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.
79,386 documents
This indicator marks the previous trading day's high, low, and close on a price chart. The high and low are presented as possible resistance and support, while the close can serve as a pivot or reference point. The levels are sourced from daily data…
This brief indicator description explains a channel-based way to display price direction and candle alignment. Candles are assigned colors after price moves outside a gray envelope: aquamarine signals an upward trend direction, while yellow signals a…
This post presents a Chinese equity screen using three conditions: the 20-day moving average is above the 120-day moving average, the share price is below 12, and the day's institutional buying share exceeds 5%. It interprets the moving-average relationship…
This Chinese stock-screening post describes a rule combining a 14-period RSI below 65, membership in the beverage and alcohol import-export industry category, and a positive daily MACD reading. The author presents the filter as a way to find stocks that may…
This Chinese stock-screening post proposes combining amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a volume ratio between 1.5 and 6. The rationale is to find volatile shares with active trading while a bearish MACD…
This Chinese stock-screening post describes a proposed selection rule combining price amplitude above 1, exclusion of stocks marked ST, a five-part limit-up method, and first-level bid volume greater than ask volume. It says selection is intended before 10…
This post presents an A-share stock selection rule that combines a daily high-low range threshold, a newly formed KDJ crossover, and a close between the Bollinger middle and upper bands. It supplies example implementations in a charting formula language and…
The post asks how to persist and reload a model produced by the newer BigQuant DAI stock-ranking workflow. It describes reading a model data source, saving it with pandas pickle, then loading it in a custom Python module and writing it back as a data source.…
This brief post presents a modified Damiani Volatmeter indicator for MetaTrader 5. Its author says a subtle implementation error caused the indicator to produce different values in visual backtesting, non-visual backtesting, and live charts. The stated…
This post describes a long-only RSI(2) mean-reversion strategy for equity indices. It buys when the two-period RSI falls below 15, subject to a positive slope in the 22-day moving average and a 22-period RSI above 50. It exits when RSI(2) rises above 60 and…
This Chinese-language post outlines an equity screening strategy combining a positive MACD condition, descending money-flow strength, a market-cap ceiling of 10 billion yuan, positive earnings measures, and ROE above 10. Its accompanying Python example…
The document describes a higher-timeframe variant of the Boa ZigZag Arrows indicator. It says the chart period can be selected through an indicator input, with a four-hour period shown as the default in the supplied excerpt. This lets a user view the…
The document describes an adaptive channel indicator that combines two adaptive components: an ATR-based channel width and a central value calculated as an adaptive exponential moving average. Both adjustments use Kaufman’s efficiency ratio, which allows the…
This document presents a preliminary stock-selection screen combining daily price amplitude above a threshold, a positive weekly MACD histogram, and a K indicator reading below a threshold. It frames the combination as a way to find stocks with possible…
The document describes a timing question in a daily trading strategy. Signals are created in an after-market routine, while orders are submitted in a data handler and intended to fill at the opening price. The author expects a signal generated after one…
This stock-selection rule screens for amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and a stochastic K value below 20. The article frames the range and net-flow measures as signals related to market sentiment and…
The document explains an account-state object used to represent a snapshot of balances and margin information. Such snapshots can arrive from venue updates through an execution client or be calculated by a portfolio after a position change when calculation…
This short community exchange addresses why orders may fail in a SimNow simulated trading account even when login and account queries work and the user has checked the configuration. The reply identifies a specific environment limitation: SimNow does not…
This Expert Advisor uses four Accelerator Oscillator readings, sampled at the selected bar shift and three successive seven-bar intervals, as inputs to a weighted perceptron. It multiplies each reading by a weight derived from an optimized parameter, sums…
This automated trading system uses pin-bar reversal signals with a filter built from two moving averages and fractal-based trend lines. Its stated rules pair upward-turning trend lines with a pin-bar sell signal and downward-turning lines with a pin-bar buy…
The document explains how to use a market-depth trading interface for live, manual intraday trading in a single futures contract. After connecting a trading gateway and opening a contract chart, the ladder displays price levels, bid and ask quantities, best…
This stock-selection idea combines three signals: ranking shares by volume ratio, requiring large-order net volume to remain above 0.05 for at least three consecutive days, and looking for a shortening negative MACD histogram on a 15-minute chart. The…
The document describes a short-term A-share stock screen combining turnover, market capitalization, profitability, and the price move observed at the market open. It selects shares with turnover between 3% and 12%, market value below 10 billion yuan, no…
This short indicator note describes an oscillator built from the difference between closing price and Parabolic SAR. It defines the SAR calculation using configurable step and maximum parameters, then smooths the close-minus-SAR series with a simple moving…