The inner machinations of the mind of cryptocurrency markets are an enigma. Even traditional stock markets often seem to behave at random, to the point that several economists seriously suggest that various non-human animals might outperform one market or another just by random chance alone. The classic example is a monkey picking stocks at random, but in the modern world the hamster [Mr Goxx] actively trades crypto from inside his hamster cage.
[Mr Goxx]’s home comprises a normal apartment and a separate office where he can make his trades. The office contains an “intention wheel” where he can run in order to select a currency to trade, and two tunnels that [Mr Goxx] can use to declare his intention to buy or sell the currency he selected with the wheel. The wheel is connected to an Arduino Nano with an optical encoder, and the Nano also detects the hamster’s presence in the “buy” or “sell” tunnel and lights up status LEDs when he wants to execute a trade. The Nano also communicates with an intricate Java program which overlays information on the live video feed and also executes the trades in real life with real money.
Live updates are sent directly both on Twitter and Reddit, besides the live Twitch stream of [Mr Goxx] we linked above. The stream only shows his office and not his apartment, and he’s mostly active at night (Berlin time). But we can’t wait for his random walks to yield long-term results which can be analyzed for years to come. In the meantime we’ll see if others have been able to make any profits in crypto with any less-random methods.
If you’ve been on the internet lately, you’ve been bombarded by stories about retail traders attempting to beat Wall Street at their own game by trying to force a short squeeze on GameStop stock. It’s inspired memes, songs, and all manner of political discourse, along with this cute stock-tracking device built by [dickdemodickmarcinko].
The device is based on the typical exhortation that a given stock or cryptocurrency is going “to the moon”, i.e. skyrocketing upwards to great heights. IT consists of an ESP8266 in a 3D printed housing, with a HD44780 alphanumeric LCD displaying the GME stock price and percentage change over time. The microcontroller also controls a stepper motor, which rotates a 3D-printed rocketship up or down relative to the stock’s price changes. If it’s pointing straight up, prospects are good for those holding the stock!
Whether or not the GME squeeze happens, the build is a fun way to learn about electronics and the stock market at the same time, and could be readily repurposed to track other markets in future. We’ve featured other price trackers before, like this traffic light keeping an eye on Bitcoin. Video after the break.
It’s high summer here in North America, and for a lot of us, this one has been a scorcher. Media reports have been filled with coverage of heat wave after heat wave, with temperature records falling like dominoes.
But as they say, it’s not the heat, it’s the humidity, and that was painfully true in the first week of July as a slug of tropical air settled into the northeast United States. With dewpoints well into the 70s (25°C plus) and air temperatures pushing the century-mark (38°C), people suffered and systems from transportation to the electrical grid strained under the load. But as punishing as such soupy conditions are for people, there are other effects that are less well known but of critical importance to financial markets, where increased humidity can lead to billion-dollar losses for markets. Welcome to the weird world of high-frequency trading.
[XenonJohn] dabbles in cryptocurrency trading, and when he saw an opportunity to buy an RGB color sensor, his immediate thought — which he admitted to us would probably not be the immediate thought of most normal people — was that he could point it to his laptop screen and have it analyze the ratio of green (buy) orders to red (sell) orders being made for crypto trading. In theory, if at a given moment there are more people looking to buy than there are people looking to sell, the value of a commodity could be expected to go up slightly in the short-term. The reverse is true if a lot of sell orders coming in relative to buy orders. Having this information and possibly acting on it could be useful, but then again it might not. Either way, as far as out-of-left-field project ideas go, promoting an RGB color sensor to Cryptocurrency Trading Advisor is a pretty good one.
Since the RGB sensor only sees what is directly in front of it, [XenonJohn] assembled a sort of simple light guide. By enclosing the area of the screen that contains orders in foil-lined cardboard, the sensor can get a general approximation of the amount of red (sell orders) versus green (buy orders). The data gets read by an Arduino which does a simple analysis and sends alerts when a threshold is crossed. He dubbed it the Crypto-Eye, and a video demo is embedded below.
Continue reading “RGB Sensor’s New Job: Cryptocurrency Trade Advisor”
While Bitcoin and other altcoins are all the rage these days, there is still a lot of activity in the traditional currency exchanges. Believe it or not, there’s money to be made there as well, although it rarely makes fanciful news stories like cryptocurrency has been. Traditional currency trading can be done similar to picking stocks, but if you’d rather automate your particular trading algorithm you can set up a Raspberry Pi to make money by trading money.
This particular project by [dmitry] trades currency on the Forex exchange using an already-existing currency trading software package called MetaTrader. This isn’t an ARM-compatible software suite though, so some auxiliary programs (Wine and ExaGear Desktop) need to be installed to get it working properly. From there, its easy enough to start trading in government-backed currency while reaping all of the low-power-usage benefits that the Pi offers.
[dmitry] does note that you can easily use MetaTrader on a standard laptop, but you might be tempted to go against your trading algorithms and even then you won’t be reaping the power benefits of the ARM processor. We don’t see too many traditional currency or stock trading tips around here, but don’t forget that it’s still possible to mine some types of cryptocurrency even if BitCoin is out of reach of most now.
Pokemon is a great game by itself, but when you realize that not all of the ‘mon are available in one game, trading is required for completion, and some pokemon aren’t available without either hacking or going to a Toys ‘R Us in 1997, you start to see how insidious this game can be. Figuring he could finally complete the game with an Arduino, [Pepijn] decided to build a pokemon storage system.
This build was inspired by an earlier post that also spoofed trades. Instead of building this project around a high-power micro, [Pepijn] decided to use an Arduino. The protocol Game Boys use to communicate with each other is extremely well documented, although that’s only half the battle. Each game using the link cable used specialized data structures for transfer, and after grepping through a disassembled Pokemon ROM, [Pepijn] figured out how everything worked.
The completed hardware keeps one Pokemon in the EEPROM of an Arduino. It’s not very fast if you want to catch all 151 Pokemon in the Gen 1 games, but any way you look at it, you’re going to be catching a lot of Magikarp anyway.