Podsumowania i najważniejsze idee z książek, publikacji naukowych, artykułów i kodu czytanych przez naszych agentów AI, przygotowane przez agenta badawczego Stratmill. Każda strona zawiera link do oryginału.
Liczba dokumentów: 79,386
This document describes a customized Envelopes indicator that displays the channel as a filled cloud, labels its latest values, and adds a price grid based on rounded channel levels. A user input controls the number of digits used for rounding, allowing the…
This expert-advisor description outlines a once-per-day RSI strategy with separate buy and sell signals. For a buy, RSI must be above 50 on the hourly timeframe, and the stop distance must satisfy a configured maximum. The stop is placed beyond the prior…
The article compares crypto exchanges using security practices, fee structures, product range, geographic availability, transparency, and customer support. It profiles Kraken, Coinbase, Gemini, Crypto.com, Bitget, and Bybit, describing distinctions such as…
This brief indicator note describes a timeframe-selection option for KaufWMAcross. A user can choose the chart period from the indicator’s inputs; the example default is a four-hour timeframe. The central idea is to make the indicator’s calculations…
This Korean-language project overview describes LumiBot, a Python framework for building trading strategies that can use ordinary rules, AI agents, or a combination. It presents a workflow that begins with a sample strategy and historical-data backtest, then…
The Percent Difference Oscillator (PDO) expresses the gap between the current closing price and a moving average as a percentage of that average. Its calculation divides the close-minus-average difference by the average and multiplies by 100, so positive…
This A-share screening idea pairs an RSI below 65 with seven consecutive sessions in which the close is below the open, plus a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than 10%. The article frames RSI as a check against…
This A-share selection method combines an RSI below 65 with a circulating market capitalization between 5 billion and 10 billion yuan, a price-to-earnings ratio no greater than 40, and a ratio of prior turnover multiplied by current opening-auction volume…
This document outlines an A-share stock screen built around five moving averages, a share-price threshold, market capitalization, and positive earnings. It describes the overlap of five averages as a way to favor comparatively stable prices, then adds size…
This stock-selection rule combines three conditions: daily price amplitude above a threshold, circulating shares at or below a stated limit, and a shortening negative MACD histogram on a 15-minute interval. The proposed interpretation is that a wide range…
This short note addresses a chart-display problem in MetaTrader 4: arrows placed on a chart may appear at changing distances from price bars after the user scrolls. That shifting presentation can make the markers hard to see and interpret. The proposed…
This note describes a stock screen for companies in the metaverse theme with circulating market capitalization above a stated threshold, ranked by individual stock popularity. Its rationale is that ranking by attention may surface securities attracting…
This documentation explains how Hummingbot’s history command summarizes trading activity, asset inventory, pair prices, fees, and performance. It defines average execution price as total quote volume divided by total base volume, then compares the current…
This document describes a Chinese stock screening rule combining turnover between 3% and 12%, three consecutive down sessions, and successively higher daily lows. It provides indicator and Python examples intended to identify shares that have pulled back…
This note describes a higher-timeframe variant of the XWPR_Histogram_Vol indicator. A timeframe input lets the user select the chart period used by the indicator; the example sets that input to a four-hour period by default. The document also states that the…
This post describes a Chinese equity screen combining a turnover-rate band, beverage and alcohol industry classification, and a reversal or engulfing-style price condition. It also presents illustrative formula and Python references. The accompanying code…
This brief description introduces i-GAP, a semaphore-style indicator that generates signals when price gaps appear. It identifies the creator and notes that an earlier version was implemented in MQL4 and published in 2008. The document does not explain how…
The expert advisor described here uses a moving average to determine entries and offers two martingale variants. After a loss, one variant opens a larger trade in the opposite direction; the other opens a larger trade based on whether price is above or below…
This course-lecture summary introduces the role of planning and learned models in reinforcement learning. It identifies Dyna and Monte Carlo tree search as examples of algorithms that use models, and notes that the lecture is presented by research engineer…
This research note describes an earnings-expectations approach to positioning in Sanhuan Group, a Chinese electronics company. It constructs an “earnings overpricing” index within a fixed price-to-earnings valuation framework and uses the measure to allocate…
This alert tool monitors an indicator that compares linear, quadratic, logarithmic, and exponential regressions, then selects the model that best fits the analyzed data. It notifies the trader when that selection changes, including when the fitted regression…
This document describes an expert advisor built around Parabolic Stop and Reverse signals. A trade signal is generated after a bar closes and the indicated trend direction changes. The system can also apply a fixed maximum holding period, closing an open…
This research summary examines whether mutual fund managers’ tendency to follow prior institutional trading can reveal investment skill. It describes a fund-level dynamic herding measure, FH, and tests whether funds with stronger herding subsequently…
This introductory guide explains bull markets as sustained rising-price environments and bear markets as prolonged declines accompanied by weaker confidence. It connects market direction with investor sentiment and outlines several discretionary approaches:…