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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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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

12,226 dokumenter

SuperMind

The proposed stock screen combines an RSI range, a ratio of outside to inside trading volume above a stated threshold, and a 20-day moving average above a 120-day average. The article frames these conditions as a mix of market sentiment, trading-flow…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a price-change measure multiplied by large-order net volume, and a 15-minute MACD histogram whose green bars are becoming shorter. The accompanying discussion interprets the…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This Chinese A-share screening concept combines price amplitude above 1, a rounded or arc-like price pattern, and a minimum listing age. The article describes the rounded pattern as a way to favor smoother price behavior and suggests that longer-listed…

AksjerKinesiske markederTekniske indikatorerHistorisk testing
SuperMind

The proposed stock screen selects shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and seeks evidence of institutional buying at lower prices. The article frames institutional accumulation as a signal of focused research, while its…

AksjerKinesiske markederFaktorinvesteringRisikostyring
SuperMind

This stock screen combines three daily filters: price amplitude above 1, a controlling-shareholder measure above 21, and a positive price-to-earnings ratio. The article presents the combination as a way to include market activity, shareholder positioning,…

AksjerKinesiske markederFaktorinvesteringTekniske indikatorer
SuperMind

This stock screen combines three filters: daily trading amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and circulating market capitalization between 5 billion and 10 billion yuan. The article presents the…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The article describes a China-focused stock-selection screen for the metaverse theme. It combines membership in the metaverse sector with an opening gain below 6% at 9:25 and a condition described as a three-limit-up streak on the previous day. It provides…

AksjerKinesiske markederMomentumHistorisk testing
SuperMind

This proposed Chinese equity screen combines price stability, trading activity, and dividend history. It looks for stocks whose 5-, 10-, 20-, 60-, and 120-day moving averages converge, yesterday’s turnover exceeds 8%, and the 2019 dividend payout ratio is…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This proposed stock screen combines a 14-period RSI below 65 with a tradable market value between 50 and 100 billion yuan and a circulating share count no greater than 5.5 billion. The accompanying example calculates RSI from recent average gains and losses,…

AksjerKinesiske markederTekniske indikatorer
SuperMind

This Chinese A-share screening recipe combines three filters: RSI below 65, the ratio of external to internal trading volume above 1.3, and prior-day actual turnover between 3% and 28%. The article presents these as measures of technical condition, trading…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This stock selection example screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average. It further…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This Chinese-language post outlines an equity screen for stocks with daily amplitude above a threshold, a rising-bottom pattern, and seven consecutive declining sessions. It frames the decline streak as a possible oversold condition that could precede a…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer
SuperMind

This Chinese-language post describes an equity screening rule that combines membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a lagged MACD condition. The intended rationale is to focus on…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This document describes a Chinese equity screening rule that combines a turnover rate between 3% and 12%, outside volume more than 1.3 times inside volume, and a recent high matching the stock’s historical high. Its accompanying Python example adds a…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This Chinese equity screening example selects stocks using daily amplitude, a measure labeled today's controlling share change, and circulating market capitalization. It then expands the screen with positive price-to-earnings below a stated ceiling and a…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering
SuperMind

This stock-selection rule combines a positive MACD condition, an upward-moving average condition, and a filter on the prior day's actual turnover. The document explains these as trend and liquidity cues, then provides indicator formulas and a Python example…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This A-share screening idea combines a turnover filter with a newly formed KDJ golden cross and an RSI ceiling. Its stated rationale is to exclude shares with very low or unusually high activity, look for a possible trend turning point, and avoid stocks…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

The document describes a short-term A-share stock screen based on trading activity and recent price strength. Its stated conditions are intraday amplitude above a threshold, current volume above a threshold, an opening price above the prior close, and at…

AksjerKinesiske markederMomentumTekniske indikatorer
SuperMind

This post describes an equity screen requiring daily amplitude above one percent, an opening price near the 10-day moving average, and the prior closing price above the 250-day moving average. Its rationale combines short-term movement, an opening near a…

AksjerTekniske indikatorerTrendfølgende handelKinesiske markeder
SuperMind

This stock-selection post screens equities in the metaverse theme, requiring a positive price-to-earnings ratio and a price-change condition below six percent at 9:25. It presents the sector filter as a way to focus on a popular theme and positive P/E as a…

AksjerKinesiske markederFaktorinvestering
SuperMind

This Chinese-language strategy post proposes screening equities with three conditions: RSI below 65, best bid volume greater than best ask volume, and a shrinking negative MACD histogram on a 15-minute interval. The intended interpretation is that buying…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

The document describes a Chinese equities screening rule: keep stocks with turnover between 3% and 12%, require first-level bid volume to exceed first-level ask volume, rank candidates by the day's auction amount, and select the top five. It presents the…

AksjerKinesiske markederMarkedsmikrostrukturPosisjonsstørrelse