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.
4,510 documents
The document outlines a general approach to speculative cryptocurrency trading, with attention to meme coins and newly popular tokens. It suggests looking at market measures, social and community activity, blockchain analytics, and large wallet movements to…
The document surveys speculative token trading, especially meme coins, and describes how traders may look for early interest using market metrics, social media activity, community engagement, blockchain analytics, and wallet tracking. It also outlines…
The article assesses SUI after a reported breakout from a multi-month symmetrical triangle. It combines chart structure with volume, a stated resistance band and liquidation concentration, exchange outflows, and sentiment measures. The author interprets…
The document presents spot Bitcoin ETF flows as a gauge of institutional demand and compares them with futures open interest, options positioning, funding rates, and a short-term moving average. It reports a rebound in Bitcoin ETF inflows after two weeks of…
The document reviews Grayscale Bitcoin Trust’s conversion from an over-the-counter product to a spot Bitcoin ETF, its former net asset value discount, and the effects of fees and competition. It describes the lower-fee Bitcoin Mini Trust as Grayscale’s…
The document profiles PIPPIN, a Solana memecoin built around an AI-generated character and community contributions under a public-domain model. It describes the token’s AI-themed social activity and points to online attention, liquidity, and short squeezes…
This document describes a trading interface that combines real-time headlines, price charts, account equity, and position information in one panel. News from two feed categories is normalized into a common record format, filtered by user-specified keywords,…
This workflow collects a trader’s proposed perpetual-contract trade and checks it against several data sources before the trader decides whether to act. A recurring prompt gathers the symbol, direction, size, and rationale; if the trader does not respond in…
This article describes an AI-assisted crypto trading workflow that combines scheduled market analysis with human approval before routine purchases. Its demonstration strategy is dollar-cost averaging: a base amount is adjusted between zero and twice that…
This platform guide describes a visual, node-based workflow for connecting market data, external information, analysis, decision logic, and trade execution. It outlines node categories for AI analysis and agents, data transformation, flow control, custom…
This beginner guide surveys six crypto approaches: long-term holding, intraday trading, scalping, swing trading, RSI-based trading, and avoiding pump-and-dump groups. It presents dollar-cost averaging as a way to spread purchases over time, and describes…
The article presents a dashboard approach to assessing Bitcoin and broader crypto market conditions. It groups indicators into macro supply and market capitalization, capital flows, exchange balances, derivatives positioning, and on-chain or miner measures.…
The article outlines a crypto investing assistant that combines periodic market-data collection, AI-generated analysis, human approval, and exchange execution. Its example applies dollar-cost averaging to spot purchases, adjusting the baseline contribution…
The article presents a single-instrument trading system that cycles through market perception, decision, execution, trade review, and playbook updates. It structures technical indicators covering trend, momentum, volatility, and volume, and combines that…
The document describes a two-sided BTC grid strategy managed by a workflow that checks market volatility before initialization and runs the grid on a recurring candle trigger. When configured position or price conditions suggest the market has moved beyond…
The article outlines an automated workflow for trading tokenized US stock contracts through a crypto platform. A scheduled process gathers account positions, news sentiment, and daily stock candles; calculates MACD, RSI, ATR, and OBV; asks a language model…
The article presents a two-part workflow for newly listed crypto perpetual contracts. A slower analysis process detects exchange announcements, tracks candidate tokens, and gathers basic token metrics, news, and derivatives data such as prices, funding…
This article describes a workflow intended to interrupt impulsive crypto trades by requiring a trader to state a reason before acting. It combines the trade idea with position information, news-based sentiment, and technical indicators such as MACD, RSI,…
The document develops the Psychological Line (PSY), an indicator that measures the share of rising bars over a lookback period, into a directional strength measure. The basic count treats every up or down bar equally, so it misses the size of price moves.…
This essay proposes assigning deterministic trading tasks to explicit rules and reserving AI for decisions that require interpretation of unstructured information. Moving-average signals, position limits, and stop-losses are presented as rule-based tasks,…
The document describes a proposed workflow intended to slow impulsive cryptocurrency trades. Before acting, a trader records the asset, direction, size, and rationale. The system combines that input with current position data, news sentiment, and technical…
This essay argues that traders can undermine their results through gambling-like behavior, uncritical trust in prominent commentators, and decisions driven by intuition without a defined plan. It explains how confident predictions can appear successful…
This article outlines a system that turns an analyst’s posts on X into potential trades in US equity perpetual futures. It proposes collecting posts through an RSS feed, asking a language model to identify explicitly named tickers and classify direction and…
The document presents a framework for assessing Bitcoin’s market cycle by combining macroeconomic measures, capital flows, exchange activity, derivatives positioning, and on-chain indicators. Examples include central-bank money supply, Bitcoin ETF and…