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.
43 documents
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 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…
This document outlines an automated crypto dollar-cost-averaging workflow that runs hourly. It gathers daily market candles to calculate MACD, RSI, ATR, and OBV, and retrieves recent crypto news for an AI model to assess short- and long-term sentiment. The…
This proposed framework combines price, volume, RSI, accumulation/distribution, and a Smart Money Index to infer crowd extremes, institutional activity, and potential liquidity traps. It also defines an equilibrium band using a moving average and standard…
This workflow proposes finding candidate tokens by starting with a successful seed project, screening its holders, and examining the other ERC-20 assets held by qualifying wallets. The described filters exclude large project holders and labeled institutions,…
This document describes an event-driven system that tracks posts from a selected X account and uses a large language model to extract named stocks, direction, confidence, and rationale. It filters out ambiguous or low-confidence posts, then checks whether…
This strategy compares a volatility index with its 10-day simple moving average and seeks trades after large deviations. A long signal requires the index’s low to remain above the average and its close to be at least 10% higher; a short signal applies the…
This strategy uses a smoothed call-put ratio as a sentiment signal. It calculates a 20-day moving average of the ratio, then compares it with a longer rolling average and standard deviation over 30 days. The description says to trade when the ratio crosses…
This strategy uses the ratio of reported Bitcoin long positions to the combined total of long and short positions as a sentiment measure. It standardizes that ratio with a rolling mean and standard deviation, then uses configurable Z-score thresholds to…
This XBT futures strategy builds a sentiment score from price location and range across ten lookback windows spanning 1 to 89 bars. For each window, it compares the close with a range centered on an average price, scales that position by the window's price…
This workflow example combines account positions, news sentiment, and technical indicators to produce automated trade decisions for tokenized US stock markets. It collects position data, analyzes news for short- and long-term sentiment, and calculates MACD,…
This multi-symbol expert advisor uses Commitments of Traders data to generate directional currency signals, with an optional Supertrend filter. It fetches two selected COT report classes and modes, queries positioning and changes in positions, and derives…
This document outlines a simple visual workflow that retrieves a Fear and Greed classification, routes the result through conditional branches, and sends trade instructions to an execution node. A scheduled trigger starts the process; the workflow fetches…
This workflow proposes using holders of a successful token as a starting group for discovering other assets they own. It filters holders by token ownership share and portfolio value, removes addresses labeled as exchanges, project treasuries, or protocol…
This workflow describes a bidirectional grid for cryptocurrency perpetual futures. From an initial reference price, it places long levels below and short levels above; positions are opened as price reaches grid steps and are intended to close when price…