Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.
79,386 dokumenttia
This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…
The document describes an hourly breakout approach for gold based on a range formed overnight. It takes the highest high and lowest low over the specified eight-candle period ending at 5 a.m., then permits entries between 5 a.m. and 6 p.m. A move above the…
This strategy selects U.S. equities by asset growth, then uses price momentum to choose long and short positions. It first screens for exchange-listed stocks, removes the smallest market capitalization names according to the source description, and ranks the…
This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…
This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…
The document describes a trailing stop built from the Average True Range (ATR). It places a candidate stop a multiple of ATR below the closing price during an uptrend and above it during a downtrend. The example uses a 14-period ATR multiplied by 3.5, while…
This indicator uses a modified weighted moving average and a smoothed version of that average to locate candidate turning points. When the two lines cross, it records a recent local low or high, using a shorter lookback based on a fraction of the…
The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…
The document describes a variation on the Commodity Channel Index (CCI) intended to reduce its rapid, jagged movements. Instead of smoothing the finished CCI series, it filters the input prices first and then calculates CCI from those filtered prices. The…
The request specifies a stock factor backtest using a named factor table and factor. Factor values should be converted to ranks, with smaller values preferred. The intended universe is the CSI 1000, excluding Beijing Stock Exchange listings and ST-designated…
The strategy seeks long trades during a rebound after a bearish move. It uses a Donchian channel to divide the recent price range into four sections, then places a buy stop near the first level above the channel low when price remains below that level. A…
This document explains a chart indicator that displays the direction of a trend or a potential deal signal generated by a separate trend-arrow indicator. It distinguishes continuation from a change in trend: continuation appears as a horizontal…
This controller monitors liquidation activity for a selected Binance perpetual futures pair and initiates a dollar-cost averaging trade when liquidations on the chosen side exceed a configured quote-currency threshold within a time window. It treats forced…
This article outlines a workflow for creating custom equity-selection rules from platform factors. It illustrates price-location features based on recent highs and lows, then combines return, volume, and market-relative conditions into a screening rule. The…
This Expert Advisor seeks possible trend changes by tracking the difference between two moving averages. It applies a cubic nonlinear transformation to that difference, amplifying larger departures from zero relative to smaller ones, then uses upper and…
This Expert Advisor trades signals from the F2a_AO semaphore indicator after filtering them by the direction of a closed candle on a higher timeframe. The timeframe and candle index are configurable, with daily timeframe and the most recently closed bar as…
This Chinese-language post proposes a stock screen combining price movement and liquidity conditions: an amplitude threshold, at least one large daily gain within the past 25 trading days, and turnover between 3% and 12%. It frames the screen as potentially…
The document explains an expert advisor approach for managing stop loss, take profit, and trailing exits locally on a trader’s computer. Because the stop orders are virtual, they are not sent to the broker. The article also says the system ignores broker…
The document describes an enhancement to the EMAVFS indicator that marks trend strength with colored dots on its moving average. The dot color indicates the current trend direction, while the standard deviation of the indicator determines whether a dot…
This study builds separate XGBoost models to predict next-day Ethereum volatility from activity in the USDC, USDT, and DAI lending ecosystems. Features include lagged borrowing, repayment, and flash-loan measures, plus seven-day averages. It uses time-series…
The article argues that robust quantitative trading depends less on choosing a factor or model in isolation than on a repeatable development process. It outlines a sequence: form a market-based hypothesis, analyze whether candidate factors distinguish…
The proposed stock screen selects shares with a daily high-low range of at least one percent and relative volume between 1.5 and 6 times its five-day average. It also filters on company or industry classification, with consumer and healthcare sectors offered…
KWAN_NRP combines values from the stochastic, relative strength index, and momentum indicators into a two-color histogram. Its stated interpretation is directional: rising indicator values and green bars accompany asset growth, while falling values and pink…
This document describes a Chinese equities screening rule using three conditions: daily high-to-low amplitude above one percent of the open, a positive but less than 35% gain over ten days, and three consecutive sessions in which the close is below the open.…