Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
5,018 documents
This overview surveys blockchain themes and named projects for 2025, including Layer 1 scalability, institutional adoption, meme coins, presales, gaming identities, and real-world applications. It characterizes BlockDAG as combining directed acyclic graph…
The document describes an OKX AI marketplace where software agents can buy narrowly defined services from other agents, paying per task or through subscriptions. Examples include crypto trading signals, sandboxed code execution, news and social data, token…
The document surveys crypto themes it says were attracting attention in 2025, including DeFi, NFTs, layer-2 networks, AI-linked tokens, meme coins, and utility-oriented projects. It names Bitcoin, Ethereum, and Solana as leading assets, and discusses…
The article describes Theoriq as a platform for AI agents that can answer questions, search, analyze data, and coordinate in groups. It says the agents interact with smart contracts and make micropayments, while Filecoin provides decentralized storage for…
The article surveys possible roles for AI and tokenization in Web3, including AI-assisted DAO governance, tokenized real-world and digital assets, player-owned game economies, AI-driven game characters, and smart contracts that react to external data. It…
The article outlines three possible roles for AI in crypto activity: running trading bots, helping research tokens and projects, and assisting with the creation of crypto products. Its trading discussion mainly points to automated bots as a way to monitor…
The document introduces Donut Browser as a proposed AI-enabled interface that combines web browsing with crypto actions. It says AI agents interpret page context and user intent, then can perform operations such as token swaps, yield farming, and portfolio…
The document reviews cryptocurrency theft patterns, emphasizing phishing and social engineering as major sources of losses in 2024. It reports more than $1 billion lost across 296 phishing incidents and describes a $243 million theft from a Genesis creditor…
This monthly review covers Bitcoin and Ethereum price performance, flows into their spot exchange-traded funds, institutional and political developments, and changes in Ethereum network activity. It links November’s rally to post-election expectations and…
The article introduces AVA as a Solana token associated with Holoworld AI, a project described as creating interactive audiovisual AI characters and 3D avatars. It outlines proposed uses for such characters in areas including education, social media, gaming,…
This strategy uses ALMA as its main trend measure and combines it with EMA levels, RSI, ADX, Bollinger Bands, and ATR. The described long setup requires price above EMA50 and ALMA9, RSI above 30, ADX above 30, price below the Bollinger upper band, and a…
This example trains a random forest classifier each trading day to predict whether a Chinese rubber futures contract will close higher or lower on the next trading day. Its features are three price-derived series labeled as SMA, WMA, and momentum measures,…
This template builds an asset-by-asset classifier ensemble for forecasting whether the next close will be higher than the current close. Its input features are a moving-average based trend measure, the stochastic oscillator, normalized true range, and a…
This research strategy compares four logistic regression approaches on the same candlestick stream: a fixed model, per-bar online updates, periodic retraining on a recent rolling window, and updates triggered by worsening prediction loss. It uses price and…
This strategy pairs an ATR-based SuperTrend with volatility regime classification to generate trend-following entries. It estimates high, medium, and low volatility bands from a rolling ATR range, then conditions direction changes on the assigned regime:…
This example demonstrates a basic text-driven trading rule using custom economic news headlines and NLTK tokenization. It downloads a headline dataset, tokenizes each day’s text, and checks for user-selected positive and negative words. For the SPY equity…
This automated crypto futures system ranks liquid USDT perpetual contracts using a composite score built from four EMA relationships across multiple timeframes. It selects the strongest positive and negative signals, then combines those scores with recent…
The document describes an automated cryptocurrency perpetual futures system organized around data collection, AI decisions, order execution, and position monitoring. It combines short-interval candles for entry timing with longer-interval trend context,…
This educational FMZ strategy expands recent completed OHLCV candles into fixed tabular features and asks TabFM to classify the next candle as up, down, or flat. Price features are expressed relative to the prior close, while volume is scaled against the…
The document outlines an automated process for turning a natural-language crypto factor idea into a calculated signal and evaluation report. A language model identifies the factor’s direction and data needs, generates a JavaScript function, and the workflow…
This document describes a multi-indicator strategy intended to adapt its signals and risk controls to trending, ranging, volatile, or quiet conditions. It combines fast and slow EMAs with ATR thresholds, higher-timeframe RSI and MACD confirmation, and regime…
This example trains a linear support vector classifier on Bitcoin bar opens and closes. It labels each historical bar by whether the next close rises or falls beyond a configurable spread threshold, or stays within that threshold. At each new bar, the model…
This Hummingbot controller listens for machine-learning signals delivered through an MQTT topic. Each signal provides probabilities for short, neutral, and long outcomes; configurable short and long thresholds determine whether the controller records a short…
This trading framework combines moving-average crosses, RSI extremes, MACD crosses, and Bollinger Band touches. It counts bullish and bearish signals and opens a position when one side reaches a threshold and outnumbers the opposing signals. The described…