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Ethereum Classic

Ethereum Classic is an open, decentralized, and permissionless public blockchain, that aims to fulfill the original promise of Ethereum, as a platform where smart contracts are free from third-party interference. ETC prioritizes trust-minimization, network security, and integrity. All network upgrades are non-contentious with the aim to fix critical issues or to add value with newly proposed features; never to create new tokens, or to bail out flawed smart contracts and their interest groups.
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Simple example of "data mining" implementation for stocks/ forex or any forms of trading

Would the kind folks on algotrading share with me a simple example of "data mining" applications on any forms of trading?
I understand that "data mining" is more or less "extracting" or "uncovering" meaningful but hidden information from existing data, but I'd like to hear some practical examples from the algortraders themselves.
(I'm a newbie in both data mining and trading - go easy on me folks!)
Many thanks algortraders!
submitted by runnersgo to algotrading [link] [comments]

Forex AI/Data Mining Collaboration

Hi Guys,
I would like for us to work together on a project of Forex and data mining/AI collaboration.
If interested, please give me permission to share more info to avoid the risk of offending anyone.
Robot is ready, it generates reports, just want assistance in data mining/ai optimization.
submitted by bmkinyua to algotrading [link] [comments]

Formula for calculation of profit

Hi there everyone.
A friend of mine does some trades (not sure if this is the right terminology) on forex and since he was having success in it I decided to create an excel spreadsheet so he could track his losses and profits along with some other data. However none of the formulas that I have tried correctly calculate the outcome of a trade.
I am not very familiar with forex myself so I tried searching for that formula or just a way to calculate the profit so I could put that in the excel, but sadly no luck anywhere.
Could anyone let me know how to do it or explain how it's calculated? Thank you in advance!
submitted by Patis12 to Forex [link] [comments]

What you must know about getting gold trading signals

What you must know about getting gold trading signals
Trading gold is considered as a natural part of Forex trading. Gold provides a lot more opportunities in trading profits more frequently than the traditional Forex currency pairs. Traders going for just a few hundred and few thousand dollars may trade in Gold online at the most cost-effective rates. Profitable gold trading is done with the application of the analysis methods. It is also possibly filtered with doing a fundamental analysis of gold trading signals where the details will support the historical data.

Gold trading signals
There are so many ways of making a profit from gold. Investing in gold or buying gold means investing a lot of time and effort. Trading in gold means that there is a lot to buy or hold for a long period. Gold trading means buying or selling various times in a small period like a few hours, days or months.
One can invest in gold with just a few US dollars or buy gold in the form of nuggets or coins or by buying a small share in Gold bullion present in secure vaults. Physical gold is also an investment that also involves a lot of problems in storage and proof.
Gold trading allows you to make more frequent and larger profits than one can make with investing and holding gold. This happens even when there are up and down fluctuations in gold prices.
How to trade in gold
When it comes to trading at the gold price, the traders require something quite closely linked with the value of gold. It is worthwhile to note that gold trading signals play a vital role in this.
Options and futures for trading in gold
One of the important ways for trading in gold represents gold through a major and regulated exchange. This needs a deposit of nearly $ 5,000 with future brokerages. This is because the smallest of the Gold futures can expire in just early 33 ounces of Gold. It involves buying or selling just a single contract with a margin to support the trade.
Another alternative solution is to trading shares in ETF which owns Gold and where the price fluctuations mirror close fluctuations in the price of Gold. But, this needs opening an account with brokerage offering direct tradings in stock shares. The stockbrokers generally require a minimum deposit of the few thousand dollars and it also requires charging a sizable or minimum commission spread on every trade. A share of SDPR gold usually costs a person one-tenth of the value of an ounce of gold in US dollars. But this is going to be a truly expensive gold trading method.
Mining shares for trading gold
Buying and selling hare in gold mining companies is another method of gold trading. It involves consideration of various factors like speed, costs, and the minimum deposit required. It also has an added drawback that the value of gold is just one of the important trading factors driving the price for minimum sharing.
Gold trading with forex broker
Gold trading is a fast, easy and practical method of trading in gold. It is cost-effective for everyone who wants to spend a few hundred dollars on Gold trading. Several Forex Brokers offer to trade in spot Gold or the actual price of Gold in an ounce.
Talk to Gold Trading experts to learn more on Gold trading signals and various methods of profitable trading in gold.
submitted by goldtradingsignals to u/goldtradingsignals [link] [comments]

Top five scams with BTC and cryptocurrencies in Venezuela active this 2020. And maybe other parts. In your countries which states are known?

1-The hacker "El Esteban": He stole cryptocurrencies from accounts abroad .. He was moderately discovered by local authorities but never the identity of the person.
2-IM Mastery Academy (The New Economy). It's actually the same old pyramid scheme born in 2013, iMarketsLive (IML). A supposed academy that will allow you great income in a short time investing with cryptocurrencies and in the stock market.
3-DoubleWay. I think this is one of the most popular, the promise is to join their ETH smart contract and in a few weeks you will level up and have profits, however you had to find people to associate and level up. "All the management of the website is made up of a classic pyramid scheme"
4-FF Token; a Token promoted by a recognized actor in the country, however this currency does not have an investment structure or any roadmap, it is also promoted as "The cryptocurrency that could become the new BTC". Now, the person behind this token already has a history with other scam assets for more than 1500 million dollars.
5-Fergcryptoption: and this last one looks like many other scams. They describe themselves as a company dedicated to cloud mining, trading, and Forex. The omission of data as important as how many miners they own, where they are and how much they mine per day is something that should be noticed at first glance. In other words, it has the biggest red flags of scam.

Comment below on the scams that have become known in their countries.
submitted by luro900 to revain_org [link] [comments]

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer 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]

Losing hope (venting)

I think forex trading has been a dream of mine for so many years, only in March this year did I really start to dig into it. I've spent months trying so many different strategies, youtube guides, googling guides, even No Nonsense Forex and his (contrarian I guess?) view on it all. So many times I thought I had found the one strategy I can just stick to, only to further test it on historical data and find that just because it performed well one year, didnt stop it from doing poorly every other. I've seen so many indicators, taken so many guesses at price action, and I just dont see any law to it. I just want something to work, even if its 50% win rate with 2:1 rewards, thats still a winner, but everything I see, I can point out so many more cases where it fails than where it succeeds.
In any case, this has been a lengthy self-pitying read, sorry. Im just losing hope that a consistent profitable strategy exists, but thanks for taking the time to read, just venting I guess.

It wont let me post this? is it due to a lack of analysis? GBP will surely rise! Or will it? Thatll do.
submitted by Corrupt96 to Forex [link] [comments]

Weekly Update: $GHOST on ParJar, XIO Labs, SelfKey Loan Marketplace, $GET on Uniswap…– 19 Jun – 25 Jun'20

Weekly Update: $GHOST on ParJar, XIO Labs, SelfKey Loan Marketplace, $GET on Uniswap…– 19 Jun – 25 Jun'20
Hi Parachuters! With this, we come to the last part of our May-June Parachute + partner update series (19 Jun – 25 Jun'20):

Jason hosted a flash 1000 $PAR challenge for sharing details on "the silliest reason you tipped someone in real life". Gamerboy, Charlotte, Afful and Peace Love hosted some uber cool quizzes in TTR this week for $PAR prizes. Gian got folks to post music “featuring bands or song titles that have a color in their name” for Two-for-Tuesday this week. As always, Sebastian was kind enough to compile the playlist with everyone’s posts. The English Premier League is back! And with it LordHades’ Fantasy Premier League (FPL) officially reopened as well. James, who you would know from the Parachute Athetics and Running Club, announced the start of a secret challenge for $PAR prizes. Switch-partnered and John McAfee-backed privacy coin $GHOST was listed on ParJar this week. And the swap beta feature is almost ready. Read all about the latest ParJar updates from Cap’s post. Skittish started a channel to track major on-chain $PAR transactions. European crypto exchange Txbit added $PAR as a contender to their latest vote-for-listing contest after a taking public poll. Hope you got a chance to vote. Borna was the winner of this week’s Parena. Congrats!
That was quite the finale this week
To track the latest $AXPR burn, click here. After a brief disruption, 2gether is back to normal shipping of their cards. XIO launched the XIO Labs this week, a decentralised talent pool to help incubate blockchain projects. Zach expanded on the zero-loss membership model vis-à-vis XIO Portals through a detailed video this week. The GHOSTX atomic swap platform by Ghost went live this week. 50% of all fees will go to $ESH holders. The team hosted an AMA with crypto entrepreneur Alex Masmej. You might remember him from his Human IPO – selling shares of himself in the form of tokens. If you missed it, you can catch up from the transcript. Lite Liger made a video tutorial on how to create your own Dex using SwitchDex. John McAfee appeared for an AMA with Wendy O to answer community questions on Ghost. Following this, Wendy posted a tutorial on how to use the McAfeeDex as she promised during the AMA. Fantom published an article on how upcoming token releases and rewards will affect the circulating supply. Uptrennd founder Jeff Kirdeikis sat down with Michael Gu (Box Mining) this week to talk about crypto, altcoins and Uptrennd. For the latest weekly recap and monthly stats, click here and here respectively. $1UP got listed on B One Payment wallet. The latest district weekly and dev update cover a lot of recent news from the District0xverse. Brady also posted a detailed guide for creating a no-code Web 3 compatible loyalty store. As the Hydro team continues to expand, highlights from their recent team meetings were shared with the community. A comprehensive list of top challenger banks was also published. Sentivate founder Thomas Marchi was interviewed by Mr. Backwards. SelfKey’s Loan Marketplace is now live.
Early sneak peek of the XIO mobile dApp
The Constellation team did a coffee talk where they discussed about the road ahead for $DAG. Yazom launched a Toon Cup competition for its community for a chance to win some cool gadgets. As you might already know, the Pynk crowdfunding campaign on Seedrs is now overfunded. Woohoo! COO Rupert Barkdfield gave a project pitch at the Unicorn Battle this week. CyberFM announced a new Black History Music channel and committed to help end systemic racism. Wibson hosted a Data Privacy seminar for their Spanish community. Harmony announced that the number of open validator slots will be doubled to 640 by July 1. The first phase of slot increase happened this week. The team also compiled an FAQ list for Open Staking. Ankr made a node running cheat sheet as well. Huobi announced support for $ONE mainnet. For the latest #pow thread, click here. Did you know that the Harmony dev ecosystem extends to far away as the Himalayas? Amazing! Kucoin’s Pool-X announced support for $ONE staking. Within days of the announcement, the staking pool got filled up to its max cap. If you’re not yield farming yet, here’s a video guide on how to use $ONE to get in on the fun. The team hosted a fireside chat with Dhawal Shah of Frontier wallet and Ganesh Swami of Covalent to talk about DeFi. BitForex listed Intellishare’s $INE token this week. To celebrate the occasion, Intellishare hosted a Pandora Box event to give away 20k $INE as rewards. Sweet! Click here to read how the network fights bad actors. Plus, the significance of mesh networks was expanded upon in an article. The team also announced time offs for next week. GET Protocol clinched a number deals to ticket upcoming events. Click here and here to find out if your favourite artists’ events are there. $GET is now available on Uniswap. COTI crew sat down for an AMA with Indodax this week. CEO Shahaf Bar-Geffen will be sharing more details on Blockchain Dollars in an AMA with Wolf Crypto next week. Stablecoins, wink wink. The team will also be speaking at the Cardano Virtual Summit next week. Another staking campaign on Binance was launched. Read more about it here. The team also put out a detailed roadmap as they move towards MainNet 2.0.

With that, we have to say Bye for this week. Next on my To-Do list: Get to work on the updates of July and August :D. Till then, Ciao!
submitted by abhijoysarkar to ParachuteToken [link] [comments]

Weekly Wrap: This Week In Chainlink July 20 - July 26

Weekly Wrap: This Week In Chainlink July 20 - July 26. What a week! Check out this weekly wrap-up of all that has been accomplished in the Chainlink community.

Announcements and Integrations 🎉

SmartCon will feature the top minds and builders of smart contracts and celebrate our incredible community, thriving ecosystem & cutting-edge research. Experience a mix of keynotes, panel discussions, live demos, developer workshops, and networking with the community. We made registration complimentary so everyone can participate.

We’re thrilled to welcome DeutscheTelekom’s TSystems_MMS IT Services group to Chainlink. Tsystemscom’s world-class infrastructure team secures a large amount of enterprise value today & is now on mainnet helping secure Chainlink’s oracle network.

Top Korean banks: Hana Bank, Shinhan Bank, Nonghyup Bank, and Industrial Bank of Korea select Chainlink and CenterPrime to bring their forex data on-chain, transforming the capabilities of open banking services, fintech and DeFi.

Binance Smart Chain has integrated Chainlink as its oracle live on testnet! Using Chainlink gives devs access to off-chain data (e.g. Binance_DEX), enabling them to build DeFi dApps for derivatives, crypto payments, automated asset management and more.

Reflexer (@MetaCoinProject) has successfully integrated Chainlink's ETH/USD Price Reference Data as the basis for collateralization checks on their first Generalized Ethereum Bond (reflex bond) RAI—a low volatility, trust minimized collateral for DeFi.

Blockchain-based e-document solution @FirmaChain is integrating Chainlink to create more seamless digital contracts. For example, car rental contracts using Chainlink to validate driver licenses within the signature process for better customer experience.

Blockchain platform Elastos blockchain is launching a Chainlink-powered ELA/USD Price Reference Data feed to use for collateralization checks on its upcoming cross-chain stablecoin. This is one of many advanced dApps possible on Elastos using real-world data.

TinyboxesETH is using ChainlinkVRF to create Tiny Boxes, randomized & animated generative art pieces that, from creation to curation, exist fully on-chain for collectors to enjoy. They will also use Chainlink price oracles for minting pieces w/ crypto.

Chainlink's ENJ/ETH Price Reference Feed is live on mainnet! Gaming developers can use this reliable price feed when minting or exchanging Enjin-based digital assets.

Chainlink's REN/ETH Price Reference Feed is live on mainnet. DeFi developers utilizing REN in their dApp now have access to a secure and reliable price oracle. This is just one of many Chainlink oracles available today.

Featured Videos & Educational Pieces 🎥

Join the MCDEX team and Chainlink for a video Q&A is with Gareth the DaoChemist (https://twitter.com/daochemist), Head of Business Development of MCDEX. The discussion will be centered on MCDEX integration with Chainlink and a deep-dive into MCDEX's launch of liquidity mining.

Join the Vite Labs team and Chainlink for a video Q&A is with Richard Yan, the Co-founder, and COO of Vite Labs. The discussion will be centered on 1) Why ViteX has better performance than other DEXs, 2) ViteX's approach to trans and liquidity mining where the coins earned entitle users to proceeds from the exchange, 3) Future plans for ViteX.

Watch this community workshop featuring an AMA with LinkPool’s head of business development, Ian Read. In the video, they discuss the future roadmap for LinkPool, how to become a node operator, and best practices for running a node.

Ecosystem & Community Celebrations 👏

Upcoming Events 📅

Are you interested in hosting your own meetup? Apply to become a Chainlink Community Advocate today: https://events.chain.link/advocate

SmartContract is hiring to build Chainlink’s network: Check out these open roles 👩‍💼

View all open roles at https://careers.smartcontract.com
submitted by linkedkeenan to Chainlink [link] [comments]

r/dividends is hiring mods! (Plus some very important announcements)

Good afternoon dividends,
A lot has been happening behind the scenes recently regarding the state of this subreddit, so I will skip any buildup and get right into it.
Firstly, I would like to officially welcome Jack Larkin (aka u/finance_student), who has officially joined the moderator team. I have brought him on to help turn Automoderator into more than just my copy-pasting default templates in a pattern that somehow works. So be nice, be kind, and wish him luck because I have no idea how to code.
The second order of business is that I am officially hiring not one, not two, but three additional moderators for dividends. Unlike Jack, these individuals will be active and participating members of the community who will be brought on to accomplish very specific tasks. The three positions are each very different, and listed below. Please read each one carefully.
  1. Old Reddit Ambassador: As many of you know, I have absolutely zero experience coding anything complicated. Unfortunately for me, Old Reddit does not care. Anyone who has worked with Old Reddit knows the stylesheet page is simply a blank text box responsive to (I think) CSS code. According to Reddit statistics, a large number of dividends userbase utilizes either Old Reddit, or 3rd party Reddit apps that are pulling data from Old Reddit. I am fully committed to ensuring you guys have just as positive of a user experience as those of us who use new Reddit, so I am recruiting an experienced Reddit coder to assist in this task. In essence, you would help me make dividends look good on Old Reddit and its third party apps. That's all this position is. You will serve as an ambassador to that community, and make sure our Old Reddit userw are having a great user experience. You will not need to handle the mod queue or work on automoderator.
  2. Wiki Writer: Another important goal of mine for this subreddit is the establishment of a wiki for any and all new dividend investors. It will be an introductory guide walking new investors through everything they need to know to get started, so that hopefully I can eliminate every single "Im X years old and don't know how to invest" post. Excellent writing skills will be required.
  3. Chat moderator: We are pleased to announce that /dividends is now live on Discord. Come join the conversation in our live chatroom! To facilitate the live chat, we have partnered with other finance related subreddits and are joining an already established and very active server. Our new server hosts the official chats for /algotrading, /forex, and the FXGears communities, and boasts more than 1600 online members. Our channels within the chat server are #dividend-investing and the #stocks-general / #stock-resources rooms, but of course you are encouraged to check out all subject matters hosted on the server. You can find links to the new chat in the top navigational bar and the sidebar. Individuals applying for this position would be responsible for overseeing the chat on these new channels. You would be granted moderator status here on the subreddit and would be granted permissions necessary to enforce the rules accross both platforms.
Those of you who wish to apply may send an application through modmail. Applications will be open until Tuesday September 1, when I will start contacting the finalists.
Edit: it was asked if mods were still allowed to participate in the community (apparently some subreddits want their mods to not interact with the subreddit unless they are acting as a mod.) I don't know what subreddits do that, but rest assured such a rule would not apply here. Any mods would still be free to post, comment, rate, etc. All the fun stuff. You can just think of being a mod as a side thing you do on the weekends or something if you want to. All I really need is people with the requisite skills who want to make the community better. You will get a custom flair of whatever you want, and you will get to help make this community a better place.

That concludes todays announcement. Until next time.
submitted by Firstclass30 to dividends [link] [comments]

News in Lebabon = GLD to the moon

I am subscribed to various analysis of the Forex market and today I got an email saying that "Following the explosion in Lebanon, the price of Gold surged to another record high". Can somebody explain how and why such news influence the price of gold?
Wikipedia says that Lebanon exports jewelry, base metals, chemicals, consumer goods, fruit and vegetables, tobacco, construction minerals, electric power machinery and switchgear, textile fibers, paper. Imports: petroleum products, cars, medicinal products, clothing, meat and live animals, consumer goods, paper, textile fabrics, tobacco, electrical machinery and equipment, chemicals
And Lebanon has no data on gold production https://www.gold.org/goldhub/data/historical-mine-production
So.. what is the correlation?
submitted by mocialov to stocks [link] [comments]

Losing hope in Forex (venting)

I think forex trading has been a dream of mine for so many years, only in March this year did I really start to dig into it. I've spent months trying so many different strategies, youtube guides, googling guides, even No Nonsense Forex and his (contrarian I guess?) view on it all. So many times I thought I had found the one strategy I can just stick to, only to further test it on historical data and find that just because it performed well one year, didnt stop it from doing poorly every other. I've seen so many indicators, taken so many guesses at price action, and I just dont see any law to it. I just want something to work, even if its 50% win rate with 2:1 rewards, thats still a winner, but everything I see, I can point out so many more cases where it fails than where it succeeds.
In any case, this has been a lengthy self-pitying read, sorry. Im just losing hope that a consistent profitable strategy exists, but thanks for taking the time to read, just venting I guess.
submitted by Corrupt96 to Daytrading [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Some seemingly undervalued stocks

First off I’m no stock broker, but I write a mean spreadsheet!
I’ve taken a lot of data off investing.com and ranked companies on EPS, P/B, Growth, BVPS, Cash flow, debt and dividend yield. I then ranked them against both their industry and the market in general. Scoring items against a range, with anything falling out of range given 100 (where low is good).
I’m only really looking at LSE as I don’t like adding Forex into the mix.
I’m then doing some research into why they are undervalued. Some are obvious others aren’t.
Here are my picks currently. I would love some feedback, positive or not. All the below scored below 15 points on my 7 scales where 0 is the best and 100 is the worst.
Hunting PLC (oil and gas services)
Rank Group (gambling)
Serica Energy PLC (oil and gas)
Ferrexpo (mining)
Angelo Pacific Group (mining)
Sorry for any formatting. I’m on mobile.
submitted by Mikeyblu to UKInvesting [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

40 Jobs in on Hiring Now!

Company Name Title City
Maverick FX Maverick FX: Remote Foreign Currencey Trader Job In Atikokan, On Part Time Atikokan
Maverick FX Maverick FX: Remote Forex Trader Job In Atikokan, On Part Time Atikokan
Maverick FX Maverick FX: Remote Forex Trader Job In Atikokan, On Full Time Atikokan
Hinduja Global Solutions Bilingual (French/English) Customer Support Barrie
Hinduja Global Solutions Bilingual (French/English) Customer Support - WFH with paid home training Barrie
Hinduja Global Solutions Bilingual (French/English) Customer Support - Inbound calls Barrie
Realstar Management Realstar Management: Assistant Resident Manager 2 Person Team (Belleville) Belleville
Zoobla Financial Zoobla Financial: New Business Advisor Belleville
Robert Half Canada Robert Half Canada: Helpdesk Support Belleville
First Student Canada First Student Canada: School Bus Driver - Markham, On Bond Head
First Student Canada First Student Canada: Truck Coach Mechanic Bowmanville
Manpower Manpower: Certified Forklift Operator - Bradford Bradford West Gwillimbury
First Student Canada First Student Canada: School Bus Driver - Markham, On Bradford West Gwillimbury
Sport Clips Sport Clips: Hair Stylist - Licensed / Apprentice On804 Bradford West Gwillimbury
Manpower Manpower: Light Assembly Work - Bradford Bradford West Gwillimbury
Hays Talent Solutions Llc Data Modeler (Power BI) - Remote Work - 6 month contract Burlington
CARQUEST Canada CARQUEST Canada: Customer Service Rep Caledonia
Agilus Work Solutions Agilus Work Solutions: Health & Safety Supervisor - Mining Goderich
The Judge Group The Judge Group: Senior Mechanical Design Engineer Gormley
Aerotek Aerotek: Hiring Forklift Operators $18/Hr Days And Afts Available Guelph
Sport Clips Sport Clips: Hair Stylist - Licensed / Apprentice On302 Guelph
Sanimax Sanimax: Territory Sales Representative Guelph
Home Depot Home Depot: Merchandising Associate 4 Month Contract Guelph
Arise Arise: Customer Service - Work From Home Guelph
Magna International Magna International: Automation Technician Guelph
Magna International Magna International: Industrial Maintenance Electrician Guelph
Aerotek Aerotek: Hiring Warehouse Associates Immediately Temp Or Perm Guelph
Robert Half Canada Robert Half Canada: Accounting Clerk Guelph
Robert Half Canada Robert Half Canada: Business Intelligence (Bi) Consultant Guelph
Accountemps Accountemps: Billing Clerk Guelph
Sport Clips Sport Clips: Hair Stylist - Licensed / Apprentice On301 Kitchener
Experis Experis: Devops Developer (Remote Work Considerable) Kitchener
Home Depot Home Depot: Merchandising Associate Part Time (Contract) Kitchener
UPS UPS: Key Entry Clerk Kitchener
Aerotek Aerotek: Millwright - Days Kitchener
Zoobla Financial Zoobla Financial: New Business Advisor Kitchener
Procom Procom: Senior Full Stack Developer Kitchener
WORLDPAC Canada WORLDPAC Canada: Delivery DriveWarehouse Teammate Kitchener
UPS UPS: Commis De L'Entrepôt Kitchener
WORLDPAC Canada WORLDPAC Canada: Assistant Branch Operations Manager Kitchener
Hey guys, here are some recent job openings in ON. Feel free to comment here or send me a private message if you have any questions, I'm at the community's disposal! If you encounter any problems with any of these job openings please let me know that I will modify the table accordingly. Thanks!
submitted by DramaticPatience0 to OntarioJobsForAll [link] [comments]

Trading Update: exited FET for 1.5% loss, into MVIS

I'm not quite sure what the best method is of letting you guys know what I'm doing with my trades. I try to be transparent (I posted about me exiting the FET trade this morning) but I also want you guys to be able to make your own informed decisions. Maybe at the end of the trading day, I can do a recap and then show you what I'm looking for tomorrow. Here's mine from today:

Overview for FET. This cypher pattern formed. I entered at $0.3580, not great entry but I was confident after seeing that little white reversal candle, second from the right, yesterday. Then today happened and I wasn't convinced while watching the price action and level two data. Just not much buy side pressure. I sold for really small loss this morning. Ideally today should've been a bullish daily candle, the start of that move up, but it just wasn't.
https://preview.redd.it/mn05wq0r8sz41.png?width=1828&format=png&auto=webp&s=62303d393d66a9a139dc8d4321eab489a6eb6f0e

Then this happened today:

https://preview.redd.it/i135hwa0asz41.png?width=1828&format=png&auto=webp&s=39372d64753ea7caee1cd02fdc2288fdff36c91f
Smaller timeframe for FET: This is called a head and shoulders pattern. I haven't seen it in a while but saw it when it formed. The target downwards is from the top of the head to the neckline. It just wasn't a good day for FET so I dipped. No worries on a 1.5% loss. It could go back up, but I trade off the charts and this one wasn't looking great today. So far we can consider my $0.5976 prediction a failure unless we see some strong bullish momentum tomorrow.

And I got into MVIS:

https://preview.redd.it/gnaycg42bsz41.png?width=1828&format=png&auto=webp&s=7bafe1b9ca6104f883f6bf7b4c243090a979ce71
That daily candle looks strong. It closed above the wick of the previous candle. The next resistance is the red line as a daily level of resistance, which you can also see that the price has already pierced it previously.


https://preview.redd.it/lpr7kcp9csz41.png?width=1828&format=png&auto=webp&s=8a0c1f1cf299f4e222d72f5119cbc48ad2f27415
15min chart. The first arrow, the price failed in the pennant pattern, but rebounded nicely in the afternoon. This is what caught my attention. I love fibonacci trading, so on the smaller blue arrow, I saw it bounce off a fib level and the fifteen minute candle that closed as bullish engulfing, I bought. Then it formed the rest of the pennant. Admittedly, this week I've been struggling with entries. I think this being my first week with webull is part of that, but maybe I'm just a retarded trader lol. I set my stop loss and take profits when I bought, and I've learned to never change those levels after I set them. It sucks but things can become way worse once you start moving your stop loss lower and lower. It is technically underneath a level of daily support, so that's good I guess. MVIS hit my previous target of $1.0346 (weekly resistance) today. If MVIS has downwards momentum and starts to break the $0.9513 level, that would be a bad sign. Although it did fail that pattern this morning and rebound nicely afternoon, so I'll assess things if that happens and might enter another trade here. Risk is standard 5% of my account

So that's what I'm doing. Currently 0/1 this week in penny stocks, but I made 5% in forex from betting on usd strength against jpy. So I'm still feeling good. Sorry there isn't a great way to notify my 1,000 followers about what I'm doing immediately. I hope this helps.
Cheers!
submitted by trevandezz to pennystocks [link] [comments]

Weekly Update: The Parachute culture, $COTI on Gate.io, Pynk crowdfunding campaign live, Voyager + Sterling Trading Tech…– 22 May - 28 May'20

Weekly Update: The Parachute culture, $COTI on Gate.io, Pynk crowdfunding campaign live, Voyager + Sterling Trading Tech…– 22 May - 28 May'20
Heyo! Continuing with our six-part catch up series to get up to date on the May and June news from Parachute and partners, here’s Part II of VI (22 May - 28 May'20):

If you're in crypto, there's often the random pump/moon/wenBinance talk that props up from time to time in groups. Especially, when someone new joins a project and is unfamiliar with the community culture. At Parachute, we have always made it a point to have more meaningful discussions than price. Cap shared some of his thoughts on this as well. For the #culturalweekend prompt this week, Jason got Parachuters to share about “something weird your family does that is a tradition for them but not a traditional tradition”. Peace Love’s Big Trivia in TTR was quite fun as always. The beta testing group for ParJar swaps was set up this week. Also, Chris organised something amazing this week which will possibly remain a secret amongst Parachute admins (and Doc Vic 😊 ). But if word of it ever goes out, you’ll realise why Parachute is the most wholesome project in all of crypto. Chris also gave out some cool $PAR to folks in the Parachute channel to talk about "something that you didn't spend much money on that had a big impact on your quality of life". This week's Two-for-Tuesday featured music from "female artists, including bands with at least one female member". Click here for the playlist. Thanks Sebastian!
Some good cheer from Alexis all the way from Germany
aXpire’s May recap video covers product updates from Bilr, PayBX etc. To track this week’s 20k $AXPR burn, click here. The team also shared success strategies for law firms. 2gether co-founder Salvador Casquero wrote about best security practices in finance. A new update was pushed to Wednesday Coin’s dApp, WednesdayClub. In this week’s XIO discussions, Citizens talked about ideal time allocation strategies for research and execution. Top Citizens on the Leaderboard stand a chance to win some cool merch. Also, watch out for pesky scams. Voyager announced a partnership with Sterling Trading Tech to launch a crypto trading widget. Proactive Investors covered Voyager in its latest piece chronicling their growing user base. As mentioned in a previous update, CEO Stephen Ehrlich’s crypto investment webinar happened this week. Switch crew did a community AMA just before the $GHOST airdrop snapshot. The team expanded with new dev hires. In preparation for the $GHOST airdrop, ProBit completed its $VSF:$ESH swap and Stex announced support for $ESH/$GHOST airdrop. $ESH was listed on HitBTC and Changelly. Folks who guessed these exchanges correctly won some tokens as well. Founder Josh Case sat down with Mr. Backwards for an interview. Among several updates to the Ghost website, a staking calculator was added. Click here to read the latest technical update from Fantom. $FTM was in the running to be added as a collateral for DAI. Congratulations to Uptrennd for becoming the highest ranked blockchain-based social media platform as per Alexa. They started a SmartLink campaign with 2key Network. The first Uptrennd halvening went live this week. The team is reachable on Discord from now as well. District0x’s latest District Weekly and Dev Updates can be read here and here respectively. Hydro team shared their thoughts on how virtual cards for independent contractors (otherwise referred to as 1099 employees) could improve reimbursement practices. Entries for their Decentralization Ambassador program were opened this week.
These look great, XIO team
This is what is planned for the GHOST ecosystem currently
SelfKey compiled a master list of crypto lending platforms. The Loans Marketplace will feature many of these. Full transcript of the May 12th AMA was released. SelfKey advisor Edmund Lowell spoke at the BlockConf DIGITAL conference this week. Mongolian exchange AIS-X joined the Exchange Marketplace. Pynk’s crowdfunding campaign on Seedrs went live this week. Check out their campaign video here. Amazing production! Plus, this cool feature in City A.M. was the perfect way to close off the week. Wibson hosted a meetup (online of course!) for its Spanish speaking community this week. The crew also introduced the app at an Ethereum event in Buenos Aires. Harmony burned all mainnet tokens mined before Open Staking going public. The latest staking stats and validator data can be seen here and here respectively. That’s right, 3B+ $ONE is already staked. Woohoo! With its latest CoinDCX listing, $ONE got its first INR trading pair. Saweet! The major improvement proposals that were discussed with the community this week were making Open Staking more decentralized and creating a more liquid staking market. This led to the first release after Open Staking. The winners of the effective-median-stake contest were announced. Hope you got a chance to take part in the Flash Quiz. Do you know about all the projects that have been built in the Harmony ecosystem? Here’s a rundown. The team hosted an AMA as well. BitMax changed some of its rules for $ONE staking. Check out COTI’s latest network growth stats here. And super congratulations on winning the Gate.io listing vote! $COTI was also added to Binance’s Locked Savings staking program. Broking platform Troy Trade partnered with COTI to improve its scalability. DoYourTip’s $DYT now has 2500+ HODLers. Neat! Mycro was invited to join BitForex’s app platform CAPP Town. GET Protocol’s GUTS Tickets was covered in Cryptogeeks’ latest blogpost on blockchain-based ticketing.

And with that, it’s a wrap for this week in Parachute and partners! See you again with another update. Cheerio!
submitted by abhijoysarkar to ParachuteToken [link] [comments]

Why Some Technical Analysis May No Longer Be Effective: An Interview With Michael Harris

fintech #trading #algotrading #quantitative #quant #stock #forex #fx $spx $spy

An Interview With Michael Harris Technical analysis is the study of price charts and patterns.
Michael Harris writes the Price Action Lab Blog and is the author of Fooled By Technical Analysis: The Perils Of Charting, Backtesting And Data Mining.
He posts on Twitter about, well, price action. His message there that, basically, “everything you know about technical analysis is wrong” is presented with clarity and passion. It’s been enough to make me question my own beliefs on the chart reading methods I’ve used for years.
I am not endorsing the ideas presented here about price, but I like to consider original thinking and to have my assumptions challenged every now and then. In that spirit, here are my questions and Michael’s answers.
John Navin: You’ve written that technical analysis methods as practiced in the 70’s and 80’s no longer work as well. What happened to them?
Michael Harris: Technical analysis methods of the old school include mainly chart patterns and some h.....
Continue reading at: https://www.forbes.com/sites/johnnavin/2016/12/31/why-some-technical-analysis-may-no-longer-be-effective-an-interview-with-michael-harris/#527fddac4733
submitted by silahian to quant_hft [link] [comments]

Looking for someone to collaborate with in exploring some of the fundamental questions in algo trading in relation to quantitative analysis and the Forex market specifically.

I got interested in both algo trading and Forex about the same time. I figured that if I was going to trade in the Forex market or any market there after, I was going to use algorithms to do the trading for me. I wanted to minimize the "human factor" from the trading equation. With the research I have done so far, it seems that human psychology and its volatile nature can skew ones ability to make efficient and logical trades consistently. I wanted to free myself from that burden and focus on other areas, specifically in creating a system that would allow me to generate algorithms that are profitable more often then not.
Consistently generating strategies that are more profitable then not is no easy task. There are a lot of questions one must first answer (to a satisfactory degree) before venturing forward in to the unknown abyss, lest you waste lots of time and money mucking about in the wrong direction. These following questions are what I have been trying to answer because I believe the answers to them are vital in pointing me in the right direction when it comes to generating profitable strategies.
Can quantitative analysis of the Forex market give an edge to a retail trader?
Can a retail trader utilize said edge to make consistent profits, within the market?
Are these profits enough to make a full time living on?
But before we answer these questions, there are even more fundamental questions that need to be answered.
To what degree if any is back-testing useful in generating successful algo strategies?
Are the various validation testing procedures such as monte carlo validation, multi market analysis, OOS testing, etc... useful when trying to validate a strategy and its ability to survive and thrive in future unseen markets?
What are the various parameters that are most successful? Example... 10% OOS, 20% OOS, 50%......?
What indicators if any are most successful in helping generate profitable strategies?
What data horizons are best suited to generate most successful strategies?
What acceptance criteria correlate with future performance of a strategy? Win/loss ratios, max draw-down, max consecutive losses, R2, Sharpe.....?
What constitutes a successful strategy? Low decay period? High stability? Shows success immediately once live? What is its half life? At what point do you cut it loose and say the strategy is dead? Etc....
And many many more fundamental questions....
As you can see answering these questions will be no easy or fast task, there is a lot of research and data mining that will have to be done. I like to approach things from a purely scientific method, make no assumptions about anything and use a rigorous approach when testing, validating any and all conclusions. I like to see real data and correlations that are actually there before I start making assumptions.
The reason I am searching for these answers is because, they are simply not available out on the internet. I have read many research papers on-line, and articles on this or that about various topics related to Forex and quantitative analysis, but whatever information there is, its very sparse or very vague (and there is no shortage of disinformation out there). So, I have no choice but to answer these questions myself.
I have and will be spending considerable time on the endeavour, but I am also not delusional, there is only so much 1 man can do and achieve with the resources at his disposal. And at the end of the whole thing, I can at least say I gave it a good try. And along the way learn some very interesting things (already had a few eureka moments).
Mo workflow so far has consisted of using a specific (free) software package that generate strategies. You can either use it to auto generate strategies or create very specific rules yourself and create the strategies from scratch. I am not a coder so I find this tool quite useful. I mainly use this tool to do lots of hypothesis testing as I am capable of checking for any possible correlations in the markets very fast, and then test for the significance if any of said correlations.
Anyways who I am looking for? Well if you are the type of person that has free time on their hands, is keen on the scientific method and rigorous testing and retesting of various hypothesis, hit me up. You don't need to be a coder or have a PHD in statistics. Just someone who is interested in answering the same questions I am.
Whats the end goal? I want to answer enough of these questions with enough certainty, whereby I can generate profitable algo strategies consistently. OR, maybe the answer is that It cant be done by small fry such as a retail trader. And that answer would be just as satisfactory, because It could save me a lot more time and money down the road, because I could close off this particular road and look elsewhere to make money.
submitted by no_witty_username to Forex [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Swing Zone Trading using data mining Project Financial data mining Data Mining - Fikry Fatullah - Training For Mentors NeoNeuro Data Mining. Machine Learning How to to generate your own clean equity and forex historical data or tick data cheaply

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Swing Zone Trading using data mining

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