Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.
Dokumentu skaits: 79,386
This Chinese-language post proposes screening stocks for turnover between the stated bounds, beverage and alcohol import-export exposure, current volume above the stated threshold, and a higher opening price. It presents the combination as a way to consider…
This indicator description presents Zero Lag Stochastic (ZLS) as a composite of five stochastic oscillators. Each component can use its own %K and %D periods, slowing value, calculation method, price field, and weight; a shared smoothing period applies to…
This Chinese-language post outlines an A-share screening idea that combines convergence among five moving averages, a claimed Morning Star breakout, and a filter for companies with no losses and market capitalization below the stated threshold. It describes…
This guide explains how to run trading strategies against historical market data in OctoBot. The workflow is to select a profile, download data for the desired pairs and timeframes, run the backtest, and review the report. It describes how starting funds and…
This Chinese equity screen combines three conditions: MACD above zero, descending ranking by capital-flow strength, and more than two limit-up days within ten days. Its examples add fundamental filters such as positive valuation ratios and return on equity,…
This Chinese stock-screening proposal combines daily price amplitude above one percent, market capitalization below 10 billion yuan, positive net profit, and a shortening MACD histogram on a 15-minute interval. The author treats amplitude as a way to find…
This note outlines a technical stock screen that combines turnover between 3% and 12% with a reversal pattern and rising price lows. The accompanying indicator conditions use a high reversal score, a low stochastic K reading, and a short-period price bias…
This note proposes screening equities for a high dividend payout ratio in 2019, a sufficiently long listing history, and strong capital activity. It describes trading strength using measures such as turnover and relative volume, with the goal of finding…
This note describes a China A-share screening rule for main-board stocks. It combines daily turnover between 3% and 12%, membership in a robotics concept group, floating market value below 10 billion yuan, and a prior-day indicator of main-fund control. The…
This stock-selection screen looks for shares with a minimum intraday range, at least one large daily gain within the recent 25-session window, and positive institutional buying direction. The criteria aim to combine volatility, evidence of a recent sharp…
This stock screen combines a 2019 dividend measure above a stated threshold, a 20-day moving average above the 120-day average, and a ranking by capital intensity. The moving-average comparison is presented as a way to favor stocks whose shorter-term trend…
This stock-screening idea combines a daily price-range threshold, an RSI ceiling, and buying volume greater than selling volume. The range condition is intended to find stocks with movement, while RSI below the stated cutoff avoids the strongest overbought…
The document explains an Ergodic oscillator derived from William Blau’s True Strength Index. It smooths price momentum and absolute momentum through two exponential moving-average stages, forms a normalized momentum measure, then applies additional smoothing…
The document explains a forex scalping system based on price briefly crossing a confirmed swing high or low, then closing back through it. The system marks the sweep candle as a potential order block and waits for a later candle to break back through its…
This post proposes a Chinese A-share screen combining three conditions: buying-position share above 5% today, a rising main-board stock, and more than two limit-up days in the preceding ten days. The rationale is that recent buying activity and repeated…
The author recounts moving from manual trading to automated strategies. An early setup sent TradingView entry signals to FMZ for take-profit and stop-loss handling; the author reports that unreliable signals, unstable profits, platform rental, and trading…
This Chinese stock-selection post describes a screen that filters for shares with turnover between 3% and 12%, listed in 2021, then ranks them by capital strength. It presents the combination as a way to consider both trading activity and recent money flows,…
The document describes an indicator formed by calculating the Relative Strength Quality Index (RSX) and then feeding that calculated series into a second RSX calculation as though it were price data. It attributes the underlying idea to Mark Jurik,…
The document outlines a daily pre-open stock screen for Chinese equities. It selects stocks with MACD above zero and a price below 12 yuan, then ranks candidates by that day’s auction amount and keeps the top five. The rationale is to combine a technical…
The document explains how conditional stop-loss and take-profit orders work for futures positions on Kraken Pro. A stop loss is intended to close a position if the market moves adversely through a chosen level; a take-profit order closes it at a specified…
The document describes a forex strategy that combines the Awesome Oscillator, Accelerator Oscillator, and Parabolic SAR. It enters long after price crosses above the SAR and both oscillators rise, or short after price crosses below the SAR and both fall. A…
This proposed A-share screen combines daily amplitude above 1, exclusion of ST-designated stocks, a five-session limit-up pattern, and large-order net flow above 0.05 for at least three consecutive days. The post describes large-order net flow as a…
This A-share stock-selection rule screens for turnover between 3% and 12%, excludes Beijing-listed shares, and selects stocks described as having fallen on each of the previous seven trading days. The post presents consecutive declines as a way to find…
This proposed A-share screen combines three ranking and selection inputs: descending capital intensity, descending stock popularity, and a dividend payout ratio above 25% for 2019. The document interprets capital intensity and popularity as measures of…