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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

SuperMind

The document outlines a daily stock screen that requires price range to exceed one percent of the prior close, a positive price-to-earnings ratio, and a rising 30-day moving average. It interprets these conditions as combining recent trading activity,…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This document describes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and a weekly close crossing above its 30-week moving average. It presents the moving-average cross as a way to…

AksjerKinesiske markederKursbruddTekniske indikatorer
SuperMind

The document explains how multi-factor models describe asset returns through factor exposures, factor returns, and asset-specific residuals. It presents Barra as a framework for estimating portfolio risk by combining factor covariance with specific risk, and…

AksjerFaktorinvesteringRisikostyringPorteføljekonstruksjon
SuperMind

This proposed daily Chinese stock screen combines three conditions: an intraday high-low range above 1% of the prior close, at least two limit-up events over the preceding 500 sessions, and positive large-order net inflow during the afternoon. The post…

AksjerVolatilitetMarkedsmikrostrukturKinesiske markeder
SuperMind

This proposed Chinese stock screen focuses on companies classified in the metaverse theme. It requires the current close to be above the five-day moving average and applies a prior-session price-change filter intended to exclude stocks that closed at the…

AksjerMomentumTekniske indikatorerKinesiske markeder
BigQuant

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

AksjerFaktorinvesteringStatistikkKinesiske markeder
SuperMind

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

AksjerFaktorinvesteringStatistikkKinesiske markeder
SuperMind

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the…

AksjerKinesiske markederTekniske indikatorerRisikostyring
BigQuant

The document describes how to build daily return data for level-two industries and use it in stock selection. It proposes joining stock industry classifications with daily returns and float market capitalizations, then grouping by industry and date. Each…

AksjerMaskinlæringMomentumPorteføljekonstruksjon
MQL5 code base

This short description introduces the Fisher Transform, an indicator developed by John Ehlers. It says the indicator tracks current market movement and that its plotted levels may serve as potential turning points. The stated directional reading is simple: a…

Tekniske indikatorerMomentumStatistikk
Hummingbot docs

These release notes describe Hummingbot 1.19.0, focusing on a developing modular strategy framework and early dashboard tools for managing bots and backtests. The framework separates market data candles, controllers that choose actions, and executors that…

KryptoRutenettshandelArbitrasjeMarket making
SuperMind

The post outlines a Chinese equity screening idea that combines at least five overlapping moving averages, company or industry characteristics, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets moving average overlap as…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This stock screen selects shares whose daily amplitude exceeds a threshold, whose price is above the five-day moving average, and whose prior session was not a limit-up day. The article frames a larger daily range as potentially useful for short-term trading…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The proposed screen seeks Chinese stocks with turnover between 3% and 12% and a positive gain below 35% over ten days, then looks for three technical indicators to cross upward at the same time. The accompanying formula describes rising 12-period and…

AksjerKinesiske markederMomentumTekniske indikatorer
MQL5 code base

This indicator draws two colored filled rectangles on a selected bar to show the space between two Keltner channel values. Its configurable inputs include the smoothing method and length, two deviation ratios, the applied price, band colors, the bar used for…

Tekniske indikatorerVolatilitet
FMZ forum

This tutorial develops an earlier cryptocurrency spot hedging bot for trading price spreads between two exchanges. It adds optional spot margin mode switching for Binance, separate trigger thresholds for trades in each direction, chart lines and live spread…

KryptoSpotmarkederArbitrasjeOrdreutførelse
BigQuant

This brief summary of a 2018 Chinese new-share market review reports that IPO issuance slowed while subscription winning rates remained stable. It also says that new-share subscription returns differed by investor category: A- and B-class investors…

AksjerKinesiske markederHendelsesdrevet handel
BigQuant

This overview explains active learning as a way to reduce the cost of building supervised or semi-supervised models when expert labels are scarce. A model repeatedly identifies candidate examples for human review, incorporates the resulting labels through…

MaskinlæringStatistikk
SuperMind

This document describes a Chinese stock selection rule combining daily price range, recent limit-up activity, and a long-term moving average. Stocks enter the candidate pool when their amplitude exceeds 1%, at least one limit-up occurred in the prior 25…

AksjerKinesiske markederTekniske indikatorerVolatilitet
MQL5 code base

This brief note describes a non-averaged, three-line trading indicator whose arrays are displayed as separate lines. Its updated version removes the period input, leaving no user-set formation parameters. The signal guidance centers on a yellow line moving…

Tekniske indikatorerTrendfølgende handelRisikostyring
SuperMind

This stock-screening proposal combines three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and a rising KDJ component. It presents these as filters for stocks with moderate momentum, buying pressure, and…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
BigQuant

This forum post raises a factor-construction question about accessing older financial statement observations beyond a platform's precomputed factors. The example is operating revenue: the author understands the suffix-zero field to represent the latest…

FaktorinvesteringAksjerStatistikk
SuperMind

This post describes a Chinese main-board stock screen requiring turnover between 3% and 12%, a daily gain above 1%, and a nonempty name for an outstanding convertible bond. It presents the bond-linked filter as a way to identify companies with…

AksjerKinesiske markederTekniske indikatorerRisikostyring