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
WonderTrader
14 dokumenter
Alphalens
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

12,226 dokumenter

SuperMind

This Chinese stock-screening idea selects shares with an amplitude measure above one, upward separation in short-term moving averages, and an auction-period price change between minus two and five percent. The stated rationale is to combine evidence of…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese market stock screen combines a technical momentum or condition filter with trading-flow and valuation criteria. It selects Shenzhen main-board stocks with RSI below 65, positive product of percentage price change and net super-large-order…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

Dual Thrust is described as a trend-following system that defines a recent trading range using the larger of two spans: the highest high minus the lowest close, or the highest close minus the lowest low, over a lookback period. The system places an upper buy…

FuturesKursbruddTrendfølgende handelRisikostyring
SuperMind

This stock-screening idea combines a relative strength index below a stated threshold with three consecutive down sessions and a moving-average crossover. The written description specifies a weekly five-period average crossing above a ten-period average,…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This article outlines an equity screen requiring amplitude above 1 and MACD above the zero line, with additional consideration of company characteristics. It interprets elevated amplitude as evidence of volatility and positive MACD as a buy signal, then…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This article describes a China A-share screening rule for Shenzhen main-board stocks. It combines amplitude above 1 with rising lows, a price-to-earnings ratio from 0 to 29.01, and a price-to-book ratio from 0 to 3.11. It provides example implementations in…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This Chinese-language post describes a stock selection screen built from three conditions: rank stocks by volume ratio and keep the top 500, require at least two limit-up sessions within the past 500 days, and require the 30-day closing-price trend to point…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This stock screen restricts candidates to the metaverse industry, then selects shares whose turnover rate two trading days earlier fell within a specified band and whose current low is below the previous day's low. The article interprets turnover as a sign…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This article proposes screening stocks with a daily range above a threshold, a close above a short moving average, and multiple moving-average crossover conditions. The intended logic combines volatility and an upward price signal with clustering among…

AksjerTekniske indikatorerMomentumHistorisk testing
SuperMind

This stock selection method combines a daily range filter with sustained positive large-order net volume and a positive five-day price bias. Its intended effect is to find shares with active buying and prices above their recent average. The article gives…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This proposed Chinese equity screen looks for stocks with daily amplitude above a threshold, signs of main-fund control on the prior day, and an opening price near the ten-day moving average. The stated rationale is to find active stocks whose opening prices…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The document proposes screening Chinese stocks in the metaverse industry for a circulating share count no greater than 5.5 billion, alongside bullish crossovers in three indicator pairs: a 5-day and 10-day moving average, a 5-period and 10-period RSI, and…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The document outlines an A-share screening rule combining daily price amplitude, market capitalization, recent profitability, and relative trading volume. Its refined criteria call for amplitude above 1%, capitalization below 10 billion yuan, positive net…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

The document explains the price-to-book ratio as a valuation measure calculated by dividing a stock’s market price by book value per share. It interprets lower ratios as possible signs of undervaluation or pessimistic expectations, while higher ratios can…

AksjerFaktorinvesteringStatistikk
SuperMind

This A-share screening approach combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and an institutional-flow reading above zero. The document explains the flow condition as a way to include a measure of…

Kinesiske markederAksjerTekniske indikatorerRisikostyring
SuperMind

This post describes a simple Chinese equity screen. It selects stocks with an amplitude above 1, a maximum decline for the day between 4% and 5%, and ranks qualifying stocks by the day’s auction amount, taking the top five. The stated rationale combines a…

AksjerKinesiske markederVolatilitetTekniske indikatorer
SuperMind

This note presents a stock screen requiring turnover between 3% and 12%, a newly formed KDJ golden cross, and circulating market value above 10 billion yuan. It frames the turnover band and market-value floor as ways to focus on stocks with trading activity…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a Chinese equity screening rule that selects beverage and alcohol related companies, requires turnover within a stated 3% to 12% range, and excludes stocks that hit the daily upper price limit on the previous day. It provides example…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This note describes an equity screen for companies in the metaverse industry. It selects stocks whose opening price is near the 10-day moving average and that have recorded seven consecutive sessions in which the close was below the prior close. The article…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetKinesiske markeder
SuperMind

This proposed stock screen selects companies associated with the metaverse concept, requires the 30-day moving average to be rising, and compares the opening price with the 10-day average. The page supplies example formulas and Python-style logic for these…

AksjerTekniske indikatorerTrendfølgende handelKinesiske markeder
SuperMind

This stock screen combines three conditions: price amplitude above a stated threshold, MACD above its zero line, and a prior-day 9:15 matched price at the limit-down level. The document interprets the positive MACD condition as a sign of an upward trend…

AksjerTekniske indikatorerMomentumRisikostyring
SuperMind

This Chinese-language post describes an equity screen combining daily price amplitude, convergence of five moving averages, and a 2019 dividend-related threshold. It proposes using the 5-, 10-, 20-, 30-, and 60-day averages, then adding other financial…

AksjerTekniske indikatorerFaktorinvesteringKinesiske markeder
SuperMind

This document proposes a Chinese stock-selection rule that combines a 14-period RSI below a stated threshold, displayed first-level buy volume greater than sell volume, and year-over-year growth in net profit attributable to parent-company shareholders…

AksjerKinesiske markederTekniske indikatorerStatistikk
SuperMind

This post describes a Chinese equity screen for companies classified in the metaverse sector. Its stated selection rules use relative volume between 1.5 and 6 and a history of limit-up sessions; the proposed revised version extends the lookback and requires…

AksjerKinesiske markederMomentumTekniske indikatorer