Topic: Forecasting Altcoin "Daily Price Change" Winners and Losers - page 2. (Read 4279 times)
Keep up the good work, this is something that can get big!
Gustav and Xardas,
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
please link us the articel here as soon as it is published. Since i think pricechange depends on a lot of factors of which not every one is a quantitative one. Since prices are multicausal the formula should become better the more influences are captchered in it. For example: Buy/sell depth on the books and how exactly it is distributed and changes is one thing. History data is another thing, then the overall mood of the market, then the blockrewarddecrease, then the change in networkhashrate and other thing. Then when you got it running and are giving out predictions regularly and gain attention you would have to factor in also the influence of your predictions (maybe deriven from views per day of your website) - there is many factors to consider. If you can catch the bigger picture it should be possible to get something useful from it. I will be watching this thread and waiting for the published first formula. Good luck with this.
Agree 100%. The price change probably depends on a good amount of factors. Unfortunately, all possible variables aren't available in one location where I can pull all the data for each of the 100+ coins and analyze it across all cryptocurrencies. Given time, I think this may be possible though. For now, we can try to improve the model and see what is working and what is not. Ideally, we'd get decent results with what we do have, which could only be improved upon once more data becomes more easily accessible or available.
i guess you could also pull your data directly from first sources instead of using coinmarketcap.com
Why not use exchange-api and pull data of networks directly from the walletclients (should be possible - i don't know exactly how though. You'd need some expert on this who can tell you how to pull data from first sources). All the data can be accessed already in realtime with highest accuracy. coinmarketcap.com is a mix of data from differet exchanges. Other pages calculate slightly different numbers. I am not an expert on the technical side. You'd need possibly someone who can tell you how to pull in the most accurate data in realtime. It is possible. That will be a some effort though to set that up for each coin. I'd recommend you look for a technical expert who can tell you where to get your desired data from in the most convinient way. Data is there already - you only need to know how to access.
Someone help this guy to get him accurate realtime data!
Gustav and Xardas,
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
please link us the articel here as soon as it is published. Since i think pricechange depends on a lot of factors of which not every one is a quantitative one. Since prices are multicausal the formula should become better the more influences are captchered in it. For example: Buy/sell depth on the books and how exactly it is distributed and changes is one thing. History data is another thing, then the overall mood of the market, then the blockrewarddecrease, then the change in networkhashrate and other thing. Then when you got it running and are giving out predictions regularly and gain attention you would have to factor in also the influence of your predictions (maybe deriven from views per day of your website) - there is many factors to consider. If you can catch the bigger picture it should be possible to get something useful from it. I will be watching this thread and waiting for the published first formula. Good luck with this.
Agree 100%. The price change probably depends on a good amount of factors. Unfortunately, all possible variables aren't available in one location where I can pull all the data for each of the 100+ coins and analyze it across all cryptocurrencies. Given time, I think this may be possible though. For now, we can try to improve the model and see what is working and what is not. Ideally, we'd get decent results with what we do have, which could only be improved upon once more data becomes more easily accessible or available.
Gustav and Xardas,
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
please link us the articel here as soon as it is published. Since i think pricechange depends on a lot of factors of which not every one is a quantitative one. Since prices are multicausal the formula should become better the more influences are captchered in it. For example: Buy/sell depth on the books and how exactly it is distributed and changes is one thing. History data is another thing, then the overall mood of the market, then the blockrewarddecrease, then the change in networkhashrate and other thing. Then when you got it running and are giving out predictions regularly and gain attention you would have to factor in also the influence of your predictions (maybe deriven from views per day of your website) - there is many factors to consider. If you can catch the bigger picture it should be possible to get something useful from it. I will be watching this thread and waiting for the published first formula. Good luck with this.
Gustav and Xardas,
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
Like you I don't know much when it comes to programming etc.
I am aware that you can get excel to auto pull data using macros. I don't know how to do this though, might be worth looking in to.
Here's the model's picks for today and thier price at the time the model was ran:
Losers
QQCoin 0.003
QubitCoin 0.00043
Premine 0.076
Phoenixcoin 0.0018
ProsperCoin 0.028
Winners
Pxlcoin 0.014
FlappyCoin 0.0000062
Primecoin 1.22
Quark 0.03
RedCoin 0.0046
Losers
QQCoin 0.003
QubitCoin 0.00043
Premine 0.076
Phoenixcoin 0.0018
ProsperCoin 0.028
Winners
Pxlcoin 0.014
FlappyCoin 0.0000062
Primecoin 1.22
Quark 0.03
RedCoin 0.0046
Gustav and Xardas,
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
I understand your point of view and I think it actually makes sense. In a sense, anyone who publicly picks stocks can alter preferences, and due to that, could potentially increase demand/prices of recommended stocks. The point is valid. That said, the formula should be altered repetitively (and regressions rerun repetitively) in order to adjust for new historical data. If I do post the regression results, it will be in an academic journal.
But, getting back to posting results and boosting demand, I suppose that's an additional reason why this "could" work. But, what I was aiming to do was really test the theory here. Nothing more. I wasn't willing to toss too much money into this, and as the guy who created the model saying that I wouldn't bet on it (yet),... it would be crazy to invest your own money. Thus far, some days have worked, others not so much. But, on net, I think it's working to a degree, as winners are up. To give a bit of insight, I feel my formula is pretty much based on economic theory and swings. When I say swings, I mean it's not surprising that stocks (or in this case altcoins) that have huge swings would revert back to a mean. Since, it's a panel regression model, this is particularly true because we can measure "relative" swings from coin vs coin in variables. I use the variables on coinmarketcap.com to construct the model.
Like I've said, I'd love to figure out how to run the model consistently and do it in an easier fashion. Meaning, I'm a statistics/econ guy, not a programmer. The regressions are easy. But, I'm manually pulling the data off coinmarketcap.com. Then, I'm adjusting the data, which is labor intensive. Then, I'm plugging in the forecasted model to create a price change for each coin. The process is a pain in the ass and it's becoming more complicated as new coins enter the market. This is one reason I haven't been able to really keep up with it as much as I would have liked.
Ideally, I'd be the regression guy. That's it. That's where my experience comes from. The data pulling, the programming, etc... I'm not efficient with that. There's probably a way to do this in an easy manner if the community really wanted to get behind it. I mean, the truth is it could be automated. But, who knows if that will ever happen. Time will tell there.
definitely missed the boat on the blackcoin shenanigans.
I went ahead and dubbed these "Aurora-pumps"
I went ahead and dubbed these "Aurora-pumps"
can op show us the formula?
This could also be the most sophisticated scam we will ever get to see. Imagine the guy tells you 'i am doing it based on past data' while he is actually buying and selling himself on exchange to make the thing fit. After gaining fellows like any other guru he could then command his own pumper and dumper army ... just a thought. Or why is the mathguy hanging out in this forum but is not brave enough to invest only 5$ but on the other hand has a lot of time for threads and is well educated about alts. Sorry op, didn't want to piss off, but i am overly sceptical i think - i got my reasons.
Formula or it didn't happen
I can also give out predictions and then go on exchange and make it happen. Maybe wolong/fontas just got mathematical
This could also be the most sophisticated scam we will ever get to see. Imagine the guy tells you 'i am doing it based on past data' while he is actually buying and selling himself on exchange to make the thing fit. After gaining fellows like any other guru he could then command his own pumper and dumper army ... just a thought. Or why is the mathguy hanging out in this forum but is not brave enough to invest only 5$ but on the other hand has a lot of time for threads and is well educated about alts. Sorry op, didn't want to piss off, but i am overly sceptical i think - i got my reasons.
Formula or it didn't happen
I can also give out predictions and then go on exchange and make it happen. Maybe wolong/fontas just got mathematical
I like your work, I'll be watching
One thing seemingly overlooked, yet rather important: By posting your predictions on a public forum the prices can be influenced by that alone. I suggest you get some trusted community testers, keep it all private, analyze your formulas performance and adjust it, then post or sell the formula....which could be verified by the trusted community testers.
By simply posting the info as you are now, it is not really different from a P&D.
By simply posting the info as you are now, it is not really different from a P&D.
Your model does seem to work.
A site sounds interesting, I will keep checking back here for updates.
Keep up the good work!
A site sounds interesting, I will keep checking back here for updates.
Keep up the good work!
To get back on the horse, here's the picks for 3/14 for the biggest price changes over the next day:
Winners:
BattleCoin
Premine
MazaCoin
Pandacoin (PND)
VelocityCoin
Losers:
Grain
BlackCoin
Dimecoin
ContinuumCoin
ProsperCoin
Winners:
BattleCoin
Premine
MazaCoin
Pandacoin (PND)
VelocityCoin
Losers:
Grain
BlackCoin
Dimecoin
ContinuumCoin
ProsperCoin
I've been following this thread since the start with great interest.
Results would have been loads better if the "high" was recorded for each coin, but that would take more time etc which is why I guess you recorded it as you have.
Please continue!
Results would have been loads better if the "high" was recorded for each coin, but that would take more time etc which is why I guess you recorded it as you have.
Please continue!
Yeh. I've been trying to create a site so I can post the picks up over the past few days. Truth is, for most coins (that have existed for sufficient time), an estimated daily growth rate forecast can be produced every day. But, like you said, that takes time and unfortunately I don't really have the time to do this every day then post every single coin's forecast, yet I am creating them.... for every coin and doing all of the above for free. I will keep on trying to load the model though.
I've been following this thread since the start with great interest.
Results would have been loads better if the "high" was recorded for each coin, but that would take more time etc which is why I guess you recorded it as you have.
Please continue!
Results would have been loads better if the "high" was recorded for each coin, but that would take more time etc which is why I guess you recorded it as you have.
Please continue!
Today's picks:
Winners:
Blakecoin
Unobtanium
Particle
Globe
Pandacoin (PND)
Losers:
ZenithCoin
Electric
Karmacoin
microCoin
PiggyCoin
Winners:
Blakecoin
Unobtanium
Particle
Globe
Pandacoin (PND)
Losers:
ZenithCoin
Electric
Karmacoin
microCoin
PiggyCoin
Final status of yesterday's picks...
Winners: % Gain since Yesterday
BatCoin 106%
Anoncoin 19%
Dimecoin -13%
Infinitecoin -6%
Colossuscoin -6%
AVERAGE 20%
Losers: % Gain since Yesterday
Unobtanium -26%
Mastercoin -9%
RonPaulCoin -4%
TagCoin 2%
DuckDuckCoin 0%
AVERAGE -7%
Bitcoin 0%
Since I've started posting picks the winners picks are up an average of 9% "daily". The losers are down an average of 7% "daily". And Bitcoin is down an average of 1% "daily".
Winners: % Gain since Yesterday
BatCoin 106%
Anoncoin 19%
Dimecoin -13%
Infinitecoin -6%
Colossuscoin -6%
AVERAGE 20%
Losers: % Gain since Yesterday
Unobtanium -26%
Mastercoin -9%
RonPaulCoin -4%
TagCoin 2%
DuckDuckCoin 0%
AVERAGE -7%
Bitcoin 0%
Since I've started posting picks the winners picks are up an average of 9% "daily". The losers are down an average of 7% "daily". And Bitcoin is down an average of 1% "daily".
Since posting earlier today, here's the picks status:
Winners:
BatCoin -2%
Anoncoin 3%
Dimecoin 19%
Infinitecoin 3%
Colossuscoin -6%
Average: 3%
Losers:
Unobtanium -2%
Mastercoin -22%
RonPaulCoin 12%
TagCoin 0%
DuckDuckCoin -12%
Average: -5%
Bitcoin: -2%
Winners:
BatCoin -2%
Anoncoin 3%
Dimecoin 19%
Infinitecoin 3%
Colossuscoin -6%
Average: 3%
Losers:
Unobtanium -2%
Mastercoin -22%
RonPaulCoin 12%
TagCoin 0%
DuckDuckCoin -12%
Average: -5%
Bitcoin: -2%
Today's picks:
Winners:
BatCoin
Anoncoin
Dimecoin
Infinitecoin
Colossuscoin
Losers:
Unobtanium
Mastercoin
RonPaulCoin
TagCoin
DuckDuckCoin
Winners:
BatCoin
Anoncoin
Dimecoin
Infinitecoin
Colossuscoin
Losers:
Unobtanium
Mastercoin
RonPaulCoin
TagCoin
DuckDuckCoin
Hey doing great so far.
Take the day off. You've done good work!
Take the day off. You've done good work!
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