Hopp til innhold

Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

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

Søk i biblioteket

79,386 dokumenter

BigQuant

This support exchange concerns warnings from BigQuant’s feature extractor that it cannot find the open, high, low, close, and volume fields in its field mapping. The logs show the warnings recurring across multiple years while basic feature extraction still…

AksjerTekniske indikatorer
MQL5 code base

This document describes an oscillator that expresses the percentage ratio between prices and candlestick sizes over a selected range. It identifies two settings: the calculation period, which determines the range length, and whether the range begins on the…

Tekniske indikatorerStatistikk
MQL5 code base

This document outlines an Expert Advisor that trades when the Ozymandias indicator’s middle line changes color. It is a simple signal-based approach, with the color transition serving as the trade decision trigger. The system requires the compiled indicator…

ValutahandelTekniske indikatorerTrendfølgende handelHistorisk testing
SuperMind

This Chinese-language post describes an equity screen combining price movement, large-order net volume, and valuation. It selects stocks with amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and positive P/E. The post…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
Kraken Learn

This platform comparison organizes crypto futures venues around practical selection criteria: contract and market availability, fees, leverage, regional access, and security or regulatory status. Its table contrasts several exchanges, while the surrounding…

KryptoFuturesEvigvarende futuresOrdreutførelse
MQL5 code base

This automated trading system implements the principal components of the Original Turtle rules. It sizes positions according to market volatility, enters on breakouts of fast or slow Donchian channels, and skips a later signal after a successful breakout. It…

Trendfølgende handelKursbruddVolatilitetPosisjonsstørrelse
MQL5 code base

This indicator is described as a Donchian channel modified with a slope, with the Moving Average of Momentum mentioned as part of its use. Its key control is the xslope parameter: when set to zero, the indicator behaves like a regular Donchian channel. The…

Tekniske indikatorerMomentumKursbrudd
SuperMind

The document presents an equity screen using three conditions: daily price amplitude above 1%, RSI below 65, and the prior day’s price above its 250-day moving average. It frames the moving-average condition as a way to favor stocks with stronger long-term…

AksjerTekniske indikatorerMomentumRisikostyring
BigQuant

The document describes a method for testing factor effectiveness dynamically and selecting stocks within industries. It examines whether differences in style-factor exposure relate to differences in stock returns, then uses the results to form industry-based…

AksjerFaktorinvesteringStatistikkHistorisk testing
SuperMind

The document describes a Chinese equity screen restricted to the metaverse industry. It selects stocks whose opening price is near the ten-day moving average and whose weekly five-period moving average crosses above the ten-period average. The article…

AksjerKinesiske markederTekniske indikatorerMomentum
BigQuant

This guide describes how a BigAlpha competition participant can build equity factors using BigQuant’s DAI data engine. The specified universe is the historical membership of the CSI 1000, and the listed inputs include one-minute bars and order-book…

AksjerKinesiske markederFaktorinvesteringStatistikk
SuperMind

The document presents a Chinese equity screen combining three conditions: MACD above its zero line, a price-change and very-large-order-flow condition, and a dividend ratio above 25% for 2019. It describes MACD as a trend filter and trading-flow data as a…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This proposed equity screen combines several filters: a reported increase in position holdings above 5%, a price change below 2.6% and above -5%, market capitalization no greater than 10 billion yuan, and a history without losses. The post interprets the…

AksjerKinesiske markederFaktorinvestering
MQL5 code base

This document describes configurable indicators for marking local highs and lows, also called swing points or fractals. A candidate high or low is identified by comparing a candle with neighboring candles. Users can set the neighborhood radius, which lets…

Tekniske indikatorerValutahandel
BigQuant

This overview explains the main stages of a machine-learning workflow for quantitative investing, using a fruit-selection analogy to introduce training data, labels, features, prediction, and validation. It recommends defining the market and stock universe,…

AksjerMaskinlæringFaktorinvesteringHistorisk testing
MQL5 code base

ASQ SuperTrend is described as an ATR-based trend-following indicator for MetaTrader 5. It draws a changing line around price, uses color to indicate bullish or bearish direction, and marks trend reversals with arrows. The line can be used to track a trend…

Trendfølgende handelTekniske indikatorerVolatilitetRisikostyring
SuperMind

This Chinese equity screening proposal selects stocks with amplitude above 1, a specified ratio between yesterday’s turnover rate and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a circulating share count no greater than 5.5…

AksjerVolatilitetKinesiske markederTekniske indikatorer
Qlib

This Qlib demonstration explains how to reuse a processed data handler across repeated model training runs. It first trains the same configured task more than once without explicitly reusing the handler, then constructs the configured data handler in memory…

Historisk testing
SuperMind

This Chinese stock screen combines three conditions: amplitude above 1, a shrinking negative MACD histogram on a 15-minute chart, and prior-day trading value above 60 million. The document interprets amplitude as a way to find more volatile stocks, the MACD…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
SuperMind

The document describes a simple A-share stock screen using a minimum daily high-low range, a specified closing price, and a bounded daily return. It frames the filters as a way to select for price movement while restricting the current price and recent…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
BigQuant

This research summary examines stock selection factors derived from operating financial statement items, especially changes in operating current liabilities. It reports that these factors showed selection ability, with the strongest cited result for a…

AksjerFaktorinvesteringKinesiske markederHistorisk testing
Amberdata research

The article explains why investment managers entering digital assets need consolidated data on markets, liquidity, risk, and blockchain activity. Crypto trading is spread across global venues that operate continuously, with each venue using its own changing…

KryptoMarkedsmikrostrukturOn-chain-dataOrdreutførelse
BigQuant

This research overview examines risk parity within the broader development of portfolio allocation methods. It describes several risk measures and risk-allocation principles, emphasizing Euler allocation to define each asset’s contribution to portfolio risk.…

Flere aktivaklasserPorteføljekonstruksjonRisikostyringHistorisk testing
MQL5 code base

This MetaTrader indicator overlays candles from a higher timeframe as filled rectangles, using DRAW_FILLING buffers. Their colors follow the cloud direction of the CronexAC indicator: bullish or bearish cloud states determine the candle body color, while the…

Tekniske indikatorerTrendfølgende handelOrdreutførelse