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 surveys conditions it associates with a cryptocurrency bear market low: falling prices and participation, technical weakness in Bitcoin and other major tokens, and uncertainty about whether prices have stabilized. It cites Bitcoin’s decline from…
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 document reports a sharp weekly rise in NFT sales, led by Meebits, and compares activity across Ethereum, Solana, and Flow. It highlights two high-priced Meebits transactions, marketplace sales for LooksRare, OpenSea, and Magic Eden, and selected…
The article presents factors it associates with growing institutional and retail interest in Ether and Solana. For Ethereum, it points to exchange traded funds, corporate treasury purchases, staking, and tokenization of real-world assets. For Solana, it…
The article describes an NFT market recovery, highlighting Ethereum’s leading role, blue-chip collections, utility-oriented assets, institutional participation, cultural relevance, marketplace competition, and infrastructure improvements. It points to rising…
The article surveys factors that may affect Bitcoin’s price, including an energy-based valuation model, miner activity, whale transactions, macroeconomic conditions, ETF adoption, technical patterns, and on-chain measures. It describes energy value as an…
The document explains how funding payments in Bitcoin perpetual futures help keep contract prices aligned with spot. Positive funding means longs pay shorts, while negative funding means shorts pay longs. It presents the rate as a rough indicator of market…
The document describes cryptocurrency adoption in Argentina as a response to inflation, peso depreciation, and limited confidence in traditional banks. It highlights stablecoins as a way for users to seek dollar-linked value and cites a study claim that…
The document outlines factors that may affect Worldcoin’s WLD price, including support and resistance, market sentiment, institutional interest, and broader crypto market conditions. It names Fibonacci retracements, MACD, and the Relative Vigor Index as…
This article considers whether WHY, a meme coin built around an eccentric elephant narrative, appears legitimate. It identifies several areas a researcher might examine: the token’s on-chain contract and transaction history, token supply and distribution,…
This overview explains how broad economic conditions and global events may affect cryptocurrency prices and adoption. It covers inflation, interest rates, economic growth, employment, regulation, geopolitical instability, institutional activity,…
The article surveys proposed drivers of Shiba Inu’s price, including Shibarium and Layer 3 development, token burns, institutional partnerships, community initiatives, and speculative trading. It also points to technical patterns such as inverse…
The article interprets Litecoin’s reported price rise through several lenses: large-holder selling, long-term holder behavior, chart patterns, technical indicators, institutional activity, and speculation about a spot ETF. It identifies an inverse…
The article explains CryptoPunks’ market position through their early history, limited collection size, rare traits, and cultural status. It describes how high-value sales and the collection’s reputation may influence perceived value, while also reviewing…
The article frames ADA analysis around a narrowing triangle, support and resistance zones, Fibonacci projections, RSI, and a possible bull flag. It also points to institutional flows, DeFi total value locked, network activity, whale accumulation, futures…
This document describes a semi-automated workflow for reviewing a trader's proposed crypto trade. A recurring prompt collects the asset, direction, size, and rationale; if no idea is submitted within the stated wait period, that cycle is skipped. For a…
This strategy uses the Smart Money Index (SMI), calculated from a smoothed combination of intraday price changes, to guide directional trades. The document describes rising SMI as a bullish indication and falling SMI as bearish, with entries following the…
This strategy excerpt builds indicator scores from candlestick shapes over a configurable lookback. Its indecision score counts doji and spinning top candles, while a fear score counts shooting stars, hanging men, and bearish engulfing patterns. Each pattern…
This document outlines a downside-warning method that combines a 50-period momentum measure with a VIX Fix volatility and sentiment proxy calculated over 22 periods. Its narrative describes a bearish crossover followed by momentum entering a band between -5…
This proposed system combines a short and long simple moving average crossover with MACD confirmation, RSI thresholds, approximate chart-pattern signals, and a resistance level based on recent closing prices. Its stated long entry requires the short average…
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 strategy estimates buying and selling pressure by splitting each candle’s volume into bullish and bearish portions. It assigns all volume to buyers when the close exceeds the open; for a down candle, it estimates the bullish share from the open’s…
The indicator estimates market sentiment by smoothing price changes and trading volume separately, then dividing the smoothed change by smoothed volume. An alternate calculation smooths each bar’s price change per unit of volume directly; the document notes…
This workflow example periodically gathers account positions, recent minute bars, and an exchange long-short ratio, then combines the data for model-assisted market analysis. The analysis prompt asks the model to assess price action, volume, technical…