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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

This document describes a China A-share screening idea that selects stocks associated with the metaverse theme, requires the close to be above a five-day moving average, filters for a daily gain greater than 1%, and restricts candidates to main-board…

Kinesiske markederAksjerMomentumTekniske indikatorer
SuperMind

This post outlines a Chinese equity screen that requires daily amplitude above 1, turnover between 2% and 9%, and a rising KDJ K value. It presents these as technical filters intended to identify stocks showing activity and possible short-term strength. The…

AksjerKinesiske markederTekniske indikatorerMomentum
ProRealCode

The Market Cycle Projection Engine turns a Wyckoff-inspired cycle model into a five-state indicator: Accumulation, Markup, Distribution, Markdown, and Transition. It classifies bars using normalized linear-regression slope, the ratio of fast to slow ATR, and…

Tekniske indikatorerTrendfølgende handelTilbakevending mot gjennomsnittetVolatilitet
Amberdata research

This market commentary examines crypto options and spot-market conditions during the November 2022 FTX collapse. It argues that contagion concerns, thin liquidity, and possible abrupt news-driven moves made short-volatility positions especially exposed, even…

KryptoOpsjonerVolatilitetMarkedsmikrostruktur
SuperMind

This document describes a short-term Chinese equity screen combining daily amplitude above 1, a 9:25 price gain below 6%, and a stock price or average price above its five-day moving average. The intended rationale is to find stocks with some price movement…

AksjerKinesiske markederTekniske indikatorerTrendfølgende handel
Lumibot

The script demonstrates a classic allocation strategy that holds a portfolio with a target mix of 60% stocks and 40% bonds. It uses a drift rebalancer: when asset weights move away from their targets by a configured threshold, the strategy sells assets that…

Flere aktivaklasserPorteføljekonstruksjonHistorisk testingRisikostyring
BigQuant

This trading exercise translates a discretionary method into explicit stock-selection rules. A candidate must close above its five-day moving average for three consecutive days and remain within ten percent above its lowest price over the previous twenty…

AksjerTekniske indikatorerMomentumRisikostyring
BigQuant

The report develops stock-selection factors from one-minute Chinese equity data, adding transaction counts to price and volume inputs. It examines average trade value and the direction of large-trade activity, then evaluates these signals both alone and…

AksjerKinesiske markederFaktorinvesteringHøyfrekvenshandel
SuperMind

This note compares portfolio construction approaches, including equal weighting, market-cap weighting, and stratified sampling, with optimization methods such as mean-variance optimization, risk parity, target-risk, ABL, and tracking-error models. It…

AksjerKinesiske markederPorteføljekonstruksjonRisikostyring
SuperMind

This proposed Chinese equity screen combines three conditions: daily price range above 1%, positive afternoon large-order net inflow, and growth in beverage and alcohol imports and exports. The note interprets the range and order-flow measures as signs of…

AksjerKinesiske markederMarkedsmikrostrukturTekniske indikatorer
SuperMind

This note describes a simple Chinese equity screen combining daily price range, a recent high, and share supply. It selects stocks whose high is the highest of the current and prior day, whose daily range exceeds 1%, and whose tradable share count is no more…

AksjerKinesiske markederTekniske indikatorerVolatilitet
MQL5 code base

This MetaTrader expert advisor generates buy and sell signals by comparing the current bar’s open price with moving average values from the current and preceding bars. It evaluates the conditions on every tick. When a signal appears in a direction that…

Tekniske indikatorerTrendfølgende handel
SuperMind

This stock screen combines three conditions: daily amplitude above a stated threshold, no limit-up close on the previous day, and at least one limit-up event during the past month. The article frames larger amplitude as a way to find more active stocks,…

AksjerKinesiske markederMomentumVolatilitet
MQL5 code base

XWAMI is a momentum indicator that displays a colored cloud to show trend direction. Its smoothing algorithm can be changed, allowing users to view the indicator with different smoothing methods. The document notes that the implementation relies on a library…

MomentumTekniske indikatorer
SuperMind

This Chinese equity screen combines three filters: at least five moving averages should converge, the price-to-earnings ratio must be positive, and the dividend payout ratio for 2019 must exceed 25%. The document interprets moving average convergence as a…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This proposed Chinese equity screen combines a relative strength index below 65 with price change and net activity from very large orders, plus a revenue growth test: 2021 revenue divided by 2018 revenue must exceed 1.1. The narrative presents these filters…

AksjerKinesiske markederTekniske indikatorerMomentum
BigQuant

This platform guide distinguishes raw financial statement records from processed point-in-time (PIT) data and explains why the distinction matters in quantitative investing. Raw records are organized by instrument, report date, publication date, and change…

AksjerKinesiske markederHistorisk testingStatistikk
SuperMind

This document presents a Chinese equity screening rule that selects stocks whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose short and long moving averages show alignment. The initial description calls for at least five…

AksjerKinesiske markederTekniske indikatorerRisikostyring
BigQuant

This brief Chinese-language forum exchange concerns whether a user can retrieve feature importance from a random forest in a visual quantitative-strategy platform. The reply identifies the random forest module and suggests creating a visual strategy template…

MaskinlæringFaktorinvestering
MQL5 code base

This document explains a custom Hull Moving Average indicator calculated from closing prices. For each bar, it computes weighted moving averages over the full period and half period, doubles the half-period average and subtracts the full-period average, then…

Tekniske indikatorerTrendfølgende handel
MQL5 code base

This document describes an MQL5 expert advisor intended to manage already-open positions by closing them when profit or loss reaches a user-set threshold expressed as a percentage of account balance. It does not generate entries or determine when to trade,…

RisikostyringOrdreutførelse
FMZ forum

The document explains a high-frequency tactic called penny jumping through a limit-order-book example. A large visible bid may signal that an institutional buyer is willing to trade at a particular price. A faster trader can step one tick ahead of that bid,…

AksjerHøyfrekvenshandelMarkedsmikrostrukturOrdreutførelse
BigQuant

This monthly review compares equity factors using information coefficients (IC) and long-short returns. It reports that growth and turnover factors were relatively consistent over the preceding three months, while profitability and reversal results varied;…

AksjerFaktorinvesteringStatistikkHistorisk testing
SuperMind

This Chinese equity screening proposal selects stocks in the metaverse theme, applies a circulating market capitalization threshold, and requires a positive institutional-holdings measure. The article explains institutional ownership as a possible signal of…

AksjerKinesiske markederFaktorinvesteringRisikostyring