, Lost Lore, Hall of Forms) (-2.6)
  • 53.3% - Ranked PvE game modes (Voting Gauntlets, Tempest Trials, Grand Conquest, Allegiance Battles, Rokkr Sieges, Mjolnir's Strike) (-6.1)
  • 40.8% - Arena
  • 41.3% - Arena Assault
  • 33.1% - Aether Raids

30.4% believe Intelligent Systems cares about its Free to Play userbase (up 8.7% from the last survey), while 47.4% do not. Since the last survey’s result was the lowest polling for this question in the game’s history, the 8.7% increase brings us to 27.6% lower than we were before the drop).

28.1% approve of the way Intelligent Systems is handling Fire Emblem: Heroes as a whole (up 5.2% from the last survey), while 26.5% disapprove. Since the last survey’s result was the lowest polling for this question in the game’s history, the 5.2% increase brings us to 22.5% lower than we were before the drop).

A NOTE ABOUT METHODOLOGY: The overall approval ratings question above has traditionally been the exact percent of Approve responses, as a proportion with both Neutral and Disapprove responses. Note that this is different than the way approval is calculated for individual modes (the proportion of Approve responses compared to the number of both Approve and Disapprove responses), where Neutral responses are excluded. The difference in calculation has continued this way in order to maintain comparability with previous survey results.
For comparisons sake, the overall approval rating trend going by raw Approval percentage over the last 3 surveys is: 50.6% (Dec) -> 22.9% (Feb) -> 28.1% (Apr)
Whereas the overall approval rating trend going by proportion of Approve/Disapprove with the Neutrals excluded over the last 3 surveys is: 82.2% (Dec) -> 41.0% (Feb) -> 51.3% (Apr).
I’d be interested to know which you prefer / find more valuable, so if you have opinions on it, please let me know in the comments!

~ Bonus Questions ~

24.4% prefer Feh’s old voice (Kimberly Tierney), while 45.9% prefer Feh’s new voice (Cassandra Lee Morris), with 29.7% unable to decide.

“Who is your Favorite Hero added since the last survey?”
  • Lysithea is the winner, followed by Bramimond, then Y!Minerva.
  • Full results here: [Graph]

“Who is your Most Wanted Hero added since the last survey?”
  • Bramimond is the winner, followed by Lysithea, then Palla (Young, Trio)
  • Full results here: [Graph].

“Which character would you most want to get a Resplendent version?”
  • Robin and Corrin are tied for the win, though both also get vote-sharing between M/F versions because way too many people didn’t specify.
  • Lucina is the runner-up, followed by Lloyd.
  • Top 10 here: [Graph].

“What would be the best Trio and why?”: [Selected Responses]

~ Feedback ~

As always, I received lots of great feedback, both in your survey responses and in the thread itself. A heartfelt thank you to all participants for your encouragements and criticisms - these surveys wouldn’t be where they are without your feedback. But it’s not all serious; feedback messages also included:

This fantastic song parody by u/juuldude

  • #DeleteL!AzuraFromFEH2020 #JusticeForSeliph #Floofmomgang #ResplendentHinokaWhen #ResplendentAlfonse #JusticeForJill #JusticeForTelliusUnits #NoMoreElibe #JusticeforCanas #sephiranwhen #StayInsideAndWashYourHands
  • "*dabs to try and get a Legendary Seliph to exist*"
  • “according to all known laws of aviation everything still dies to reinhardt”
  • “Bernadetta was social distancing before it was cool”
  • “Emblian Empire is grateful for your hard work like always, but slightly annoyed the +10 5-stars question was left out just when I finally completed an old project!”
  • “Greetings from the massive salt palace of Grado, where Formotiis awaits to either be summoned in the upcoming Fallen banner or to destroy Askr for their impudence! (seriously though its been like three years come on intsys Lyon is RIGHT THERE)”
  • “hi I was tempted to give a meme answer for the amount I'd be willing to spend on a forma hero but I think you take averages for that stuff so i wrote 0 instead of 69420 you're welcome” – thank you for your restraint :P
  • “i’m saving orbs to +10 azura this june please wish me luck 🤞🤞🤞” – Beaming luck to your location!
  • “Imagine this, you were playing P5R a new FEH channel comes out so start to watch it. Morgana's voice is still echoing in your head. Are you going crazy? Has the quarantine got you you?”
  • “You need orders, please? CHOP the curve. Submit to Dr. Grima and stay home. Iiiit's time to play it safe. Let's not fly and let's not swim publicly unless we have to. I can't stop this thing. A safe distance away is right where I want you. You...like Ike to stay home where he won't spread anything. COVID is powercreep at Alm-alt levels, something nobody wants.”
  • “In Nino We Trust”
  • “so like FEH is letting us put actual children to war now like est is a whole fetus and kiran whacky ass put her and her sisters out on a battlefield to fight literal murder clowns and actual satan. like is that me or is that just a little messed up they should be home enjoying Welch fruit snacks while watching paw patrol”
  • “JILL. WHEN.” – I think I’ve been getting these comments for over 2 years now and they keep getting more desperate ☹
  • “Remember to stay safe! We're all in a Fog of War map on Classic right now.” – Strangely accurate
  • And greetings from Chile, Colombia, Finland, Germany, Hong Kong, SEA, South Korea, Vietnam, Kuala Lumpur, Alaska, Florida, New Jersey, North Carolina, The Bahamas, Fodlan, Ravnica, Renais, Tellius, the Alliance, and Bernadetta’s room
And some more personal inquiries:
  • “Greetings, ShiningSolarSword! Nothing to report.”
  • “Hey didn't you just do one of these on the Magia Record subreddit?” – Yep :D
  • “How are you holding up in regards to the coronavirus? Thanks again for still doing these in times like... this.” - I’m doing well all things considered, hope you are as well!
  • “Hello, this is Azura. I am very angry to be replaced, u/ShiningSolarSword. What even is a Norne and how could she possibly be better than the queen of Valla? I do hope you consider appreciating me in the future, it would be a shame if a certain survey-giver were to turn up dead in the future, not like that’s a threat or anything.” – Y-y-yes, definitely. *quietly foddering Alm to Norne*
  • “Norne's reign of terror has ended. Reddit user ShiningSolarSword has secretly accepted the way of the Reinhardt by brandishing the tiny-handed grinning Azura.” - *quietly foddering Duo Ephraim to Norne*
  • “Resplendent Norne + refine when?” – this person knows what’s up
  • “Can we have another gag survey? Quarantine is boring.” – not a bad idea 👀

~ Closing Remarks ~

If you missed out on responding to this survey when it was available, consider subscribing to FEHSurveys. This subreddit serves as a place to organize FE:H-related surveys, make new releases more visible, and make it easier for users to see when surveys are active.

Thanks again to everyone who participated! I hope you find the results interesting, and if there’s anything else you think can be discovered from the data, let me know and I’ll do my best to oblige!
submitted by ShiningSolarSword to FireEmblemHeroes [link] [comments]

Using Deep Learning to Predict Earnings Outcomes

Using Deep Learning to Predict Earnings Outcomes
(Note: if you were following my earlier posts, I wrote a note at the end of this post explaining why I deleted old posts and what changed)
Edit: Can't reply to comments since my account is still flagged as new :\. Thank you everyone for your comments. Edit: Made another post answering questions here.
  • Test data is untouched during training 10:1:1 train:val:test.
  • Yes, I consider it "deep" learning from what I learned at my institution. I use LSTMs at one point in my pipeline, feel free to consider that deep or not.
  • I'll be making daily posts so that people can follow along.
  • Someone mentioned RL, yes I plan on trying that in the future :). This would require a really clever way to encode the current state parameters. Haven't thought about it too much yet.
  • Someone mentioned how companies beat earnings 61% anyway, so my model must be useless right? Well if you look at the confusion matrix you can see I balanced classes before training (with some noise). This means that the data had roughly 50/50 beat/miss and had a 58% test accuracy.
TLDR:
Not financial advice.
  • I created a deep learning algorithm trained on 2015-2019 data to predict whether a company will beat earning estimates.
  • Algorithm has an accuracy of 58%.
  • I need data and suggestions.
  • I’ll be making daily posts for upcoming earnings.
Greetings everyone,
I’m Bunga, an engineering PhD student at well known university. Like many of you, I developed an interest in trading because of the coronavirus. I lost a lot of money by being greedy and uninformed about how to actually trade options. With all the free time I have with my research slowing down because of the virus, I’ve decided to use what I’m good at (being a nerd, data analytics, and machine learning) to help me make trades.
One thing that stuck out to me was how people make bets on earnings reports. As a practitioner of machine learning, we LOVE binary events since the problem can be reduced to a simple binary classification problem. With that being said, I sought out to develop a machine learning algorithm to predict whether a company will beat earnings estimates.
I strongly suggest TO NOT USE THIS AS FINANCIAL ADVICE. Please, I could just be a random guy on the internet making things up, and I could have bugs in my code. Just follow along for some fun and don’t make any trades based off of this information 😊
Things other people have tried:
A few other projects have tried to do this to some extent [1,2,3], but some are not directly predicting the outcome of the earnings report or have a very small sample size of a few companies.
The data
This has been the most challenging part of the project. I’m using data for 4,000 common stocks.
Open, high, low, close, volume stock data is often free and easy to come by. I use stock data during the quarter (Jan 1 – Mar 31 stock data for Q1 for example) in a time series classifier. I also incorporate “background” data from several ETFs to give the algorithm a feel for how the market is doing overall (hopefully this accounts for bull/bear markets when making predictions).
I use sentiment analyses extracted from 10K/10Q documents from the previous quarter as described in [4]. This gets passed to a multilayer perceptron neural network.
Data that I’ve tried and doesn’t work to well:
Scraping 10K/10Q manually for US GAAP fields like Assets, Cash, StockholdersEquity, etc. Either I’m not very good at processing the data or most of the tables are incomplete, this doesn’t work well. However, I recently came across this amazing API [5] which will ameliorate most of these problems, and I plan on incorporating this data sometime this week.
Results
After training on about 34,000 data points, the model achieves a 58% accuracy on the test data. Class 1 is beat earnings, Class 2 is miss earnings.. Scroll to the bottom for the predictions for today’s AMC estimates.

https://preview.redd.it/fqapvx2z1tv41.png?width=875&format=png&auto=webp&s=05ea5cae25ee5689edea334f2814e1fa73aa195d
Future Directions
Things I’m going to try:
  • Financial twitter sentiment data (need data for this)
  • Data on options (ToS apparently has stuff that you can use)
  • Using data closer to the earnings report itself rather than just the data within the quarterly date
A note to the dozen people who were following me before
Thank you so much for the early feedback and following. I had a bug in my code which was replicating datapoints, causing my accuracy to be way higher in reality. I’ve modified some things to make the network only output a single value, and I’ve done a lot of bug fixing.
Predictions for 4/30/20 AMC:
A value closer to 1 means that the company will be more likely to beat earnings estimates. Closer to 0 means the company will be more likely to miss earnings estimates. (People familiar with machine learning will note that neural networks don’t actually output a probability distribution so the values don’t actually represent a confidence).
  • Tkr: AAPL NN: 0.504
  • Tkr: AMZN NN: 0.544
  • Tkr: UAL NN: 0.438
  • Tkr: GILD NN: 0.532
  • Tkr: TNDM NN: 0.488
  • Tkr: X NN: 0.511
  • Tkr: AMGN NN: 0.642
  • Tkr: WDC NN: 0.540
  • Tkr: WHR NN: 0.574
  • Tkr: SYK NN: 0.557
  • Tkr: ZEN NN: 0.580
  • Tkr: MGM NN: 0.452
  • Tkr: ILMN NN: 0.575
  • Tkr: MOH NN: 0.500
  • Tkr: FND NN: 0.542
  • Tkr: TWOU NN: 0.604
  • Tkr: OSIS NN: 0.487
  • Tkr: CXO NN: 0.470
  • Tkr: BLDR NN: 0.465
  • Tkr: CASA NN: 0.568
  • Tkr: COLM NN: 0.537
  • Tkr: COG NN: 0.547
  • Tkr: SGEN NN: 0.486
  • Tkr: FMBI NN: 0.496
  • Tkr: PSA NN: 0.547
  • Tkr: BZH NN: 0.482
  • Tkr: LOCO NN: 0.575
  • Tkr: DLA NN: 0.460
  • Tkr: SSNC NN: 0.524
  • Tkr: SWN NN: 0.476
  • Tkr: RMD NN: 0.499
  • Tkr: VKTX NN: 0.437
  • Tkr: EXPO NN: 0.526
  • Tkr: BL NN: 0.516
  • Tkr: FTV NN: 0.498
  • Tkr: ASGN NN: 0.593
  • Tkr: KNSL NN: 0.538
  • Tkr: RSG NN: 0.594
  • Tkr: EBS NN: 0.483
  • Tkr: PRAH NN: 0.598
  • Tkr: RRC NN: 0.472
  • Tkr: ICBK NN: 0.514
  • Tkr: LPLA NN: 0.597
  • Tkr: WK NN: 0.630
  • Tkr: ATUS NN: 0.530
  • Tkr: FBHS NN: 0.587
  • Tkr: SWI NN: 0.521
  • Tkr: TRUP NN: 0.570
  • Tkr: AJG NN: 0.509
  • Tkr: BAND NN: 0.618
  • Tkr: DCO NN: 0.514
  • Tkr: BRKS NN: 0.490
  • Tkr: BY NN: 0.502
  • Tkr: CUZ NN: 0.477
  • Tkr: EMN NN: 0.532
  • Tkr: VICI NN: 0.310
  • Tkr: GLPI NN: 0.371
  • Tkr: MTZ NN: 0.514
  • Tkr: SEM NN: 0.405
  • Tkr: SPSC NN: 0.465
[1] https://towardsdatascience.com/forecasting-earning-surprises-with-machine-learning-68b2f2318936
[2] https://zicklin.baruch.cuny.edu/wp-content/uploads/sites/10/2019/12/Improving-Earnings-Predictions-with-Machine-Learning-Hunt-Myers-Myers.pdf
[3] https://www.euclidean.com/better-than-human-forecasts
[4] https://cran.r-project.org/web/packages/edgaedgar.pdf.
[5] https://financialmodelingprep.com/developedocs/
submitted by xXx_Bunga_xXx to wallstreetbets [link] [comments]

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