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Ieškoti bibliotekoje

79,386 dokumentų

SuperMind

This Chinese A-share screening idea selects stocks whose intraday high-low range exceeds 1%, whose day low is between 4% and 5% below the prior close, and whose MACD is above zero. The rationale combines elevated volatility and a sharp intraday decline with…

AkcijosTechniniai rodikliaiKintamumasGrįžimas prie vidurkio
SuperMind

This proposed stock screen selects shares with a daily high-low range above 1, three consecutive limit-up sessions as of the previous day, and at least two limit-up events during the prior 500 days. The post interprets the range as a sign of activity and the…

AkcijosKinijos rinkosImpulsasPramušimas
SuperMind

This proposed Chinese stock screen looks for a daily price range above 1, a ratio between 0.5 and 2 formed from the previous day’s turnover rate and the current auction volume relative to the previous day’s volume, and a current large-order accumulation…

AkcijosKinijos rinkosRinkos mikrostruktūraTechniniai rodikliai
SuperMind

This Chinese stock screen combines a positive MACD reading, an external-to-internal trading volume ratio above 1.3, and more than two limit-up days in the prior ten days. It ranks qualifying stocks by percentage gain, favoring recent price strength and…

AkcijosKinijos rinkosImpulsasTechniniai rodikliai
MQL5 code base

This document describes an example of a multicurrency Expert Advisor that processes symbols one at a time in a loop. It uses a timer event to run trading logic independently of ticks arriving for any particular symbol, and Bollinger Band values provide the…

Valiutų rinkaTechniniai rodikliaiPavedimų vykdymas
SuperMind

This example turns a CAPM regression into a monthly stock-selection process. It takes a recent window of daily returns for eligible constituents, adjusts stock and benchmark returns by a stated daily risk-free rate, and regresses each stock’s returns against…

AkcijosStatistikaInvestavimas pagal veiksniusIstorinis testavimas
BigQuant

This brief coding question outlines a way to calculate fund performance statistics from a price series. It first derives periodic returns from price changes, then uses a performance-analysis library to compute cumulative return, annualized return, Sharpe…

StatistikaRizikos valdymasKintamumas
SuperMind

This screening proposal combines three conditions: price amplitude above one, a value for today’s control measure above 21, and a date in or after 2021. The description frames the first two conditions as filters for more volatile stocks and stocks with…

AkcijosKinijos rinkosTechniniai rodikliaiRizikos valdymas
SuperMind

This stock-screening proposal targets companies in the metaverse industry that have had more than two limit-up sessions in the recent ten-day window and have just formed a KDJ golden cross. It calls for screening before 10:00 on each trading day and…

AkcijosKinijos rinkosImpulsasTechniniai rodikliai
BigQuant

The document summarizes CapTE, a model for predicting stock movements from social media text. A Transformer encoder extracts semantic features from posts, while a capsule network is used to represent structural relationships in the text. The approach is…

AkcijosMašininis mokymasisRinkos nuotaikosStatistika
BigQuant

This short platform discussion explains that an adjust factor is used to convert a stock’s real price into an adjusted price. Adjusted prices, including forward- and backward-adjusted series, are intended to keep price charts continuous across corporate…

AkcijosIstorinis testavimas
SuperMind

This Chinese stock-screening post describes a rule based on price range, recent turnover, and limit-up frequency. Its initial description calls for an amplitude above 1, prior-day actual turnover between 3% and 28%, and more than two limit-up sessions in a…

AkcijosTechniniai rodikliaiImpulsasKinijos rinkos
BigQuant

This short forum exchange explains how to configure BigQuant’s trading engine to rebalance on a weekly or monthly schedule. For weekly scheduling, it specifies the weekly trading-day mode and a day value of 5; for monthly scheduling, it specifies the monthly…

Portfelio konstravimasIstorinis testavimasPavedimų vykdymas
SuperMind

This stock-screening rule selects shares with turnover between 3% and 12%, a seven-day falling-price pattern, and no limit-up session on the previous day. The document gives both a platform-style condition and a Python example, and explains the intended…

AkcijosTechniniai rodikliaiImpulsasKinijos rinkos
Qlib

The document introduces Temporal Routing Adaptor (TRA), a model designed to learn multiple trading patterns from stock market data. It describes using TRA with Qlib datasets and workflows, and notes that the paper’s reproduction setup first trains a backbone…

AkcijosMašininis mokymasisIstorinis testavimasStatistika
SuperMind

This Chinese equity screen combines price amplitude above one, appearance on the previous day’s market top list, and a positive price-to-earnings ratio. The article interprets amplitude as a sign of short-term volatility, top-list inclusion as a possible…

AkcijosKintamumasRenginiais pagrįsta prekybaKinijos rinkos
SuperMind

This Chinese equity screen looks for stocks with price amplitude above one, an opening price near the ten-day moving average, and simultaneous bullish crossover signals from three indicators. The examples use MACD, RSI, and KDJ: MACD and KDJ cross above…

AkcijosTechniniai rodikliaiImpulsasKinijos rinkos
SuperMind

This article introduces the autoregressive moving-average model as a combination of AR terms, which use past observations, and MA terms, which represent past shocks. It describes choosing the orders p and q with autocorrelation and partial autocorrelation…

StatistikaKintamumas
SuperMind

This stock screen combines three conditions: net buying today must exceed five percent, the previous day’s turnover must be above 60 million, and the ten-day price gain must be positive but below 35 percent. The document presents these as signs of buying…

AkcijosImpulsasKinijos rinkos
MQL5 code base

The document describes an Expert Advisor that trades when the i-KlPrice histogram crosses an overbought or oversold level. A signal is confirmed at bar close, so the strategy acts on completed-bar threshold breaks rather than intrabar movement. The advisor…

Techniniai rodikliaiValiutų rinkaIstorinis testavimas
MQL5 code base

The document explains that MetaTrader 5 exposes generic, loss-side, and profit-side tick values for each symbol, and that these values may not be identical. This matters when an expert advisor calculates trade size from a risk budget: using a tick value that…

Rizikos valdymasPozicijos dydžio nustatymasValiutų rinka
BigQuant

The document summarizes a study that develops a probabilistic classifier to identify high-frequency trading activity from intraday order data. Using French BEDOFIH market records, the researchers engineered features describing orders, including their prices,…

Didelio dažnio prekybaMašininis mokymasisStatistikaRinkos mikrostruktūra
FMZ forum

The document describes three high-frequency trading approaches through an example in which an institution splits a large stock order into smaller child orders. Liquidity rebate trading detects likely follow-on orders and provides liquidity to earn exchange…

Didelio dažnio prekybaRinkos mikrostruktūraPavedimų vykdymasRinkos formavimas
SuperMind

The document proposes a Chinese equity screening approach that selects robot concept stocks with daily amplitude above 1%, float capitalization below 10 billion, and no ST designation. It specifies screening before 10 a.m. and says a five-step limit-up…

Kinijos rinkosAkcijosTechniniai rodikliaiInvestavimas pagal veiksnius