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Kunskapsbibliotek

Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.

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Jesse
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pyfolio
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backtesting.py
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Sök i biblioteket

79,386 dokument

SuperMind

This stock-selection rule combines an amplitude threshold, a weekly moving-average crossover condition, and membership in the beverage and alcohol import-export industry. The article presents the amplitude filter as a way to constrain price movement, the…

AktierTekniska indikatorerMomentumKinesiska marknader
vn.py community

This overview explains vn.py as a modular framework for automated trading. The MainEngine coordinates gateways, applications, databases, and data services, while the EventEngine routes market, order, and other messages to subscribed components. A typical…

OrderutförandeMarknadsmikrostrukturBacktestningRiskhantering
SuperMind

This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and MACD above zero. The document frames theme membership as a way to focus on a popular sector, institutional activity as a directional…

AktierMomentumTekniska indikatorerKinesiska marknader
MQL5 code base

Internal Strength is an oscillator intended to show where the close sits within the day’s high-low range. In its HLC mode, it calculates the close’s position as a fraction of the range, using the high, low, and close. In its RSI mode, it applies RSI to that…

Tekniska indikatorerAktier
MQL5 code base

This indicator guide explains how to build a synthetic spread from two price series and use its deviations to identify possible pair-trading entries. Users choose the instruments, combine their series with an arithmetic operation, and can reverse,…

ParhandelValutahandelTekniska indikatorerMedelvärdesåtergång
SuperMind

This Chinese A-share screening example combines three conditions: a 14-period RSI below 65, market capitalization of at least 200 million, and a 10-day price gain above zero but below 35%. It describes the screen in plain language and provides sample formula…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

The article proposes screening Chinese stocks using three conditions: daily amplitude above 1%, at least two limit-up events within a 500-day lookback, and prior-day auction turnover above 0.26. It supplies indicator expressions and a Python-style example…

Kinesiska marknaderAktierTekniska indikatorerMomentum
BigQuant

The article examines China’s A-share T+1 rule, which generally prevents investors from selling shares on the same day they buy them. It presents four arguments in the debate: the rule may curb impulsive retail trading, constrain some forms of repeated…

Kinesiska marknaderAktierMarknadsmikrostrukturOrderutförande
SuperMind

This Chinese stock screen combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and exclusion of companies classified as science and technology innovation listings. The MACD condition is intended to find…

AktierKinesiska marknaderTekniska indikatorerMomentum
MQL5 code base

The document introduces a volatility ratio as a way to distinguish quieter market conditions from more volatile ones. It contrasts this approach with standard deviation, arguing that a ratio with a reference level can make relative volatility states easier…

VolatilitetTekniska indikatorerStatistik
MQL5 code base

This document outlines a simple automated trading rule based on comparing the opens and closes of the two most recent completed candles. When no position is open, it enters a buy if the newer candle opens above the older candle but closes below the older…

Tekniska indikatorerOrderutförandePositionsstorlekBacktestning
SuperMind

The document describes a Chinese stock selection rule combining price amplitude above 1, tradable shares no greater than 5.5 billion, and exclusion of stocks that hit the daily upper price limit on the previous day. Its rationale is to seek stocks with…

AktierKinesiska marknaderVolatilitetTekniska indikatorer
MQL5 code base

This brief indicator note describes a higher-timeframe variant of Float_Pivot_Digit. It highlights an input parameter that lets the user select the chart period used by the indicator, with a four-hour period shown as the default. The practical concept is to…

Tekniska indikatorerTerminer
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

KryptoOn-chain-dataStatistikRåvaror
SuperMind

This community post describes a China A-share stock screen that combines recent price behavior with valuation and listing filters. The stated criteria include Shenzhen main-board stocks with positive price-to-earnings and price-to-book ratios below specified…

AktierKinesiska marknaderMomentumTekniska indikatorer
BigQuant

This report studies the accuracy of analysts’ consensus earnings-per-share forecasts for China A-shares and develops forecast-bias signals for stock selection. Its full-sample statistics indicate substantial errors and an overall optimistic bias. An…

AktierFaktorinvesteringHändelsedriven handelStatistik
MQL5 code base

The document describes a price-derived oscillator that displays the difference between price and a Delta measure as a histogram. It specifies no user-adjustable input parameters. The calculation begins with the average of the open, high, low, and close…

Tekniska indikatorerStatistik
BigQuant

This study evaluates 19 factors derived from sell-side analyst consensus data, including forecasts of financial measures, analyst ratings, and attention. It tests the factors in several Chinese equity universes and across industries. For financial forecast…

AktierFaktorinvesteringStatistikKinesiska marknader
BigQuant

The document presents a framework for deciding whether a candidate multifactor strategy adds value beyond a small set of investable reference factors, called elementary smart betas. It models each candidate through its exposures to those factors and its…

FaktorinvesteringPortföljkonstruktionRiskhanteringFlera tillgångsslag
FMZ forum

This article groups recurring trading losses into three market conditions: trading against a strong trend, repeatedly chasing moves in a broad range, and trading through choppy swings. It recommends first identifying the prevailing structure across larger…

TrendföljningMedelvärdesåtergångRiskhanteringPositionsstorlek
SuperMind

This stock screen combines three technical conditions: daily high-low amplitude above a threshold, MACD above the zero line, and a rising, ordered set of short- to longer-term moving averages. The intended interpretation is that price movement indicates…

AktierKinesiska marknaderTekniska indikatorerMomentum
SuperMind

This stock selection rule combines membership in the metaverse theme with a morning price-change cutoff and a historical dividend ratio. The stated rationale is that limiting the early-session rise may help identify rebound candidates, while a dividend ratio…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
MQL5 code base

This indicator uses an RSI-adaptive exponential moving average ribbon to help assess market conditions. Its author says the underlying adaptive EMA can also be translated into a MACD calculation, while displaying the ribbon components directly may make…

Tekniska indikatorerTrendföljningAktier
SuperMind

This proposed A-share stock screen combines turnover between 3% and 12%, a newly formed KDJ bullish crossover, and return on equity above 15% in each of the past five years. The article presents turnover as a measure of trading activity, KDJ as a technical…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering