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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.

Quant Q&A
20,364 dokument
SuperMind
12,226 dokument
OKX Learn
8,431 dokument
Strategy library
7,910 dokument
MQL5 code base
7,090 dokument
BigQuant
3,481 dokument
Bitget Academy
3,298 dokument
MQL5 articles
3,012 dokument
TradingView scripts
1,976 dokument
ProRealCode
1,507 dokument
Deribit Insights
1,232 dokument
Machine Learning for Trading
1,124 dokument
arXiv papers
1,033 dokument
Amberdata research
766 dokument
FMZ forum
682 dokument
FMZ digest
662 dokument
vn.py community
560 dokument
QuantInsti blog
511 dokument
Galaxy Research
340 dokument
QuantStart
246 dokument
Stratmill research code
219 dokument
Robot Wealth
195 dokument
NautilusTrader
191 dokument
Hummingbot docs
181 dokument
Paradigm research
175 dokument
Lumibot
164 dokument
Kraken Learn
163 dokument
Kursbibliotek för kvantitativ handel
157 dokument
OctoBot
152 dokument
Cryptohopper blog
144 dokument
Systematic trading blog (Rob Carver)
132 dokument
Qlib
116 dokument
TqSdk
86 dokument
Quantpedia
86 dokument
Hyperliquid docs
79 dokument
Freqtrade
68 dokument
Hudson & Thames
62 dokument
Awesome Systematic Trading
61 dokument
backtrader
54 dokument
vn.py
50 dokument
Binance API docs
45 dokument
Quantopian-föreläsningar
45 dokument
FMZ guides
38 dokument
pysystemtrade
34 dokument
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32 dokument
quant-trading
31 dokument
FinRL
28 dokument
Zipline
22 dokument
FMZ live strategies
21 dokument
Jesse
17 dokument
pyfolio
16 dokument
Alphalens
14 dokument
WonderTrader
14 dokument
backtesting.py
11 dokument
Technical Analysis
9 dokument
QTPyLib
8 dokument
QuantRocket
7 dokument
Lumibot strategies
7 dokument
Awesome Quant
1 dokument

Sök i biblioteket

79,386 dokument

BigQuant

This study considers whether a company’s decision to capitalize research and development spending conveys information about future project profitability. Because accounting rules allow judgment in deciding whether development costs should be capitalized, the…

AktierKinesiska marknaderHändelsedriven handelFaktorinvestering
BigQuant

This study turns unusual intraday stock behavior into a measurable event signal. It describes days when a stock repeatedly moves against the direction of the broader index, then uses correlation to screen for these cases. The resulting event samples are…

AktierKinesiska marknaderHändelsedriven handelStatistik
BigQuant

This study examines whether managers of equity-focused and mixed equity funds can anticipate shifts between market styles defined by company size, and whether any apparent skill persists. It identifies funds that ranked near the top around past style…

AktierKinesiska marknaderStatistikFaktorinvestering
SuperMind

The post outlines a rules-based stock screen using three filters: price amplitude above 1, circulating market capitalization above 10 billion yuan, and a volume-ratio range above 1.5 but below 6. It presents the combination as a way to select stocks with…

AktierTekniska indikatorerKinesiska marknaderStatistik
Amberdata research

The newsletter assesses a sharp rise in Bitcoin volatility alongside macroeconomic catalysts and crypto market positioning. It uses options implied volatility and term-structure richness as indicators of stress, noting that a high backwardation reading has…

KryptoOptionerVolatilitetTerminer
vn.py community

This release overview describes VeighNa 4.0 and its new vnpy.alpha module for developing machine-learning, multi-factor strategies. The module is organized around feature datasets, model training, strategy research, workflow management, and example…

MaskininlärningFaktorinvesteringAktierBacktestning
BigQuant

The document presents a SQL approach to estimating annualized variance for Chinese stocks. It first calculates daily close-to-close returns for each instrument, then applies a rolling 20-observation standard deviation, squares that value, and multiplies by…

AktierStatistikVolatilitet
BigQuant

The article describes a framework that links macroeconomic and style factors with traditional asset-class allocation. It proceeds from selecting factors and estimating asset exposures to building factor-mimicking portfolios, forecasting their returns,…

Flera tillgångsslagFaktorinvesteringPortföljkonstruktionBacktestning
SuperMind

This stock screen selects shares with a daily range above a stated threshold, at least two limit-up moves during the preceding 500 days, and a current low below the previous day’s low. The article interprets the range and historical limit-up conditions as…

AktierKinesiska marknaderTekniska indikatorerMomentum
MQL5 code base

The PDFma indicator is described as a weighted average or digital filter whose coefficients are derived from a probability density function. It offers floating levels, quantile levels, or no levels, with the last option enabling a slope-based mode. Color…

Tekniska indikatorerStatistik
MQL5 code base

This Expert Advisor runs separate long and short systems using signals from the ColorMaRsi-Trigger indicator. Each side has its own magic number, position sizing settings, and switches for enabling entries and exits, allowing its parameters to be configured…

ValutahandelTekniska indikatorerPositionsstorlekBacktestning
MQL5 code base

The document describes a multi-timeframe version of the ChannelsFIBO_v2 indicator. Its distinguishing setting is a source-data timeframe parameter: the indicator can display the situation associated with a chosen chart period even when the user’s active…

Tekniska indikatorerFlera tillgångsslag
SuperMind

The document presents a Chinese-market equity screen for stocks classified in the metaverse industry. It requires a bullish MACD crossover, a 5-day moving average crossing above both the 10-day and 20-day averages, and at least one daily gain of 10% or more…

AktierTekniska indikatorerMomentumKinesiska marknader
MQL5 code base

The document outlines an extended Wilder double-smoothed exponential moving average that adapts its responsiveness using a volatility ratio. According to the description, the adaptation is intended to make the indicator react more quickly to market changes…

Tekniska indikatorerVolatilitetTrendföljning
SuperMind

The document describes a Chinese-market stock screen combining three conditions: rank stocks by volume ratio and retain the top 100, require the opening price to be near the 10-day moving average, and require the close to be above the 30-day average. It…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This note describes a Chinese stock screen requiring an RSI below 65, greater displayed buy-side than sell-side volume at the best quote, and an issuance year of 2021. It presents RSI as a price-momentum measure and the order-book comparison as a gauge of…

AktierTekniska indikatorerMarknadsmikrostrukturKinesiska marknader
SuperMind

This note proposes a Chinese stock screen using three conditions: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and free-float shares no greater than 5.5 billion. It frames amplitude as a measure of…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This note describes a Chinese A-share screen that selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and requires MACD to have been below zero two days earlier. It presents the filters as a way to combine trading activity with a…

AktierTekniska indikatorerKinesiska marknader
MQL5 code base

This MetaTrader 5 Expert Advisor trades reversals in the direction of the FatlMacd indicator. It forms a signal at bar close when the indicator changes direction. Running the advisor requires the compiled FatlMacd indicator file in the platform's Indicators…

ValutahandelTekniska indikatorerBacktestning
vn.py community

A forum user asks how to check whether enough funds are available before starting a spread-arbitrage order algorithm. The stated motivation is to avoid opening only one leg of a paired trade when the account cannot support both sides. A reply points to…

ArbitrageParhandelRiskhantering
MQL5 code base

The document describes an indicator that plots relative strength or correlation across eight currencies and gold. Users choose one of several technical measures as the basis for the calculation: moving average, MACD, stochastic oscillator, RSI, CCI, Relative…

ValutahandelRåvarorTekniska indikatorer
MQL5 code base

This document explains an MT5 indicator for placing an alert at a chosen price directly on a chart. A trader selects an alert type and time zone, then clicks the chart to set the price threshold. The alert can appear in a window, arrive as a mobile push…

Tekniska indikatorerOrderutförande
MQL5 code base

This Expert Advisor variant adds a configurable weekly trading window to an EA based on a Spearman rank correlation histogram. Inputs set whether interval-based trading is enabled and define the start and end by weekday, hour, minute, and second. The example…

Tekniska indikatorerStatistikBacktestningRiskhantering
MQL5 code base

LaguerreVolume applies a Laguerre filter to smooth volume data. The document identifies the indicator’s creators as Emerald King and t_david and notes that it was first implemented in MQL4 and published in 2007. The description offers no equations, parameter…

Tekniska indikatorerStatistik