algorithmic-trading

Game websites look simple from the outside. A player searches for an item, finds its value, and moves on. But once you are responsible for maintaining that information, you quickly realize that the difficult part isn't displaying the number. The difficult part is keeping the number useful. I ran into this problem while working on a Blox Fruits trading resource at https://bloxfruitvaluez.com . Blo…

Scientific Reports, Published online: 22 August 2026; doi:10.1038/s41598-026-66140-w Multi-party transaction optimization decision-making in microgrid electricity market based on blockchain Berge-NS equilibrium

Discover the best crypto trading bots for 2026, featuring smart automation and customization options to elevate your trading strategies. The post Best Crypto Trading Bots for Active Traders in 2026 appeared first on Tickerly .

The scariest bug in a backtest (the thing that estimates a strategy's returns on past price moves) isn't a crash. It's accidentally using tomorrow's price. It's called lookahead bias, and if you let even a sliver of tomorrow's close leak into today's math, your strategy turns into a prophet. The backtest numbers glow. Then you ship it live and it melts on contact. And the code never throws a sing…

Every trading bot post ends the same way: a green equity curve and a suspicious silence about whether it made real money. This post is the other one. I spent months building an algorithmic trading system, tested it as honestly as I know how, and here is the headline result: My best strategy returned +4.33% over three years of out-of-sample testing. Buying Bitcoin once and holding it returned +127…

AlgoCloud has recently introduced a wide range of major improvements and completely new features. One of the most significant additions is the new Analytics section, which provides a much clearer picture of how your strategies perform, how much capital they use, and what is happening inside your portfolio. The main dashboard gives you a quick overview […]

The Quest Begins (The “Why”) Honestly, I was staring at a candlestick chart at 2 a.m., coffee gone cold, wondering why my “gut feeling” trades kept landing me in the red. I’d read a dozen blog posts that shouted “use moving averages!” and “RSI is your friend!” but every time I tried to slap them together in a script, I ended up with a tangled mess of loops, off‑by‑one errors, and signals that loo…

Originally published at flashalpha.com . If you are comparing these two, you are probably not choosing between them. Most desks that run FlashAlpha also have Bloomberg in the building. The useful question is narrower: can the terminal you already pay for feed your systematic options research? Usually it cannot, and the reason is quotas rather than quality. Full disclosure: I built FlashAlpha. Blo…

A hedge fund beat every frontier model it tested In June 2026, Bridgewater’s AIA Labs published results with Thinking Machines Lab on six information-triage tasks drawn from their investors’ daily work, including whether a news article is relevant to a macro investor, whether a central bank document signals a rate move, and where boilerplate begins […] The post How to Differentiate When Everyone …

If you build features for Numerai Signals from fundamentals, the single most common way to silently overstate your live performance is joining on the wrong date. Most fundamentals vendors ship data keyed by fiscal period end or a generic "report date" that gets overwritten on every revision. Neither tells you when the number was actually knowable. Numerai's tournament resolves against real future…

The Quest Begins (The "Why") I still remember the first time I watched my shiny new mean‑reversion bot blow up a simulated account in under two minutes. It was like watching a hero charge straight into a dragon’s lair without a shield—cool moves, but instantly toast. The culprit? I was sizing every trade with a fixed 1% of equity, ignoring volatility, and slapping on a stop‑loss that was tighter …