Altcoins: I Spent 10 YEARS Building This Secret Crypto Trading Tool (Open Source!) 🤯
## Quantitative Trend Analysis and Browser-Based Forecasting
The Datamine Network has introduced a client-side quantitative forecasting tool developed over a ten-year period. Built entirely in TypeScript, this serverless browser application eliminates the need for server-side processing, running statistical trend calculations directly on the client side. The primary objective of the tool is to identify and visualize mathematically proven market support and resistance lines across both legacy and cryptocurrency assets, including the S&P 500, Bitcoin, Ethereum, and Datamine's native tokens like DAM and FLUX.
### Eliminating Market Noise Through Filtering
A core feature of the analytical interface is the ability to filter out insignificant price movements, which often obscure true market trends. Users can adjust parameters such as "min head duration" and "forecasted length" to refine their charts. "Head duration" measures the distance between the start of a trend and a previous significant price bounce. By increasing this metric (for instance, to 50 days), short-term noise is stripped away, revealing historically significant support zones where traders can formulate lower-risk entry hypotheses.
### The Smart DCA Simulation Engine
To assist with risk management, the tool features a built-in historical backtesting simulator. Operating with a starting hypothetical allocation of 10,000, users can configure and test various Dollar Cost Averaging (DCA) strategies. The simulator evaluates entry and exit thresholds based on active trend lines, accounting for market factors like spread. Rather than promising unrealistic profits, the system emphasizes "losing money slower" during prolonged bear markets, as demonstrated with highly volatile assets like Cardano. Users can auto-scan various statistical permutations to find optimized trading models that minimize drawdowns.
### Gamifying Market Pressure and Open-Source Collaboration
The platform also introduces a gamified interface that translates complex technical data into a real-time visualization of "bulls versus bears." Market pressure within defined price bands (e.g., plus or minus 9%) is calculated to determine current winning metrics, which are presented as character-based achievements in a game-like field. Because the codebase is fully open-source, developers can fork the repository, import custom token data, and contribute to discovering universal mathematical patterns in global markets.
🎥 Video Transcript
Guys, so I want to show you guys a really cool tool that I've been working on for the past I would say 10 years. And uh you know originally I would say there were three ideas in my head and uh one of them was data mine uh you know so basically this whole um ecosystem for D5 that we built and a big portion of it was always forecasting. So forecasting was sort of built into data mine at one point. But I what I did is basically I I just took it out and I put it all onto client side. So it's no longer server side. Now it's just a um TypeScript app that runs in browser and what it can do is it can analyze data and find trends. So it's uh quant as in it finds you the trends that are in a data. Um and uh it's like mathematically proven that the trend is there, right? Because you can see it. So uh yeah, so I mean I guess in my head that's sort of how I I always saw data is like okay it's just a bunch of trends but now I can just use this tool and visualize it. So uh for example, here's S&P from the beginning and here's all the trends. Um if we zoom in you know we can see like okay here are all the trends these are all the supports it just looks like chaos right there's so many trends so this is why the filtering on top exists what you can do is you can say um let's go with min head duration so what you can do is you can see how all of these are trends well if you think about it they're not really good trends because they just started like you know like it didn't really bounce off anything. So to me this is noise, right? So if you increase head duration let's say to 20 days and we zoom in again. You can see how okay all of a sudden this is a little bit cleaner and uh it's basically this I'll just here it's basically head is the distance this distance between the start of a trend. So you can you're basically saying okay everything before that must be empty because it must have been a bounce something and you can increase it let's say 50 days right now if you zoom in you can see how much stronger that trend is so I'll probably increase the you know make increase the number here so you can go even more like years um out but you can see as you increase the the days in between the trends look a lot more realistic so a lot less noise as well. And and then you can see where the support lines really are, right? So you can see here, you know, this would be a support, this would be a support, this would be support. Um yeah, and then and from this you can uh use it to your advantage like you can just take a look at and see how how's the market doing? Okay, we have a little bit of resistance, right? And uh but is it resistance? Like if you look at this trend, you know, that's a very short trend. So what we can do is we can say hey it must be at least like 30 days you know what make it 50 days it must be going for 50 days and um what we're also going to say is if you zoom in here okay so do you see how this is a trend I mean technically there's nothing before this trend and it's been going on for 50 days but the distance between here and the forecasted length it's just too short, right? It hasn't really formed that trend yet. So, what you can do is you can say drag this to 50. And now all of that noise is gone. Okay. So, now if you look, all the noise is gone. There aren't like a bunch of trends all along the way here. There isn't in here. And then if you look, okay, well, we're kind of far from any support from real support, right? So, to me, this is kind of a dangerous game, right? Let's say you were um to go and buy uh nowadays like in a stock will you could you go up? I mean yeah but it's always safer to buy like closer to a trend because your thesis is hey it's not going to break this tren or maybe it's not going to break this one or maybe it's not going to break this one. Um right and basically this is your like thesis is like it's not going to break or maybe you're coming at it from the opposite direction. you're going to say, "Hey, this is going to break and this is going to break and this is going to break." So, yeah. I mean, um the thing is I cannot tell you which way it's going to go, but I can show you where those trends are automatically. And of course, we can, you know, we can select like Bitcoin. Here's what Bitcoin looks like. We can say Ethereum. Here's what Ethereum looks like. And then, you know, we can say like, okay, well, why why don't I see trends here? You can, right? If you just modify this slightly, let's say 25. Okay, there's your trends. You can see, you know, you feel that Ethereum pressure, but then you can see this Ethereum pressure, right? Um, and let's say Sena, right? Um, up to 2023, Cardano. Look at Cardano up to 23. It's just downward pressure. It's closed. It's heavy like scary to get in, right? So your thesis could be like look if we break out of this and we're here somewhere here maybe maybe I'll buy you know or maybe I I'll say hey I I think this support is going to break I don't think this is strong enough so yeah uh you can even like uh our coin data min is here as well and um I think you know where do I see like what's next for this project well it will evolve right I'll add the ability to import your own data so maybe you know you can um come in and import your coin, maybe uh exporting it and sharing it with others. I mean, there's so many possibilities because now it's all open source and it's all on a client. Uh we can do cool things and uh here are some cool new features. So now there's simulation. What simulation is is basically a way for you to say, okay, let's pick something like S&P. So you can see bunch of buys here. And basically what this does is basically it gives you $10,000 to a uh to like a simulation and it says find an algorithm that will use the trans data uh to get as much reward back as possible. So and the way we do this uh so like you can see some numbers here you know that so if you were to use these numbers uh basically what you're saying is okay as long as you're making 20% per year and it is within 40% of the current price um then you can sell it um and and make sure that there is no other trend like this in within 15 uh%. So that's sort of the theory, but it's very complicated for me to say like I mean you can just play around with these numbers. Okay, if I change this to 10, I get different numbers. Okay, now it's 37. So it's not as profitable. You know, I change this to 50. Um or okay, so 60, right? So okay, let's change this number. Say I I want to make at least 10% there. Okay, maybe about 15. 15. KC. So basically the value below changes the amount of trades change where it enters. Uh and then there's so many cool things here like you can say okay instead of using a percentage every time use a fixed amount. So now if I say uh every time use $500 uh to buy and you can say like okay if you use this you would have like invested 15,000 get back 19. And this is also in accounting for things like spread and then you can specify like when do you want to start trading. I specifically started trading here on this dip because I wanted to see how it would perform when markets aren't just going up. Like for example, if you enter from 1999, it doesn't really matter what you did, right? You will make money. So a good example of this is Cardano. Uh you know, if you're just like uh okay, let's take a look at Cardano. I I picked this because it's a hard time. So it's literally just losing money, right? It's hard to enter anywhere because the chart is just going down. So how would it perform? And then you know with these numbers it would do it like this and then you can click this button and we'll scan all the like different possibilities not all but there's like a sample size of possibilities and it'll say here is like what I find you know it was these numbers I would perform like this. So if you look this like if I if I were to trade like this I would only lose 34%. But you would lose 53% if you take $12,000 and put it in the beginning. So, it's like smart DCA, right? Do you see what I mean? And of course, like what I'm showing you is it's not like just about making money. It's about losing money slowly. So, um, pretty cool. And like Dogecoin, I mean, there's some crazy, you know, things like for example, if I go here, uh, let's see. So, we're going to run the same analysis on Dogecoin. And then, okay, look at this. So it basically found that if it makes 17 trades uh from this time from 2022 uh you would have had 26,000 but at the same time if you you took $8,500 and put it in the beginning you would you would have 409%. So it doesn't mean it's like the most efficient play sometimes, right? So like I'm showing you like yeah you might not lose as much but you might also not gain as much. Uh you might even Yeah. So and then you know there's a bunch of different things here. So you can see like some some things will trade more uh for example 125 trades. Uh and this trading method is different. It's using the um so it actually sells and you can see here um where it enters and when it sells like you know it entered a bunch and as some trends broke it's like hey I'm going to get out because this is scary. Yeah I'm going to lose money. Uh, and anything that's like no green line, it means it's still holding. So, it means it's still holding on this trade. It's um, you know, still holding on this trade. Still holding. So, pretty cool. Um, I still, of course, you know, this is work in progress. I'm just showing you how far I've gotten. So, yeah, pretty crazy. I mean, um, really fun. I think like you can just you'll be able to play with this soon. I I mean, really just testing it at this point. By the way, this is what S&P looks like with a bunch of trading. If you were to use the same thing you used on uh on that coin and you applied to uh to bitcoin um sorry to S&P you would have had 34% ROI. So basically what is the point of all this? Well, what I'm really trying to do is I'm trying to find if there is a universal pattern in the world, right? Is there such a thing like are we living in a simulation you so can I apply a set of mathematical rules against trends? Right? If you look at trends, can I apply some math that says it is likely that this won't break if maybe there's a bunch of trends under it or maybe you know it's like maybe maybe something. So, um, it's also still like, uh, I guess a way to get this out in the world because I think, you know, we we all talk about trends, but it's much easier to see them, right? They're there and you don't need to go and chart them yourself. You can just come here and take a look. Um, and yeah, the data here is not real time right now. Oh, you know, it's like it's just a snapshot of data and only limited sources, but maybe there's bugs like so, uh, I'll show you one more cool thing. So, there's this thing which is still in progress. I'm still just kind of playing around with this idea, but I think sometimes I just, you know, I want to wake up in the morning and I want say, how are the markets doing today? And I don't want to look at trends. I want to look at some like video game, right? And for me, um, I I just see a bunch of animals here. It's weird. I don't know what's happening. But if you look uh basically what it's saying is the price like plus plus - 9% right now the winning power are the bulls right and you basically have this if you okay let's take a look at trends. So so to explain exactly what's happening. So you see this trend here. Uh if we look here this is one. It's basically saying you know what uh within 9% 10% plus - 9% uh I'm winning and there's absolutely no um there is no downtrends and if we take a look at something like Cardano it's a very different story there is uh basically within 30% there is some resistance and um it's pretty big resistance but at the same time we have some support uh you above like 8,000 of support. So, this kind of is like a pretty close battle. Like, you know, 4,000 versus um 9,000. So, it's pretty close. But if you look at something like S&P, it's not even close. I mean, you have like gigantic numbers here. Look at these guys. Uh and there's like different levels to uh so each thing is a trend and you know, there's like different levels meaning it's like you get achievements uh for each trend. So there's a lot of ideas, but if I were to look at it, I would say the bulls are winning right now, right? Or at the time of this and if I look at uh if I look at Cardano, I I would say the bulls are winning. But this doesn't look like the bulls are winning. But if you look here, they are. So you know, I that could be my bet, my my my thesis. Remember, behind each trade, you want to you want a thesis like I think for me, it's not about when you hold, it's like when do I buy? Like if I were to dollar cost average, when is a good time to buy? So, um, same thing here. Damn, you know, look at our price. Like, not bad, but you can actually see it's not bad, right? Because of this. And if if I go here, yeah, I mean, it's it's all just support. You know, there's more trends. Uh, the the lower the data is, the more trends you get. And it shows in the game as well. So, yeah. I mean, I think for this video, it's like it's pretty much it. I I just wanted to show you guys some progress. Um I'm working on it and um really just kind of polish before the release and I just hope people don't think I'm crazy because I don't know I I keep talking about trends and uh it's just I think this was a very useful tool and you know open source you can fork it and continue my work and be like do some other stuff with it. I I don't know. It's just uh Yep.