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Online Forex Trading in Dubai with 50+ currency pairs. Start trading the most liquid market with our free demo trading account. Currency Trading at Alfa Financial

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Kuberfx is an online trading platform that provides Kean ideas of forex currency trading including forex demo accounts, Start currency trading online with kuberfx India

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Currency Trading Basics: 3 Reasons to Try a Forex Demo Account

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Welcome to /r/RocketLeague! | Newbies/Free2Play/Beginners Help Thread

Hello there!
Welcome to /RocketLeague and welcome to the game! This game will give you an endless amount of enjoyment and we are thrilled to have you join our community!
Be sure to read the subreddit rules of this and any subreddits linked below and please remember that the search bar is your friend and will help you find a number of topics which have been discussed previously on the subreddit.
Here you will find some useful information and resources to help you get started with the game and all the aspects to it. If there is anything you feel is missing from here, please let us know in reply to the sticky comment below and we can add it in if deemed necessary.
Please feel free to ask any further questions in the comments below and the community can assist you in answering them.

News/Updates etc.

Firstly, you are in the right place, all news/updates related to Rocket League will be posted here on the official subreddit in which you will find a large number of passionate Rocket League fans discussing the topics. You may also wish to stay tuned over at for the news there too and can join the official Discord at

Getting Started

After I had drafted this post markednl came out with an excellent illustrated post for beginners getting started on their Rocket League journey so we highly encourage you to check out his post at the link below:
As a new player, when you first launch the game, you’ll be greeted with an interactive intro to show you the basic controls, however, there is also a Tutorial in the Training menu (Play>Training>Tutorial) and this is something that is highly recommended that you complete prior to your first games.
The game was developed with a controller in-mind so it is recommended that you use one, however, it is not an essential, it is entirely possible to reach the top level of the game using Keyboard/Mouse as well.
There is an option to play the game Single-Player vs AI but the game is at its most fun when played online.
There are various modes you can play online and we would encourage you to try all of these modes out.

Useful links to get you started on your journey:

Useful Videos


There are also a number of other communities and useful links in the SidebaCommunity Info section of this subreddit so be sure to check those out too.

Linking your Epic Account and Rocket League Account

You will need to create an Epic account to play Rocket League. However, if you do not wish to create an Epic account with your personal details, you may create a hollow Epic account without any personal information specifically for Rocket League with a simple click of the Create Account button within the game.
NOTE: When you start RL the first time after this update and you would like to connect your main epic games account with your main steam account, you should do it instantly when you start the game.
If you fail to link the correct account and create this "hollow" account, you will need to upgrade that account to a main account by verifying a different email address to that of your main Epic account. You will then be able to remove the Steam account from your Epic account and then login in with your main Epic account and perform the link again.

Cosmetic Items

There are a few ways to obtain cosmetic items in-game, all of these items are purely cosmetic and provide no mechanical advantage over others. You can obtain these items in the shop, through Rocket Pass, blueprints, tournament credits and events
The game has its own in-game currency called “Credits” which you can use to purchase items either in the shop or by crafting blueprints, purchase “Rocket Pass” (Rocket League’s progressive rewards) or you can trade these credits with other players for items (more info on trading further down the post).
  • The Item Shop is a rotating shop which refreshes every 24 hours with new items. There is also an Esports shop which contains Esports team items that works in the same way
  • Blueprints are post-game drop items which you can craft by spending credits
  • Rocket Pass is a progression system which gives you a new item every time you rank up, after Tier 70, you start to get painted/special edition variants of items
  • Tournament Credits you can obtain Tournament Credits by participating in official Rocket League tournaments and these can be redeemed to unlock RANDOM items from the Tournament prizes.
  • Occasionally, we have official Rocket League Events in which you are awarded a new in-game currency that drops after matches and you can use these to redeem cosmetic items too.


There are various cars to choose from in the game, all the cars fit within a certain hitbox preset. Information on these presets can be found at the links below:


The list of in-game mechanics in the game is an ever-expanding list that would be far too long to list here so thankfully, someone else has done this for us. See this link for a full list of mechanics with descriptions and tutorials

Matchmaking and Ranking System

Rocket League uses a numerical value called MMR to determine your rank, this increases/decreases with wins/losses. You can find more information on MMRanking System at the links below.


There is a very booming trading community in this game and we would encourage you to check out the /RocketLeagueExchange subreddit for all things trading related. There are price-checking threads available there too to see what the market value is.
Be very careful when trading as there are people who will try to steal your items It is always recommended that you use a middleman for high value trades for extra security.
While on the topic of scammers, be sure to NEVER enter your Steam/Xbox/PS4/Switch/Epic credentials in any links you are sent by other people. This is a common phishing technique used to steal your items. Check out this link for more information on the scams


This game has an absolutely excellent Esport that is probably the most entertaining Esport to watch for a non-playing viewer due to the nature of how easy the concept of the game is to grasp.
We highly recommend checking out /RocketLeagueEsports for a wonderful community of fans of the Esport.
Many of the Esport events, including the flagship RLCS event, allow you to obtain Fan Rewards which you can get by clicking that link and linking your in-game account to your Twitch account. Then you just need to be watching the streams at and you will receive the drops at random.
Esports resources:


There are a number of Rocket League coaches out there in which you can find both paid and free options.
Paid professional coaching can be found at
However, free amateur coaching can be received at:

Content Creators

A list of Rocket League Content Creators with useful information and fun videos.
  • JonSandman - Current No. 1 Rocket League YouTuber in Subscriber count, lots of fun videos
  • Musty - Great Content Creator and long-term member of the subreddit. Lots more fun Rocket League videos
  • SunlessKhan - Creator of the “Why you suck at Rocket League” series with lots of useful and fun videos
  • Lethamyr - Former Rocket League pro player, creates excellent custom maps/game modes.
  • Mertzy - More fun Rocket League content
  • Squishy Muffinz - Professional Rocket League Player with gameplay content
  • Rizzo - Professional Rocket League player with gameplay content -
  • Fluump - Lots of informative Rocket League videos containing tutorials and information about certain aspects of the game
  • JohnnyBoi - Esports show matches (particularly 1v1s) and other useful and informative content.
  • Linkuru - Lots of fun and informative videos too
  • Wayton Pilkin - Lots of great tutorial content and some fun videos too
  • Rocket Sledge - Another long-standing member of the subreddit with some great unique videos and is known for a very Demo-heavy playstyle.
  • CBell - Lots of useful tutorial info.
  • Thanovic - Lots of tutorial content
  • Virge - Professional Esports coach with useful tutorials
  • Rocket Science a.k.a. HalfwayDead - In depth experiments/testing of the games physics engine etc.
  • Kevpert - Mechanics tutorials
  • SubParButInHD - Lots of Rocket League content including Esports content and tutorials.
  • FlowStateGG - Useful Rocket League tutorial content from Tennis Pro/Sports psychology coach
  • Wubdor - Fun Rocket League parody songs
  • Me aka Goldfish - Informative/tutorial content
submitted by ryangoldfish5 to RocketLeague [link] [comments]

For those individuals who have achieved the ability able to live off trading full time what are some good tips.

Here are some tips or thoughts i had that applied to my own experiences. I made every mistake and did every stupid thing you can think off. So if any of these ideas help you not be stupid like me that's great :)

Most traders start with the idea to get rich quick
40% Trade for only one month
80% quit within the first two years
1% of traders can profit net of fees.
That doesn't mean you cant succeed, there are an awful lot of traders coming and going but just be prepared to get serious and put in the hard work necessary.

These are just some thoughts and opinions of mine that have helped me
Let me know any of your tips or if you would like more of my thoughts on Psychology, technical etc ask and ill see if i have anything useful to say.
submitted by Jankaruteru to Forex [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking


Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar

Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)


It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
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]

How do people...

Forex has popped up on my radar on/off over the years but I did minimal research on it. I do keep up with economics and feel that I understand the whys/whens/hows on when things happen... I just never looked into Forex.
Recently Forex has popped up on my radar again... I have a few friends in Japan and a few more here in the states that trade. I've started researching, consuming as much information, studying chart-to-news-comparisons/trends/strategies/etc. I've started the Babypips course. I've also been playing with a demo account.
I've seen horror stories of people jumping in thinking it's a get-rich thing. Even with little research on it, it's easy and obvious to realize you can't make money overnight. Just from 2 weeks of diving in, I'm not even thinking about the make money side of it. The way the currency markets move fascinates me.
It seems crazy to me that people put their money in without at least 6 months of research and practicing on a demo account. In the future when I do put money in... do people not know about risk management? Risk management is screamed from the rooftops in this community/industry. Of course, you aren't going to win every trade... so don't put half to all of your account toward one trade.
I keep seeing/hearing the word mentor come up. Seems weird to me. Even one of my trader friends has a mentor. The other doesn't. Why would anyone trust any of these flashy IG/YT people? I'm sure some of them are fine but it already seems like there are a ton of things you need to learn on your own if you're interested in getting involved in these markets.
submitted by spid3rfly to Forex [link] [comments]

Day #2 of my Forex Journey

Real quick before I get into my next steps of my FX Journey, id like to say thank you to all the people who commented on my last post! All of the tips I got were really eye-opening and introduced me to different parts of FX trading that I didn't even know existed. So thank you so much, and I hope to get more interesting feedback from you guys in the future! Also Im going to probably change my writing frequency from daily to biweekly. I think writing about every little trade is not going to be as beneficial to me as writing about my overall progress at certain points throughout the week.
I started this trading day out by learning up on order flow. A whole bunch of you guys suggested really interesting youtubers to watch, and I started with Mr. pip's series on order flow. After I finished up watching a few of his videos, I started to tweak my trading plan so that I could get in some chart time. I changed currency pair from EUUSD to the AUD/USD, the time frame from the 4 hour to the 1 hour, and my indicators from RSI, Stochastic, 2 SMAs and ADX to ATR, RSI, and Ichimoku Kinko Hyo. I also added a little fundamental analysis in my trading plan because I think that I am being far too reliant on my indicators. I planned to check the economic calendar and determine the general trend of the currency pairs that are strongly correlated to the AUD/USD before I began my chart analysis. In addition to all of my analysis, I tried to practice using the techniques I learned in Mr. Pip's videos and analyze the order flow of the chart. Even if my analysis of order flow is wrong, as long as I am getting practice I am learning.
Eventhough I planned to use today to back-test indicators and find a solid new plan, I did not have enough time. I ended up getting on my demo account really late in the day, and started to force myself to enter a trade. Destructive habits like this could lead into some massive issues when I eventually get into live trading. To combat this harmful attitude specifically, I will restrict myself to trading on certain parts of the day (for example session overlaps, news releases, and earlier in the day). Despite this mistake I still continued with my trading strategy. I calculated all the currency correlations for AUS/USD using the past weeks economic data, and set my indicators in place. After checking the overall trend of the most strongly correlated pairs (Positive: EUUSD, GPB/USD, Negative: USD/CAD, USD/JPY) I started to analyze the order flow. All the correlated currencies, except for EUUSD, indicated that the AUD/USD would fall, while my order flow analysis indicated the opposite. Seeing as though I am extremely new to order flow, I dismissed this analysis, and ended up forcing a trade on the AUD/USD going short when my indicators seemed to line up correctly. I learned from last time that I should not alter or close my trade purely based on emotion, and to just wait till the market hits my stop loss or take profit. I included a trailing stop loss of 60 pips this time, but I have no evidence to base that number range on. The trade is currently open and I am down about 30 pips.
Although I am not labeling this trade as a loser yet, I can definitely see a lot of holes in my trading strategy. The most obvious mistake in my eyes right now is my use of indicators. Currently all my trades are purely based on what my indicators say, and since I do not have any back-tested data to support the credibility of my indicators, it feels a lot like strategic gambling. Another issue is that I feel far too reliant on indicators alone. I think that if I can find ways to include various types of analysis efficiently and evenly in my trading plan I will become a much more skillful and well-rounded trader. In order to combat these two issues I will begin forming various types of trading strategies this weekend and back-test them all extensively. I also plan on researching more on price action, order flow, and Naked Forex.
Once again any and all feedback is welcome. I am just beginning Forex, but it had been a huge passion of mine and I don't plan on stopping anytime soon.
submitted by Aman-1127 to Forex [link] [comments]

Starting again :-(

I am new to forex and am having a rough time with inconsistent results. I traded on a demo account for a while and did really well, so I switched to a live account. I’m not really sure what happened but I have lost 70% of my account thro bad luck, poor risk management and some silly errors. I never expected to be buying a Lamborghini, this isn’t about getting rich for me - I just enjoy learning about it and am far more interested in my %win rate than the dollars (although that would be nice one day). That being said, now that I have lost real money I am feeling desperate to turn this around and making emotional trades.
I know what mistakes I have been making - I even have checklists next to my screen to stop me making them. I still accidentally placed a trade today against the underlying trend (against my rule) without even realizing. I’m really frustrated and upset. I don’t understand why I changed so drastically when I went live.
I’m considering going back to paper trading for a few months, but starting with all new accounts. I keep seeing the losses and chasing trades, so maybe starting again will help? Any other ideas to reset? I think I will stick to one pair - what pair is the best to trade? Is it best to stick to a pair that has the currency from your country in it? Do you only trade one frame frame? I was trading off the hourly.
Con someone reassure me that this is even possible to do consistently because everyone I know is so negative about day trading even tho them know nothing about it.
submitted by higgeldypiggeldy1 to Forex [link] [comments]

CHARACTER REPORT: Gorgantula, lvl 93 Shockwave Druid (Solo Dclone Video)

Hey everyone. Here's another 'report' on my Shockwave Druid, Gorgantula. Like my previous report, this isn't so much a guide as a first hand account of what I did, what works and what doesn't. If you want to jump straight to videos and armory here are the links.


Gorgantula was created to become my UbeDclone killer. I had never done this content on vanilla and was excited to build a character dedicated to boss killing. I already had my orb/hydra sorc for key running and boss runs, and a poison nova necro for mapping. This gave me the currency I needed to start trading for druid gear.
Shockwave is an alright way to level up. I didn't bother doing summons or any other 'leveling build'. I went through normal wearing Isenharts (lol) and much of nightmare and hell using an Insight Polearm. The cool thing about Shockwave Druid is that it isn't very gear dependent. You want faster cast rate and mana regen. Your damage mostly comes from +skills, not your weapon or specific gear. Your weapons damage is largely irrelevant to shockwave, you'll only get 25% of it added to shockwave, which is tiny.


Shockwave is a powerful, but clumsy skill. It can be hard to aim sometimes. It's range isn't that big. It will not clear maps quickly. I've taken Gorgantula through all of the maps solo, just to see what it's like. It's alright, you've got a mountain of HP and big damage, but you clear slow. With decent gear, there is no risk of death, but I can't recommend this as a mapping build.
The damage calculation on shockwave is bugged and will not display properly on your character sheet. I don't really have an estimate of how much damage I'm doing, but I one-shot nearly all monsters. Bosses drop pretty quickly too. In PVP, I would generally explode most other characters in one or two shockwaves.
I only hit the 65% FCR breakpoint. The final breakpoint is 100, but I don't know if that's worth it.


Skill wise, this is really simple. Max shockwave first, then the rest. Oak Sage and Heart of the Wolverine are pretty optional. They won't stay alive in boss fights. But when mapping with other people, the Oak Sage will be greatly appreciated. I never got around to trying out hurricane, but i think that's probably an option for your final points instead of summons.


This was my final gear setup, you can see it in the solo dclone video. But I killed dclone with gear much worse than this early on. I used random 10 fcr rings, some crafted blood rings. I used a spirit shield on the first dclone kill. I used weird things in my jalals like Lo's and Bers. My amulet was a rare druid amulet, nothing special. I was able to do my first dclone kill at lvl 87. Before ladder ended, I think I killed dclone solo about 15 times. I messed up three times too and died.
The huge change that stopped those failures was the Amn x4 in the Headstriker. Shockwave gives a decent AOE with life steal on every enemy hit. This is much better than the melee splash radius. So long as you keep positioned well, your lifesteal will keep you near max hp. Towards the end of the solodclone video, you'll see some moments where I don't have many enemies in my shockwave AOE and my life regen drops. I then reposition and my hp shoots back to full.
On my first dclone attempt and kill, I had 3k life and used many many many full juvs. On my last dclone kill with my final gear, I had 6k life and used only half of my belt. So again, good gear makes it easier, but you can do it with weaker set ups and more juvs.


Because this build isn't highly gear dependent, has huge damage and huge life, you can easily do Hell Travincal with nearly any gear. I'd go in with Ali Baba, Chance Guards, Gold Wrap, Dwarf Star x2 and could easily kill them without using any healing potions. It'd take me about 15 minutes or so to maxe out my gold stash of 2.5 million gold. This is great for gambling! Gambling itself isn't that great, but if you're making crafted items (like caster amulets/boots, blood rings/amulets, safety amulets) this is a great way to get the high iLVL bases you want. This was the only worthwhile 'dual purpose' I found for my shockwave druid, aside from boss killing.


I tried lots of stuff. Here's a short list of stuff that isn't worth it.


I'm very satisfied with how Gorgantula performed. I joined PoD too late in the season to really turn him into a money making machine, but the dozen annihilus and hellfire torches I sold fueled buying more gear for my sorc, necro and perfecting this shockwave build. I wish he had been better at mapping, but even creating an alternative set of 'mapping gear' didn't solve that problem. If you want a solo boss killer for Dclone and Ubers, Shockwave is great and fairly economical. It isn't nearly as expensive as some other solo dclone builds I've seen, and it' is completely reliable. If you don't want to do those fights repeatedly, don't play shockwave!


Big thanks to Snugs. I saw him doing Ubers with his shockwave bear when I started playing PoD and I knew I had to try it out myself. He answered lots of questions on what works and what doesn't. Big thanks to Capn Demo, he's the one who gave me Ber runes for a headstriker experiment, sorry that didn't work out, lol! Big thanks to Alliz, Dadplaysgames, Cameroonski, Exiliate, R3f1x, Oliverius, Hyrule13, DwigtShrut, Mackanmusic, Bksau5 and many others who hooked me up with trades, good deals, free gear, good advice and the motivation to keep going. BIG LOVE.
submitted by ZardozSpeaksHS to pathofdiablo [link] [comments]

Dragonchain Great Reddit Scaling Bake-Off Public Proposal

Dragonchain Great Reddit Scaling Bake-Off Public Proposal

Dragonchain Public Proposal TL;DR:

Dragonchain has demonstrated twice Reddit’s entire total daily volume (votes, comments, and posts per Reddit 2019 Year in Review) in a 24-hour demo on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. At the time, in January 2020, the entire cost of the demo was approximately $25K on a single system (transaction fees locked at $0.0001/txn). With current fees (lowest fee $0.0000025/txn), this would cost as little as $625.
Watch Joe walk through the entire proposal and answer questions on YouTube.
This proposal is also available on the Dragonchain blog.

Hello Reddit and Ethereum community!

I’m Joe Roets, Founder & CEO of Dragonchain. When the team and I first heard about The Great Reddit Scaling Bake-Off we were intrigued. We believe we have the solutions Reddit seeks for its community points system and we have them at scale.
For your consideration, we have submitted our proposal below. The team at Dragonchain and I welcome and look forward to your technical questions, philosophical feedback, and fair criticism, to build a scaling solution for Reddit that will empower its users. Because our architecture is unlike other blockchain platforms out there today, we expect to receive many questions while people try to grasp our project. I will answer all questions here in this thread on Reddit, and I've answered some questions in the stream on YouTube.
We have seen good discussions so far in the competition. We hope that Reddit’s scaling solution will emerge from The Great Reddit Scaling Bake-Off and that Reddit will have great success with the implementation.

Executive summary

Dragonchain is a robust open source hybrid blockchain platform that has proven to withstand the passing of time since our inception in 2014. We have continued to evolve to harness the scalability of private nodes, yet take full advantage of the security of public decentralized networks, like Ethereum. We have a live, operational, and fully functional Interchain network integrating Bitcoin, Ethereum, Ethereum Classic, and ~700 independent Dragonchain nodes. Every transaction is secured to Ethereum, Bitcoin, and Ethereum Classic. Transactions are immediately usable on chain, and the first decentralization is seen within 20 seconds on Dragon Net. Security increases further to public networks ETH, BTC, and ETC within 10 minutes to 2 hours. Smart contracts can be written in any executable language, offering full freedom to existing developers. We invite any developer to watch the demo, play with our SDK’s, review open source code, and to help us move forward. Dragonchain specializes in scalable loyalty & rewards solutions and has built a decentralized social network on chain, with very affordable transaction costs. This experience can be combined with the insights Reddit and the Ethereum community have gained in the past couple of months to roll out the solution at a rapid pace.

Response and PoC

In The Great Reddit Scaling Bake-Off post, Reddit has asked for a series of demonstrations, requirements, and other considerations. In this section, we will attempt to answer all of these requests.

Live Demo

A live proof of concept showing hundreds of thousands of transactions
On Jan 7, 2020, Dragonchain hosted a 24-hour live demonstration during which a quarter of a billion (250 million+) transactions executed fully on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. This means that every single transaction is secured by, and traceable to these networks. An attack on this system would require a simultaneous attack on all of the Interchained networks.
24 hours in 4 minutes (YouTube):
24 hours in 4 minutes
The demonstration was of a single business system, and any user is able to scale this further, by running multiple systems simultaneously. Our goals for the event were to demonstrate a consistent capacity greater than that of Visa over an extended time period.
Tooling to reproduce our demo is available here:

Source Code

Source code (for on & off-chain components as well tooling used for the PoC). The source code does not have to be shared publicly, but if Reddit decides to use a particular solution it will need to be shared with Reddit at some point.


How it works & scales

Architectural Scaling

Dragonchain’s architecture attacks the scalability issue from multiple angles. Dragonchain is a hybrid blockchain platform, wherein every transaction is protected on a business node to the requirements of that business or purpose. A business node may be held completely private or may be exposed or replicated to any level of exposure desired.
Every node has its own blockchain and is independently scalable. Dragonchain established Context Based Verification as its consensus model. Every transaction is immediately usable on a trust basis, and in time is provable to an increasing level of decentralized consensus. A transaction will have a level of decentralization to independently owned and deployed Dragonchain nodes (~700 nodes) within seconds, and full decentralization to BTC and ETH within minutes or hours. Level 5 nodes (Interchain nodes) function to secure all transactions to public or otherwise external chains such as Bitcoin and Ethereum. These nodes scale the system by aggregating multiple blocks into a single Interchain transaction on a cadence. This timing is configurable based upon average fees for each respective chain. For detailed information about Dragonchain’s architecture, and Context Based Verification, please refer to the Dragonchain Architecture Document.

Economic Scaling

An interesting feature of Dragonchain’s network consensus is its economics and scarcity model. Since Dragon Net nodes (L2-L4) are independent staking nodes, deployment to cloud platforms would allow any of these nodes to scale to take on a large percentage of the verification work. This is great for scalability, but not good for the economy, because there is no scarcity, and pricing would develop a downward spiral and result in fewer verification nodes. For this reason, Dragonchain uses TIME as scarcity.
TIME is calculated as the number of Dragons held, multiplied by the number of days held. TIME influences the user’s access to features within the Dragonchain ecosystem. It takes into account both the Dragon balance and length of time each Dragon is held. TIME is staked by users against every verification node and dictates how much of the transaction fees are awarded to each participating node for every block.
TIME also dictates the transaction fee itself for the business node. TIME is staked against a business node to set a deterministic transaction fee level (see transaction fee table below in Cost section). This is very interesting in a discussion about scaling because it guarantees independence for business implementation. No matter how much traffic appears on the entire network, a business is guaranteed to not see an increased transaction fee rate.

Scaled Deployment

Dragonchain uses Docker and Kubernetes to allow the use of best practices traditional system scaling. Dragonchain offers managed nodes with an easy to use web based console interface. The user may also deploy a Dragonchain node within their own datacenter or favorite cloud platform. Users have deployed Dragonchain nodes on-prem on Amazon AWS, Google Cloud, MS Azure, and other hosting platforms around the world. Any executable code, anything you can write, can be written into a smart contract. This flexibility is what allows us to say that developers with no blockchain experience can use any code language to access the benefits of blockchain. Customers have used NodeJS, Python, Java, and even BASH shell script to write smart contracts on Dragonchain.
With Docker containers, we achieve better separation of concerns, faster deployment, higher reliability, and lower response times.
We chose Kubernetes for its self-healing features, ability to run multiple services on one server, and its large and thriving development community. It is resilient, scalable, and automated. OpenFaaS allows us to package smart contracts as Docker images for easy deployment.
Contract deployment time is now bounded only by the size of the Docker image being deployed but remains fast even for reasonably large images. We also take advantage of Docker’s flexibility and its ability to support any language that can run on x86 architecture. Any image, public or private, can be run as a smart contract using Dragonchain.

Flexibility in Scaling

Dragonchain’s architecture considers interoperability and integration as key features. From inception, we had a goal to increase adoption via integration with real business use cases and traditional systems.
We envision the ability for Reddit, in the future, to be able to integrate alternate content storage platforms or other financial services along with the token.
  • LBRY - To allow users to deploy content natively to LBRY
  • MakerDAO to allow users to lend small amounts backed by their Reddit community points.
  • STORJ/SIA to allow decentralized on chain storage of portions of content. These integrations or any other are relatively easy to integrate on Dragonchain with an Interchain implementation.


Cost estimates (on-chain and off-chain) For the purpose of this proposal, we assume that all transactions are on chain (posts, replies, and votes).
On the Dragonchain network, transaction costs are deterministic/predictable. By staking TIME on the business node (as described above) Reddit can reduce transaction costs to as low as $0.0000025 per transaction.
Dragonchain Fees Table

Getting Started

How to run it
Building on Dragonchain is simple and requires no blockchain experience. Spin up a business node (L1) in our managed environment (AWS), run it in your own cloud environment, or on-prem in your own datacenter. Clear documentation will walk you through the steps of spinning up your first Dragonchain Level 1 Business node.
Getting started is easy...
  1. Download Dragonchain’s dctl
  2. Input three commands into a terminal
  3. Build an image
  4. Run it
More information can be found in our Get started documents.

Dragonchain is an open source hybrid platform. Through Dragon Net, each chain combines the power of a public blockchain (like Ethereum) with the privacy of a private blockchain.
Dragonchain organizes its network into five separate levels. A Level 1, or business node, is a totally private blockchain only accessible through the use of public/private keypairs. All business logic, including smart contracts, can be executed on this node directly and added to the chain.
After creating a block, the Level 1 business node broadcasts a version stripped of sensitive private data to Dragon Net. Three Level 2 Validating nodes validate the transaction based on guidelines determined from the business. A Level 3 Diversity node checks that the level 2 nodes are from a diverse array of locations. A Level 4 Notary node, hosted by a KYC partner, then signs the validation record received from the Level 3 node. The transaction hash is ledgered to the Level 5 public chain to take advantage of the hash power of massive public networks.
Dragon Net can be thought of as a “blockchain of blockchains”, where every level is a complete private blockchain. Because an L1 can send to multiple nodes on a single level, proof of existence is distributed among many places in the network. Eventually, proof of existence reaches level 5 and is published on a public network.

API Documentation

APIs (on chain & off)

SDK Source

Nobody’s Perfect

Known issues or tradeoffs
  • Dragonchain is open source and even though the platform is easy enough for developers to code in any language they are comfortable with, we do not have so large a developer community as Ethereum. We would like to see the Ethereum developer community (and any other communities) become familiar with our SDK’s, our solutions, and our platform, to unlock the full potential of our Ethereum Interchain. Long ago we decided to prioritize both Bitcoin and Ethereum Interchains. We envision an ecosystem that encompasses different projects to give developers the ability to take full advantage of all the opportunities blockchain offers to create decentralized solutions not only for Reddit but for all of our current platforms and systems. We believe that together we will take the adoption of blockchain further. We currently have additional Interchain with Ethereum Classic. We look forward to Interchain with other blockchains in the future. We invite all blockchains projects who believe in decentralization and security to Interchain with Dragonchain.
  • While we only have 700 nodes compared to 8,000 Ethereum and 10,000 Bitcoin nodes. We harness those 18,000 nodes to scale to extremely high levels of security. See Dragonchain metrics.
  • Some may consider the centralization of Dragonchain’s business nodes as an issue at first glance, however, the model is by design to protect business data. We do not consider this a drawback as these nodes can make any, none, or all data public. Depending upon the implementation, every subreddit could have control of its own business node, for potential business and enterprise offerings, bringing new alternative revenue streams to Reddit.

Costs and resources

Summary of cost & resource information for both on-chain & off-chain components used in the PoC, as well as cost & resource estimates for further scaling. If your PoC is not on mainnet, make note of any mainnet caveats (such as congestion issues).
Every transaction on the PoC system had a transaction fee of $0.0001 (one-hundredth of a cent USD). At 256MM transactions, the demo cost $25,600. With current operational fees, the same demonstration would cost $640 USD.
For the demonstration, to achieve throughput to mimic a worldwide payments network, we modeled several clients in AWS and 4-5 business nodes to handle the traffic. The business nodes were tuned to handle higher throughput by adjusting memory and machine footprint on AWS. This flexibility is valuable to implementing a system such as envisioned by Reddit. Given that Reddit’s daily traffic (posts, replies, and votes) is less than half that of our demo, we would expect that the entire Reddit system could be handled on 2-5 business nodes using right-sized containers on AWS or similar environments.
Verification was accomplished on the operational Dragon Net network with over 700 independently owned verification nodes running around the world at no cost to the business other than paid transaction fees.



This PoC should scale to the numbers below with minimal costs (both on & off-chain). There should also be a clear path to supporting hundreds of millions of users.
Over a 5 day period, your scaling PoC should be able to handle:
*100,000 point claims (minting & distributing points) *25,000 subscriptions *75,000 one-off points burning *100,000 transfers
During Dragonchain’s 24 hour demo, the above required numbers were reached within the first few minutes.
Reddit’s total activity is 9000% more than Ethereum’s total transaction level. Even if you do not include votes, it is still 700% more than Ethereum’s current volume. Dragonchain has demonstrated that it can handle 250 million transactions a day, and it’s architecture allows for multiple systems to work at that level simultaneously. In our PoC, we demonstrate double the full capacity of Reddit, and every transaction was proven all the way to Bitcoin and Ethereum.
Reddit Scaling on Ethereum


Solutions should not depend on any single third-party provider. We prefer solutions that do not depend on specific entities such as Reddit or another provider, and solutions with no single point of control or failure in off-chain components but recognize there are numerous trade-offs to consider
Dragonchain’s architecture calls for a hybrid approach. Private business nodes hold the sensitive data while the validation and verification of transactions for the business are decentralized within seconds and secured to public blockchains within 10 minutes to 2 hours. Nodes could potentially be controlled by owners of individual subreddits for more organic decentralization.
  • Billing is currently centralized - there is a path to federation and decentralization of a scaled billing solution.
  • Operational multi-cloud
  • Operational on-premises capabilities
  • Operational deployment to any datacenter
  • Over 700 independent Community Verification Nodes with proof of ownership
  • Operational Interchain (Interoperable to Bitcoin, Ethereum, and Ethereum Classic, open to more)

Usability Scaling solutions should have a simple end user experience.

Users shouldn't have to maintain any extra state/proofs, regularly monitor activity, keep track of extra keys, or sign anything other than their normal transactions
Dragonchain and its customers have demonstrated extraordinary usability as a feature in many applications, where users do not need to know that the system is backed by a live blockchain. Lyceum is one of these examples, where the progress of academy courses is being tracked, and successful completion of courses is rewarded with certificates on chain. Our @Save_The_Tweet bot is popular on Twitter. When used with one of the following hashtags - #please, #blockchain, #ThankYou, or #eternalize the tweet is saved through Eternal to multiple blockchains. A proof report is available for future reference. Other examples in use are DEN, our decentralized social media platform, and our console, where users can track their node rewards, view their TIME, and operate a business node.

Transactions complete in a reasonable amount of time (seconds or minutes, not hours or days)
All transactions are immediately usable on chain by the system. A transaction begins the path to decentralization at the conclusion of a 5-second block when it gets distributed across 5 separate community run nodes. Full decentralization occurs within 10 minutes to 2 hours depending on which interchain (Bitcoin, Ethereum, or Ethereum Classic) the transaction hits first. Within approximately 2 hours, the combined hash power of all interchained blockchains secures the transaction.

Free to use for end users (no gas fees, or fixed/minimal fees that Reddit can pay on their behalf)
With transaction pricing as low as $0.0000025 per transaction, it may be considered reasonable for Reddit to cover transaction fees for users.
All of Reddit's Transactions on Blockchain (month)
Community points can be earned by users and distributed directly to their Reddit account in batch (as per Reddit minting plan), and allow users to withdraw rewards to their Ethereum wallet whenever they wish. Withdrawal fees can be paid by either user or Reddit. This model has been operating inside the Dragonchain system since 2018, and many security and financial compliance features can be optionally added. We feel that this capability greatly enhances user experience because it is seamless to a regular user without cryptocurrency experience, yet flexible to a tech savvy user. With regard to currency or token transactions, these would occur on the Reddit network, verified to BTC and ETH. These transactions would incur the $0.0000025 transaction fee. To estimate this fee we use the monthly active Reddit users statista with a 60% adoption rate and an estimated 10 transactions per month average resulting in an approximate $720 cost across the system. Reddit could feasibly incur all associated internal network charges (mining/minting, transfer, burn) as these are very low and controllable fees.
Reddit Internal Token Transaction Fees

Reddit Ethereum Token Transaction Fees
When we consider further the Ethereum fees that might be incurred, we have a few choices for a solution.
  1. Offload all Ethereum transaction fees (user withdrawals) to interested users as they wish to withdraw tokens for external use or sale.
  2. Cover Ethereum transaction fees by aggregating them on a timed schedule. Users would request withdrawal (from Reddit or individual subreddits), and they would be transacted on the Ethereum network every hour (or some other schedule).
  3. In a combination of the above, customers could cover aggregated fees.
  4. Integrate with alternate Ethereum roll up solutions or other proposals to aggregate minting and distribution transactions onto Ethereum.

Bonus Points

Users should be able to view their balances & transactions via a blockchain explorer-style interface
From interfaces for users who have no knowledge of blockchain technology to users who are well versed in blockchain terms such as those present in a typical block explorer, a system powered by Dragonchain has flexibility on how to provide balances and transaction data to users. Transactions can be made viewable in an Eternal Proof Report, which displays raw data along with TIME staking information and traceability all the way to Bitcoin, Ethereum, and every other Interchained network. The report shows fields such as transaction ID, timestamp, block ID, multiple verifications, and Interchain proof. See example here.
Node payouts within the Dragonchain console are listed in chronological order and can be further seen in either Dragons or USD. See example here.
In our social media platform, Dragon Den, users can see, in real-time, their NRG and MTR balances. See example here.
A new influencer app powered by Dragonchain, Raiinmaker, breaks down data into a user friendly interface that shows coin portfolio, redeemed rewards, and social scores per campaign. See example here.

Exiting is fast & simple
Withdrawing funds on Dragonchain’s console requires three clicks, however, withdrawal scenarios with more enhanced security features per Reddit’s discretion are obtainable.

Interoperability Compatibility with third party apps (wallets/contracts/etc) is necessary.
Proven interoperability at scale that surpasses the required specifications. Our entire platform consists of interoperable blockchains connected to each other and traditional systems. APIs are well documented. Third party permissions are possible with a simple smart contract without the end user being aware. No need to learn any specialized proprietary language. Any code base (not subsets) is usable within a Docker container. Interoperable with any blockchain or traditional APIs. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js. Please see our source code and API documentation.

Scaling solutions should be extensible and allow third parties to build on top of it Open source and extensible
APIs should be well documented and stable

Documentation should be clear and complete
For full documentation, explore our docs, SDK’s, Github repo’s, architecture documents, original Disney documentation, and other links or resources provided in this proposal.

Third-party permissionless integrations should be possible & straightforward Smart contracts are Docker based, can be written in any language, use full language (not subsets), and can therefore be integrated with any system including traditional system APIs. Simple is better. Learning an uncommon or proprietary language should not be necessary.
Advanced knowledge of mathematics, cryptography, or L2 scaling should not be required. Compatibility with common utilities & toolchains is expected.
Dragonchain business nodes and smart contracts leverage Docker to allow the use of literally any language or executable code. No proprietary language is necessary. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js.


Bonus Points: Show us how it works. Do you have an idea for a cool new use case for Community Points? Build it!


Community points could be awarded to Reddit users based upon TIME too, whereas the longer someone is part of a subreddit, the more community points someone naturally gained, even if not actively commenting or sharing new posts. A daily login could be required for these community points to be credited. This grants awards to readers too and incentivizes readers to create an account on Reddit if they browse the website often. This concept could also be leveraged to provide some level of reputation based upon duration and consistency of contribution to a community subreddit.

Dragon Den

Dragonchain has already built a social media platform that harnesses community involvement. Dragon Den is a decentralized community built on the Dragonchain blockchain platform. Dragon Den is Dragonchain’s answer to fake news, trolling, and censorship. It incentivizes the creation and evaluation of quality content within communities. It could be described as being a shareholder of a subreddit or Reddit in its entirety. The more your subreddit is thriving, the more rewarding it will be. Den is currently in a public beta and in active development, though the real token economy is not live yet. There are different tokens for various purposes. Two tokens are Lair Ownership Rights (LOR) and Lair Ownership Tokens (LOT). LOT is a non-fungible token for ownership of a specific Lair. LOT will only be created and converted from LOR.
Energy (NRG) and Matter (MTR) work jointly. Your MTR determines how much NRG you receive in a 24-hour period. Providing quality content, or evaluating content will earn MTR.

Security. Users have full ownership & control of their points.
All community points awarded based upon any type of activity or gift, are secured and provable to all Interchain networks (currently BTC, ETH, ETC). Users are free to spend and withdraw their points as they please, depending on the features Reddit wants to bring into production.

Balances and transactions cannot be forged, manipulated, or blocked by Reddit or anyone else
Users can withdraw their balance to their ERC20 wallet, directly through Reddit. Reddit can cover the fees on their behalf, or the user covers this with a portion of their balance.

Users should own their points and be able to get on-chain ERC20 tokens without permission from anyone else
Through our console users can withdraw their ERC20 rewards. This can be achieved on Reddit too. Here is a walkthrough of our console, though this does not show the quick withdrawal functionality, a user can withdraw at any time.

Points should be recoverable to on-chain ERC20 tokens even if all third-parties involved go offline
If necessary, signed transactions from the Reddit system (e.g. Reddit + Subreddit) can be sent to the Ethereum smart contract for minting.

A public, third-party review attesting to the soundness of the design should be available
To our knowledge, at least two large corporations, including a top 3 accounting firm, have conducted positive reviews. These reviews have never been made public, as Dragonchain did not pay or contract for these studies to be released.

Bonus points
Public, third-party implementation review available or in progress
See above

Compatibility with HSMs & hardware wallets
For the purpose of this proposal, all tokenization would be on the Ethereum network using standard token contracts and as such, would be able to leverage all hardware wallet and Ethereum ecosystem services.

Other Considerations

Minting/distributing tokens is not performed by Reddit directly
This operation can be automated by smart contract on Ethereum. Subreddits can if desired have a role to play.

One off point burning, as well as recurring, non-interactive point burning (for subreddit memberships) should be possible and scalable
This is possible and scalable with interaction between Dragonchain Reddit system and Ethereum token contract(s).

Fully open-source solutions are strongly preferred
Dragonchain is fully open source (see section on Disney release after conclusion).


Whether it is today, or in the future, we would like to work together to bring secure flexibility to the highest standards. It is our hope to be considered by Ethereum, Reddit, and other integrative solutions so we may further discuss the possibilities of implementation. In our public demonstration, 256 million transactions were handled in our operational network on chain in 24 hours, for the low cost of $25K, which if run today would cost $625. Dragonchain’s interoperable foundation provides the atmosphere necessary to implement a frictionless community points system. Thank you for your consideration of our proposal. We look forward to working with the community to make something great!

Disney Releases Blockchain Platform as Open Source

The team at Disney created the Disney Private Blockchain Platform. The system was a hybrid interoperable blockchain platform for ledgering and smart contract development geared toward solving problems with blockchain adoption and usability. All objective evaluation would consider the team’s output a success. We released a list of use cases that we explored in some capacity at Disney, and our input on blockchain standardization as part of our participation in the W3C Blockchain Community Group.

Open Source

In 2016, Roets proposed to release the platform as open source to spread the technology outside of Disney, as others within the W3C group were interested in the solutions that had been created inside of Disney.
Following a long process, step by step, the team met requirements for release. Among the requirements, the team had to:
  • Obtain VP support and approval for the release
  • Verify ownership of the software to be released
  • Verify that no proprietary content would be released
  • Convince the organization that there was a value to the open source community
  • Convince the organization that there was a value to Disney
  • Offer the plan for ongoing maintenance of the project outside of Disney
  • Itemize competing projects
  • Verify no conflict of interest
  • Preferred license
  • Change the project name to not use the name Disney, any Disney character, or any other associated IP - proposed Dragonchain - approved
  • Obtain legal approval
  • Approval from corporate, parks, and other business units
  • Approval from multiple Disney patent groups Copyright holder defined by Disney (Disney Connected and Advanced Technologies)
  • Trademark searches conducted for the selected name Dragonchain
  • Obtain IT security approval
  • Manual review of OSS components conducted
  • OWASP Dependency and Vulnerability Check Conducted
  • Obtain technical (software) approval
  • Offer management, process, and financial plans for the maintenance of the project.
  • Meet list of items to be addressed before release
  • Remove all Disney project references and scripts
  • Create a public distribution list for email communications
  • Remove Roets’ direct and internal contact information
  • Create public Slack channel and move from Disney slack channels
  • Create proper labels for issue tracking
  • Rename internal private Github repository
  • Add informative description to Github page
  • Expand with more specific information
  • Add information beyond current “Blockchains are Magic”
  • Add getting started sections and info on cloning/forking the project
  • Add installation details
  • Add uninstall process
  • Add unit, functional, and integration test information
  • Detail how to contribute and get involved
  • Describe the git workflow that the project will use
  • Move to public, non-Disney git repository (Github or Bitbucket)
  • Obtain Disney Open Source Committee approval for release
On top of meeting the above criteria, as part of the process, the maintainer of the project had to receive the codebase on their own personal email and create accounts for maintenance (e.g. Github) with non-Disney accounts. Given the fact that the project spanned multiple business units, Roets was individually responsible for its ongoing maintenance. Because of this, he proposed in the open source application to create a non-profit organization to hold the IP and maintain the project. This was approved by Disney.
The Disney Open Source Committee approved the application known as OSSRELEASE-10, and the code was released on October 2, 2016. Disney decided to not issue a press release.
Original OSSRELASE-10 document

Dragonchain Foundation

The Dragonchain Foundation was created on January 17, 2017.
submitted by j0j0r0 to ethereum [link] [comments]

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

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

OlivierDanvel (Olivier Jean Andre Danvel)

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

You might find those copy-trading related readings interesting:

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

MT4 order size calculator - important bug fix

This is an order size calculator. You can drag and drop horizontal lines to set your SL, TP and entry, and it will give you the # of units or lots. As a disclaimer remember this isn't trading advice and you're responsible for your own trading decisions. Don't jump right into live trading with this without testing it on a demo account first.
Sorry to make a new thread, but I wanted to make sure this got to people's attention in case they were using the old version. It's important you replace the old version of the code with this one or you could get a problem in your calculation, without noticing at first.
An important thing I want to acknowledge is that this is not the only indicator that does this and its not the best. It's just one that I put together with my limited coding experience and that I felt like making available to others. If you know if any other free indicators that do the same thing, then please post about it, especially if it is a better indicator.
If there is a bug then let me know and I will fix it. I did fix some bugs as of 8/20/2020 so it doesn't leave an old object from previous versions on the chart.
There are more instructions in the indicator properties window. Right now it just works for AUD,CAD,CHF,EUR,GBP,JPY,NZD,USD pairs. In the future I might make it more modular so other pairs could be used in the calculation.
Right now it only works for accounts using USD. So if your account currency is other than USD, it won't give the right number. If you have a specific account currency you want me to make it work with, I can. If it gets requested enough I will figure out a way to make it work for any account currency.

//+------------------------------------------------------------------+ //| OrderSizeCalc.mq4 | //| Copyright 2020, MetaQuotes Software Corp. | //| | //+------------------------------------------------------------------+ #property link "" #property version "1.00" #property strict #property indicator_chart_window #property description "Current version only works for accounts using USD. If your home currency is a different currency you need a modification to the code around lines 460-490 where your account currency is factored in." #property description "Move SL line (orange line) by dragging on chart and/or using A/Z keys." #property description "Move entry line (white line) by dragging on chart and/or using D/C keys." #property description "Move TP line (blue line) by dragging on chart and/or using S/X keys." #property description "By default, the indicator uses your MT4 balance as your balance." #property description "If you want to use a different number for account balance," #property description "click the label object and modify the Text property." #define VK_A 0x41 #define VK_B 0x42 #define VK_C 0x43 #define VK_D 0x44 #define VK_E 0x45 #define VK_F 0x46 #define VK_G 0x47 #define VK_H 0x48 #define VK_I 0x49 #define VK_J 0x4A #define VK_K 0x4B #define VK_L 0x4C #define VK_M 0x4D #define VK_N 0x4E #define VK_O 0x4F #define VK_P 0x50 #define VK_Q 0x51 #define VK_R 0x52 #define VK_S 0x53 #define VK_T 0x54 #define VK_U 0x55 #define VK_V 0x56 #define VK_W 0x57 #define VK_X 0x58 #define VK_Y 0x59 #define VK_Z 0x5A #define VK_UP 0x26 #define VK_DOWN 0x28 #define VK_RIGHT 0x27 #define VK_LEFT 0x25 //+------------------------------------------------------------------+ //| Custom indicator initialization function | //+------------------------------------------------------------------+ int OnInit() { if (ObjectFind(0,"Stop Loss")<0){ ObjectCreate(0,"Stop Loss",OBJ_HLINE,0,Time[1],Close[1]-100*_Point); ObjectSetInteger(0,"Stop Loss",OBJPROP_COLOR,clrOrange); ObjectSetInteger(0,"Stop Loss",OBJPROP_SELECTABLE,true); ObjectSetInteger(0,"Stop Loss",OBJPROP_SELECTED,true); ObjectSetInteger(0,"Stop Loss",OBJPROP_WIDTH,3);} if (ObjectFind(0,"Take Profit")<0){ ObjectCreate(0,"Take Profit",OBJ_HLINE,0,Time[1],Close[1]+100*_Point); ObjectSetInteger(0,"Take Profit",OBJPROP_COLOR,clrAqua); ObjectSetInteger(0,"Take Profit",OBJPROP_SELECTABLE,true); ObjectSetInteger(0,"Take Profit",OBJPROP_SELECTED,true); ObjectSetInteger(0,"Take Profit",OBJPROP_WIDTH,3);} color entrylinecolor=clrBlack; if (ChartGetInteger(0,CHART_COLOR_BACKGROUND,0)==clrBlack){entrylinecolor=clrWhite;} if (ObjectFind(0,"Entry")<0){ ObjectCreate(0,"Entry",OBJ_HLINE,0,Time[1],Close[1]); ObjectSetInteger(0,"Entry",OBJPROP_COLOR,entrylinecolor); ObjectSetInteger(0,"Entry",OBJPROP_SELECTABLE,true); ObjectSetInteger(0,"Entry",OBJPROP_SELECTED,true); ObjectSetInteger(0,"Entry",OBJPROP_WIDTH,3); } if (ObjectFind(0,"Account Balance")<0){ double balance = AccountBalance(); ObjectCreate(0, "Account Balance", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Account Balance", OBJPROP_TEXT, DoubleToString(balance,2)); ObjectSetInteger(0, "Account Balance", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Account Balance", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Account Balance",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Account Balance",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Account Balance",OBJPROP_YDISTANCE, 10); ObjectSetInteger(0,"Account Balance",OBJPROP_XDISTANCE, 20);} if (ObjectFind(0,"Account Balance 2")<0){ double balance = AccountBalance(); ObjectCreate(0, "Account Balance 2", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Account Balance 2", OBJPROP_TEXT, "Modify this number to change your balance "); ObjectSetInteger(0, "Account Balance 2", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Account Balance 2", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Account Balance 2",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Account Balance 2",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Account Balance 2",OBJPROP_YDISTANCE, 10); ObjectSetInteger(0,"Account Balance 2",OBJPROP_XDISTANCE, 150);} if (ObjectGetInteger(0,"Percent Risk",OBJPROP_TYPE,0)==OBJ_HLINE){ ObjectDelete(0,"Percent Risk");} if (ObjectFind(0,"Percent Risk")<0){ ObjectCreate(0, "Percent Risk", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Percent Risk", OBJPROP_TEXT, 1.00); ObjectSetInteger(0, "Percent Risk", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Percent Risk", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Percent Risk",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk",OBJPROP_YDISTANCE, 40); ObjectSetInteger(0,"Percent Risk",OBJPROP_XDISTANCE, 50);} if (ObjectFind(0,"Percent Risk 2")<0){ double balance = AccountBalance(); ObjectCreate(0, "Percent Risk 2", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Percent Risk 2", OBJPROP_TEXT, "Modify this number to change your % risk "); ObjectSetInteger(0, "Percent Risk 2", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Percent Risk 2", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Percent Risk 2",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk 2",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk 2",OBJPROP_YDISTANCE, 40); ObjectSetInteger(0,"Percent Risk 2",OBJPROP_XDISTANCE, 120);} if (ObjectFind(0,"Percent Risk 3")<0){ double balance = AccountBalance(); ObjectCreate(0, "Percent Risk 3", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Percent Risk 3", OBJPROP_TEXT, "%"); ObjectSetInteger(0, "Percent Risk 3", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Percent Risk 3", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Percent Risk 3",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk 3",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk 3",OBJPROP_YDISTANCE, 40); ObjectSetInteger(0,"Percent Risk 3",OBJPROP_XDISTANCE, 20);} if (ObjectFind(0,"Calculate")<0){ double balance = AccountBalance(); ObjectCreate(0, "Calculate", OBJ_LABEL, 0, Time[0], Close[0]); ObjectSetString(0, "Calculate", OBJPROP_TEXT, "Click to Calculate"); ObjectSetInteger(0, "Calculate", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Calculate", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Calculate",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Calculate",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Calculate",OBJPROP_YDISTANCE, 160); ObjectSetInteger(0,"Calculate",OBJPROP_XDISTANCE, 10);} return(INIT_SUCCEEDED); } //+------------------------------------------------------------------+ //| Custom indicator iteration function | //+------------------------------------------------------------------+ int OnCalculate(const int rates_total, const int prev_calculated, const datetime &time[], const double &open[], const double &high[], const double &low[], const double &close[], const long &tick_volume[], const long &volume[], const int &spread[]) { //--- //--- return value of prev_calculated for next call return(rates_total); } //+------------------------------------------------------------------+ //| ChartEvent function | //+------------------------------------------------------------------+ void OnChartEvent(const int id, const long &lparam, const double &dparam, const string &sparam) { if (id==CHARTEVENT_OBJECT_DRAG){ color entrylinecolor=clrBlack; if (ChartGetInteger(0,CHART_COLOR_BACKGROUND,0)==clrBlack){entrylinecolor=clrWhite;} double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Entry",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice; ObjectMove(0, "Entry", 0, Time[0], newprice); ObjectSetInteger(0, "Entry", OBJPROP_SELECTED, true); ObjectCreate(0, "Entry Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Entry Price Label", OBJPROP_TEXT, "Entry: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Entry Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Entry Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Entry Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_YDISTANCE, 70); ObjectSetInteger(0,"Entry Price Label",OBJPROP_XDISTANCE, 10); currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Take Profit",OBJPROP_PRICE),_Digits-1); newprice=currentlineprice; ObjectMove(0, "Take Profit", 0, Time[0], newprice); ObjectSetInteger(0, "Take Profit", OBJPROP_SELECTED, true); ObjectCreate(0, "Take Profit Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Take Profit Price Label", OBJPROP_TEXT, "TP: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_YDISTANCE, 130); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_XDISTANCE, 10); currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Stop Loss",OBJPROP_PRICE),_Digits-1); newprice=currentlineprice; ObjectMove(0, "Stop Loss", 0, Time[0], newprice); ObjectSetInteger(0, "Stop Loss", OBJPROP_SELECTED, true); ObjectCreate(0, "Stop Loss Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Stop Loss Price Label", OBJPROP_TEXT, "SL: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_YDISTANCE, 100); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_XDISTANCE, 10); } if (id==CHARTEVENT_KEYDOWN) { color entrylinecolor = clrBlack; if (ChartGetInteger(0,CHART_COLOR_BACKGROUND,0)==clrBlack){entrylinecolor=clrWhite;} if (lparam==VK_D) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Entry",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice+10*_Point; ObjectMove(0, "Entry", 0, Time[0], newprice); ObjectSetInteger(0, "Entry", OBJPROP_SELECTED, true); ObjectCreate(0, "Entry Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Entry Price Label", OBJPROP_TEXT, "Entry: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Entry Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Entry Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Entry Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_YDISTANCE, 70); ObjectSetInteger(0,"Entry Price Label",OBJPROP_XDISTANCE, 10); double chartfixedmax = ChartGetDouble(0,CHART_FIXED_MAX); if (newprice>(chartfixedmax-10)) { ChartSetDouble(0,CHART_FIXED_MAX,newprice+10*_Point); } ChartRedraw(); } if (lparam==VK_C) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Entry",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice-10*_Point; ObjectMove(0, "Entry", 0, Time[0], newprice); ObjectSetInteger(0, "Entry", OBJPROP_SELECTED, true); ObjectCreate(0, "Entry Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Entry Price Label", OBJPROP_TEXT, "Entry: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Entry Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Entry Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Entry Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Entry Price Label",OBJPROP_YDISTANCE, 70); ObjectSetInteger(0,"Entry Price Label",OBJPROP_XDISTANCE, 10); ChartRedraw(); } if (lparam==VK_A) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Stop Loss",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice+10*_Point; ObjectMove(0, "Stop Loss", 0, Time[0], newprice); ObjectSetInteger(0, "Stop Loss", OBJPROP_SELECTED, true); ObjectSetInteger(0,"Stop Loss", OBJPROP_COLOR,clrOrange); ObjectCreate(0, "Stop Loss Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Stop Loss Price Label", OBJPROP_TEXT, "SL: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_YDISTANCE, 100); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_XDISTANCE, 10); double chartfixedmax = ChartGetDouble(0,CHART_FIXED_MAX); if (newprice>(chartfixedmax-10)) { ChartSetDouble(0,CHART_FIXED_MAX,newprice+10*_Point); } ChartRedraw(); } if (lparam==VK_Z) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Stop Loss",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice-10*_Point; ObjectMove(0, "Stop Loss", 0, Time[0], newprice); ObjectSetInteger(0, "Stop Loss", OBJPROP_SELECTED, true); ObjectCreate(0, "Stop Loss Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Stop Loss Price Label", OBJPROP_TEXT, "SL: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Stop Loss Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_YDISTANCE, 100); ObjectSetInteger(0,"Stop Loss Price Label",OBJPROP_XDISTANCE, 10); ChartRedraw(); } if (lparam==VK_S) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Take Profit",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice+10*_Point; ObjectMove(0, "Take Profit", 0, Time[0], newprice); ObjectSetInteger(0, "Take Profit", OBJPROP_SELECTED, true); ObjectCreate(0, "Take Profit Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Take Profit Price Label", OBJPROP_TEXT, "TP: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_YDISTANCE, 130); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_XDISTANCE, 10); double chartfixedmax = ChartGetDouble(0,CHART_FIXED_MAX); if (newprice>(chartfixedmax-10)) { ChartSetDouble(0,CHART_FIXED_MAX,newprice+10*_Point); } ChartRedraw(); } if (lparam==VK_X) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Take Profit",OBJPROP_PRICE),_Digits-1); double newprice=currentlineprice-10*_Point; ObjectMove(0, "Take Profit", 0, Time[0], newprice); ObjectSetInteger(0, "Take Profit", OBJPROP_SELECTED, true); ObjectCreate(0, "Take Profit Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Take Profit Price Label", OBJPROP_TEXT, "TP: " + DoubleToString(newprice,_Digits-1)); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Take Profit Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_YDISTANCE, 130); ObjectSetInteger(0,"Take Profit Price Label",OBJPROP_XDISTANCE, 10); ChartRedraw(); } /* if (lparam==VK_F) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Percent Risk",OBJPROP_PRICE),2); double newprice=currentlineprice+0.1; ObjectMove(0, "Percent Risk", 0, Time[0], newprice); ObjectSetInteger(0, "Percent Risk", OBJPROP_SELECTED, true); ObjectCreate(0, "Percent Risk Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Percent Risk Price Label", OBJPROP_TEXT, "% Risk (F/V): " + DoubleToString(newprice,2)+"%"); ObjectSetInteger(0, "Percent Risk Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Percent Risk Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_YDISTANCE, 130); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_XDISTANCE, 10); double chartfixedmax = ChartGetDouble(0,CHART_FIXED_MAX); if (newprice>(chartfixedmax-10)) { ChartSetDouble(0,CHART_FIXED_MAX,newprice+10*_Point); } ChartRedraw(); } if (lparam==VK_V) { double currentlineprice = NormalizeDouble(ObjectGetDouble(0,"Percent Risk",OBJPROP_PRICE),2); double newprice=currentlineprice-0.1; ObjectMove(0, "Percent Risk", 0, Time[0], newprice); ObjectSetInteger(0, "Percent Risk", OBJPROP_SELECTED, true); ObjectCreate(0, "Percent Risk Price Label", OBJ_LABEL, 0, Time[0], newprice); ObjectSetString(0, "Percent Risk Price Label", OBJPROP_TEXT, "% Risk (F/V): " + DoubleToString(newprice,2)+"%"); ObjectSetInteger(0, "Percent Risk Price Label", OBJPROP_COLOR, entrylinecolor); ObjectSetInteger(0, "Percent Risk Price Label", OBJPROP_FONTSIZE, 12); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_CORNER, CORNER_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_ANCHOR, ANCHOR_RIGHT_UPPER); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_YDISTANCE, 130); ObjectSetInteger(0,"Percent Risk Price Label",OBJPROP_XDISTANCE, 10); ChartRedraw(); } */ } if (id==CHARTEVENT_OBJECT_CLICK){ if (sparam=="Calculate"){ double entryprice = ObjectGetDouble(0,"Entry",OBJPROP_PRICE,0); double takeprofitprice = ObjectGetDouble(0,"Take Profit",OBJPROP_PRICE,0); double stoplossprice = ObjectGetDouble(0,"Stop Loss",OBJPROP_PRICE,0); double stoplossdistance; double takeprofitdistance; if (stoplossprice>entryprice){takeprofitdistance=entryprice-takeprofitprice; stoplossdistance=stoplossprice-entryprice;} if (stoplossprice 
submitted by Learning_2 to Forex [link] [comments]

Time to start learning (needed something to “dumb” it down)

Time to start learning (needed something to “dumb” it down) submitted by creativityclam to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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


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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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


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


Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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