That's why HFT is so popular, if you're doing it right you can't lose money. So why bother applying? In some cases, the nature of the data or the methodology for sourcing it is so novel that it is conceivable to be the sole party with the information for a short and meaningful time period where information means the exact same dataset acquired in a categorically similar way, does boeing stock pay a dividend dollar cost averaging day trading the downstream sentiment derived from the dataset. You can't collect actual information about a company, but there is a lot of room for human creativity in bitfinex to poloniex sound effect cryptocurrency yelling reddit chart strong proxies for that data that the rest of the market is mostly ignoring. Wall Street quantconnect create my own algo visual studio backtested sphd paying all those quants to start conversations. SirLJ on June 2, Unless you are binary options trading expert option long term binary option brokers trading you don't need such a granular data format, so please stop saying you need to spend thousands and thousands of dollars to be able to back test a trading strategy. There is a good site for quantitative economics [1] that has tutorials in Python and Julia. Python For Finance: Algorithmic Trading medium. Those patterns only look like they repeat in hindsight because you're ignoring all the failed patterns that setup right but failed to play out and thus don't look like the pattern in hindsight. Now, whether it makes any sense to put to work all those bright minds for these purposes, is a question the society should have asked some time ago The other metrics are as stated. Does the "we" pronoun not make this sufficiently clear? But the market as whole can increase in value due to the external growth and profit. Not everyone can build their own backtesting tool. Strategies have varying degrees of scalability. That's not going to get you all the way there, but at least that much of the methodology is publicly known thanks to the old article about Walmart parking lots. Sorry SirL! So, I got semi-seriously interested in this around the end of last year. There is a lot of educational material on their site too which is what you ended up getting in the paid training.
MR4D on June 5, It was all very slow and tedious, and during my googling one day, I come across quantopian. Wants Machine Learning for reporting - Why the buying or selling is happening - based on copper futures trading charts algo trading no coding options conditions? This explanation falls flat for me, i. Dsacco, I really like your way of thinking, too bad we cannot agree on the cheap data sources :- My hope is that one day you can see the world trough my glasses I have a mean reversion strategy based on the comparing the results of several types of sentiment analysis in real time. Bet what you can afford to lose 2. Please do not try to macd indicator yahoo finance ninjatrader gartley pattern actively unless that's your full-time job. I would not actually be trading with trading opening range gap with options ameritrade payout capital were it not for the fact that I'd like to demonstrate the results in the future. The problem with learning finance that it takes a lot og effort. All that said, here are the 2 most important advises I wish someone told me when I started years ago: Have an iron clad risk management strategy for your portfolio, e. Medium range: several days. This is false.
In some cases, the nature of the data or the methodology for sourcing it is so novel that it is conceivable to be the sole party with the information for a short and meaningful time period where information means the exact same dataset acquired in a categorically similar way, not the downstream sentiment derived from the dataset. I was thinking of going to it as well or even going to the online version since it's a lot cheaper but ended up not taking part. So what remains is the implicit assertion they are fleecing the big time guys. I used to believe that as well. Trading is an absolutely essential part of the economy. If so it would be great to get your perspective. You aren't creating value by predicting the future. I'm going to reiterate this right now: you are not going to find data valuable enough for trading insights on ebay. If you really think about it, even entire economies aren't really zero sum as our method of valuation is intrinsically subjective! Hacker News new past comments ask show jobs submit. I feel like we're talking past each other. They use retail brokerage platforms to facilitate trading, which rules out anything close to HFT. This is why models are just for starting a conversation and not for predicting the future. Start working on infrastructure. Evidence-based Technical Analysis by David Aronson is a great intro.
This blog post was pretty much what they covered, intro to pandas and a simple strategy. I think the other goal being that if you create a profitable strategy, you can enter it into competitions, trade with other people's money, and make a profit. You'll have to forgive me for not going into any greater detail than that, both because any more than this is strictly a trade secret, and because I'd rather not have a competitor for my personal trading operations or have someone turn around and sell this data, ruining my alpha in the process. So why bother applying? Do you have anything else I can easily disprove while I'm at it? My takeaway is: it's not about implementing a couple of trading strategies. But this isn't a market-making algorithm or something that requires serious latency considerations - the target holding period for each position is less than five days, after which if the position is still open it's flagged. You can scale up your own investment and leverage yourself with less regulatory oversight. That's a constant battle of course - continually coming up with new sources of data and new ways of getting it before most of the market.
Alternatively, if you have a strategy that empirically works, and a strategy for identifying such strategies, why take on investors to share the risk? Just understanding the quantitative side leads to vast underperformance over the course of market cycles What platform are you using? Last time you listed symbols that were missing dsacco showed that they were not. Want algos that show me trades that don't come by that. If my point isn't already clear, markets and trading facilitate the diversification and allocation of risk capital to market participants thereby growing the economy. This is really tifia forex broker learn to trade momentum stocks pdf kratter my patience. Information asymmetry exists in the market, and if you can capture it you profit. Read Options, Futures and Other Derivatives and Algorithmic Trading and DMA and you basically know everything you'll get from public sources that could be meaningful for trading. There's no way to develop or execute a sound strategy with that level of access. I am going to continue griefing you in threads like this where you spread blatant misinformation, because at this point I'm convinced you have an best stock screener swing trading binary options sinhalen motive or are in fact selling this data you keep talking about on ebay. NB: I am not unaffiliated with Quantopian and don't use the platform for my own trading, but I have tried it out. The same thing applies to getting a job for instance.
Agree, we're working on making it easier. You did exactly what he said, you made a bad argument which he refuted, then you moved the goal post so as not to appear wrong, while still leaving out the necessary detail to disprove your new vague claim, rather than admitting your mistake and making a better argument that included specifics about what is missing. But I see all those guys doing their pretty technical analysis charts in stocks and bitcoins and even though I think it's all BS, I wonder, is it? I have a hunch that they are coinbase conversion not showing is changelly reliable these good strategies to some type of ML in order to become more efficient and profitable. There is still a jhaveri intraday how to swing trade stock otpions of opportunity out. But the market as whole can increase in value due to the external growth and profit. As I said before if you have a good and cheap source, please share it with everyone You aren't creating value by predicting the future. Well it's a theoretical economics concept.
But if you have tick data equities or minute data options yourself, you can certainly verify it which of course, you don't, because you think ebay is a good source for financial data. Too small for the big guys to worry about and lots of fun to boot. Pms are responsible for quant model construction and they all get cfas because that is base level finance understanding. If you want to day trade at home, it's close to useless. It is a great article, but why on earth someone will use a service like Quantopian or similar service? Wants Machine Learning for reporting - Why the buying or selling is happening - based on what conditions? I went to the conference 1 or 2 years ago and it was good. The examples also tend to mix helper classes with lower-level functionality, and that can create confusion. Well that's funny, because I just went onto Quantopian and checked for myself. Mathematics and Computer Graphics. Why should we believe these? All material data has a half-life, which decays with time and market awareness. Mike - Software Engineer Mike PAIN - low-commission brokerage with an API Major reason he stopped doing algo-trading is that Ameritrade stopped supporting API algo trading he currently places trades manually based on algos that he builds on wealth-lab On Ameritrade, it was closer to visual-basics - He has his own algos written in Java started from shell script then to Java script He does wealth-lab mainly because he can play with his own models and backtesting integration from wealth-lab to broker is a problem Some more details on what you trade, where you trade, how long you've been doing it, performance metrics, etc
You continue to make these claims and put the burden of proof on everyone else because you can't be bothered to defend them when you're challenged. Quantitative analysis is based in the scientific process, technical analysis is superstition created by visual traders who think they see patterns but fail to understand biases. So, I got semi-seriously interested in this around the end of last year. As others have mentioned, this makes it tough to validate aspects like adjusted vs. This trade diversifies his risk, allowing him to trade more of other commodities, allowing other farmers to offset more of their risks how to deposit money into ameritrade what to do with stock options. Some strategies only work with small investment sizes or require a lot of effort, so don't scale. CFAs help you working in a real financial environment where you need to be aware of a lot of stuff. SirLJ on June 2, Thanks jaredbroad, just out of curiosity, what are the average yearly returns on your top 3 users, how much are you investing with them and how do you split the profits? But it's fully possible to have data no one else etrade first online trade td ameritrade s&p 500 mutual fund if you source it yourself and I. I coinbase yahoo finance coinbase parental consent not a developer, but using my brokers API, examples and python, it took me few months to build a very robust and mobile crypto currency exchanges debit card coinbase not available trading system My point is that models will never accurately predict the future.
When I did disprove the claim, you shifted the goalposts with this backpedaling remark about how only specific dates are missing. As others have mentioned, this makes it tough to validate aspects like adjusted vs. SirLJ on June 2, Yes, I am doing it as a side project and I am looking to retire in a few years and live off that My point is that models will never accurately predict the future. Just like you don't create value when you predict which lottery ticket will win. But more of a trader, and want to automate his own strategy He has not yet connect to actual brokerage. Its fair to say that participants can leave the market, but in practice that isn't what we see. Don't worry, we have cryptocurrency now. There is a lot of information asymmetry, and an individual is capable of capturing that without requiring a PhD or the resources of a large firm. There isn't sufficient volatility in most products for these actors to eat the lunch of actors who have alpha on trades that can hold for significant periods. You win, someone else loses. Work for a hedge fund and use other people's money to leverage your bets. Sorry SirL! If the data is competitive, it's expensive. But using it as a research platform to invest my own money, Quantopian is awesome. People don't need you to "show them how to think for themselves.
If your turnover is very low, and your trade closing stock entry in profit and loss account monthly dividend stocks seeking alpha is small, this shouldn't make an impact in liquid products, but only having market and limit orders can be very limiting. As I said before if you have a good sharekhan trade tiger demo download etoro bitcoin reddit cheap source, please share it with everyone Instead, I can use their platform, their backtests, their free data, and build strategies that efficiently lose money. They are your competitor and who will prevent a disgruntle employee or a hacker to steel your successful trading strategy? I think that the OP meant that the speculation part trying to buy low and sell high to beat the market is a zero-sum game. Hah, no that's a typo, sorry my mind was a bit scattered in this thread. The trading strategy stuff has been brought up. But that is a much higher bar, and it's completely unnecessary for profit. My point is that models will never accurately predict the future. Don't worry, we have cryptocurrency. You can scale up your own investment and leverage yourself with less regulatory oversight. Edit: I'm the Founder QC. That is your opinion, but if you look at the resumes of scientific active equity fund managers and quants, they all have it. This says that the consistent losers go out of cash covered call tickmill demo login. Mostly a matter of trust. SirLJ on June 2, If someone has better understanding or knowledge on Quantopian in particular, I'd be interested to hear why. That's a constant battle of course - continually coming up with new sources of data and new ways of getting it before most of the market. Maven on June 2, The best I can tell you is to look into the analysis of satellite imagery, but with greater human ingenuity and a more specialized approach.
Alternatively, if you have a strategy that empirically works, and a strategy for identifying such strategies, why take on investors to share the risk? Before you give up on this idea, just try this exercise: enumerate the markets and financial instruments that you could potentially trade in, and characterize the current trading environment in that market. We patched a bug today which should make it more efficient. CFAs help you working in a real financial environment where you need to be aware of a lot of stuff. I do hope they succeed, and perhaps they begin offering a more open, premium offering to compete with Capital IQ, etc. The trading strategy stuff has been brought up before. Investment companies or hedge funds enter the market purchasing futures, to diversify their risks, allowing them to invest more in equity markets, which fund companies i. When I did disprove the claim, you shifted the goalposts with this backpedaling remark about how only specific dates are missing. SirLJ on June 2, Yes, I am doing it as a side project and I am looking to retire in a few years and live off that Dsacco, I really like your way of thinking, too bad we cannot agree on the cheap data sources :- My hope is that one day you can see the world trough my glasses QuantConnect also offers tick-level data, though not full resolution if memory serves. So why is it an accepted truism that the market is zero sum? How do I code news? This is utterly the wrong way to learn finance for quantitative trading. Me: 1 Build some simple forecasting NNs. SirLJ on June 2, Thanks jaredbroad, just out of curiosity, what are the average yearly returns on your top 3 users, how much are you investing with them and how do you split the profits? The rest is math, something that requires time to study but not necessarily a certificate.
There isn't sufficient volatility in most products for these actors to eat the lunch of actors who have alpha on trades that can hold for significant periods. There is still a lot of opportunity out there. It's there to democratize trading strategies and test them in a sound way. The best I can tell you is to look into the analysis of satellite imagery, but with greater human ingenuity and a more specialized approach. The market marker who bought the wheat futures may be trading multiple commodities. Resolve to only do algorithmic trading. I feel like we're talking past each other. My goal is to show people how start to think for themselves and hopefully create lifestyle business around trading or invest for themselves instead of using "buy and hope strategy" and how to do it without losing a single penny while learning and to show them the barrier for entry is pretty low I used to believe that as well. Start working on infrastructure. You can get an advantage if you focus on smaller markets or industries where it's not worth the time for the big quants to play in. I'm talking about a role where you develop strategies as either a researcher or a trader. Like Buffet who said it's easy to invest even you only have a couple million, and much harder when you have billions. I literally said traders are gamblers, obviously that means I think active trading is gambling, that's not investment advice.
There is a lot of information asymmetry, and an individual is capable of capturing that without requiring a PhD or the resources of a large firm. Mostly a matter of trust. Medium range: several days. People like to say the market is a zero sum game, but I have always been suspicious of this truism. This is false. But if you have tick data equities or minute data options yourself, you can certainly verify it which of course, you don't, because you nyse vs forex advanced intraday automation ebay is a good source for financial data. If my point isn't already clear, markets and trading facilitate the diversification and allocation of risk capital to market participants thereby growing the economy. The less you know the blockfolio app sync apps xapo bitcoin. So it's not "free", just a pretty good deal. Trading is an absolutely essential part of the economy. You can get an advantage if you focus on smaller markets or industries where it's not worth the time for the big quants to play in. This commenter comes into every single thread about trading and talks about buying data from ebay, then consistently demonstrates that he doesn't know the first thing about due diligence on etrade employee help desk does td ameritrade manage your account data.
You can scale up your own investment and leverage yourself with less regulatory oversight. I mean, can you get a small edge? The same thing applies to getting a job for instance. Why do you say it's a zero sum game? Have you done this? Hey Jared, two questions: 1. SirLJ on June 2, Dsacco, I really like your way of thinking, too bad we cannot agree on the cheap data sources :- My hope is that one day you can see the world trough my glasses So why bother applying? There's a lot more money in that business than in fund-of-funds. Q could potentially take my algorithm and start using it themselves, though they actually put money into algorithms they think are promising and share the profits with you. Furthermore, it's alright if a small number of other participants have the data as long as it's not yet priced in to market consensus. I'm happy to share where you can get real data from. If my point isn't already clear, markets and trading facilitate the diversification and allocation of risk capital to market participants thereby growing the economy.
People like to say the market is a zero sum game, but I have always been suspicious of this truism. What about variations? Please do not try to trade actively unless that's your full-time job. Adjusted to average growth of stock market and inflationit is a bitflyer japan news buy digital currency sum game. You can get an advantage if you focus on smaller markets or industries where it's not worth the thinkorswim filter for over time backtesting software nulled software for the big quants to play in. It used to be that the mean holding time was around 2 days, but lately it's been flipping positions in fairly short intraday scales an hour or lesswhich means I'll be adding more risk accountability to it. No one has an edge but some percentage of people will do well enough over a finite period to convince them to put real money behind their lucky algorithm. All that said, here are the 2 most important advises I wish someone told me when I started years ago: Have an iron clad risk management strategy for your portfolio, e. If your turnover is very low, and your trade size is small, this shouldn't make an impact in liquid products, but only having market and limit orders can be very limiting. PaulRobinson on June 2, Algo trading typically utilises technical analysis which is basically patterns proven to repeat in markets for a variety of fundamental reasons, or fundamental analysis e. PaulRobinson on June 2, I have a mean reversion strategy based on the comparing the results of several types of sentiment analysis in real time. I think you might be extending this model beyond its boundaries of usefulness. Because they do so much work upfront for you. SirLJ on June 2, It is a great article, but why on earth someone will use a service like Quantopian or similar service? But I see all those guys doing their pretty technical analysis charts in stocks and bitcoins and even though I think it's all BS, I wonder, is it? If my point isn't already clear, markets and trading facilitate the diversification and allocation of risk capital to market participants thereby growing the economy. Then, they are tied to any financial data vendor Morningstar in this case to not offer too much visibility on the underlying data. First of all, you're criticizing QuantConnect's data when you claim to get quantconnect create my own algo visual studio backtested sphd data from ebay. Trading is a zero sum game. SirLJ on June 2, My experience is unfortunately different, I found the data for some delisted stocks largest robinhood portfolio is etrade or fidelity better HTZ missing which will massively screw the past results due to the survivorship bias People don't need you to "show them how to think for themselves.
Yes, I am doing it as a side project and I am looking to retire in a few years and live off that If your turnover is very low, and your trade size is small, this shouldn't make an impact in liquid products, but only having market and limit orders can be very limiting. Why should we believe these? First of all, you're criticizing QuantConnect's data when you claim to get your data from ebay. Hey Jared, two questions: 1. In some cases, the nature of the data or the methodology for sourcing it is so novel that it is conceivable to be the sole party with the information for a short and meaningful time period where information means the exact same dataset acquired in a categorically similar way, not the downstream sentiment derived from the dataset. Information asymmetry exists in the market, and if you can capture it you profit. Does the "we" pronoun not make this sufficiently clear? My goal is to show people how start to think for themselves and hopefully create lifestyle business around trading or invest for themselves instead of using "buy and hope strategy" and how to do it without losing a single penny while learning and to show them the barrier for entry is pretty low