Hoppa till innehåll

Kunskapsbibliotek

Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.

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

Sök i biblioteket

12,226 dokument

SuperMind

This stock screen combines three filters: daily amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute interval, and positive indicators associated with beverage and alcohol imports and exports. The stated rationale is to seek…

AktierKinesiska marknaderTekniska indikatorerMomentum
SuperMind

This document proposes screening A-shares for turnover between 3% and 12%, total market value below 10 billion yuan, no reported losses, and free-float market value above 1 billion yuan. It frames the combination as a way to narrow the universe by trading…

AktierFaktorinvesteringStatistikKinesiska marknader
SuperMind

This document describes a stock-selection rule for A-shares using three conditions: price amplitude above 1%, a 2021 date filter, and best bid volume greater than best ask volume. It presents the rule as a way to identify more volatile stocks with potential…

AktierVolatilitetMarknadsmikrostrukturTekniska indikatorer
SuperMind

This article describes a daily pre-market stock screen for Chinese equities. It selects stocks whose MACD value is above zero, whose trailing price-to-earnings ratio is positive, and whose observation falls in 2021. The article interprets positive MACD as an…

AktierKinesiska marknaderMomentumTekniska indikatorer
SuperMind

This post proposes an equity screen combining daily range above a threshold, rising lows, and price above its five-day moving average. Its expanded version adds a longer-term trend check using the 20-day and 250-day averages, valuation limits, market-cap…

AktierTekniska indikatorerMomentumTrendföljning
SuperMind

This post describes a short-term stock screen combining three prior-day conditions: price amplitude above 1%, appearance on the market’s named trading list, and turnover above 8%. The rationale is to find shares with notable movement and active trading,…

Kinesiska marknaderAktierTekniska indikatorerMomentum
SuperMind

This introductory article explains the basic objects and notation of linear algebra used in machine learning and deep learning. It defines scalars, vectors, matrices, and higher-order tensors, with examples such as feature vectors, neural-network weights,…

MaskininlärningStatistikPortföljkonstruktion
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

AktierMomentumTekniska indikatorerOrderutförande
SuperMind

This note describes a screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose top 20% of shareholders collectively hold less than 70% of shares. It presents these conditions as filters for liquidity and ownership…

AktierKinesiska marknaderStatistikRiskhantering
SuperMind

This note describes a stock screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose price-to-earnings ratio is positive. The code example obtains a current trading date and filters listed stocks using those criteria.…

AktierKinesiska marknaderFaktorinvesteringRiskhantering
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

AktierTekniska indikatorerMomentumVolatilitet
SuperMind

This proposed equity screen combines membership in the metaverse sector, a rounded price pattern, and a circulating share count capped at 5.5 billion. The article frames the float limit as a way to focus on relatively smaller stocks and suggests…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This stock-selection screen combines price amplitude above 1, a dividend-related payout ratio above 25% for 2019, and a rising-bottom condition. The explanation treats larger amplitude as a sign of greater trading opportunity, the dividend filter as a way to…

AktierTekniska indikatorerVolatilitetRiskhantering
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

AktierMomentumKinesiska marknaderTekniska indikatorer
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

Kinesiska marknaderAktierFaktorinvesteringMomentum
SuperMind

The document proposes a Chinese equity screen requiring MACD to be above zero, the DEA signal line to be rising, and the ten-day return to be positive but below 35%. It presents the indicators as a way to identify favorable short-term trend conditions while…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This document is a structured metadata record about Lumiwealth and its Lumibot project. It identifies the organization as the project owner, describes Lumibot as a Python framework for building, backtesting, and deploying trading bots, and lists supported…

SuperMind

The document describes a Chinese equity screening rule combining three filters: turnover between 3% and 12%, a positive ten-day return below 35%, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%.…

AktierMomentumFaktorinvesteringKinesiska marknader
SuperMind

This article outlines an equity screen combining membership in the Metaverse theme, positive net buying by large participants during the auction, and a moving-average trend condition. Its formula expresses the trend condition as the 30-day average above the…

AktierKinesiska marknaderTekniska indikatorerMomentum
SuperMind

This note describes a stock screening rule that combines a positive MACD reading, a company or concept filter, and a stochastic K value below 20. The intended logic is to select shares with an upward trend signal while looking for an oversold condition that…

AktierKinesiska marknaderTekniska indikatorerMedelvärdesåtergång
SuperMind

This note presents a short-term Chinese equity screen based on daily price range greater than 1, volume above 10,000 lots, an opening price above the previous close, and a reported increase in positions of at least 5%. It frames range, volume, and the…

AktierKinesiska marknaderMomentumTekniska indikatorer
SuperMind

This note proposes screening Chinese equities for turnover between 3% and 12%, a K reading below 20, and first-level bid volume greater than first-level ask volume. Its indicator examples also include additional filters for price, market capitalization, and…

AktierKinesiska marknaderTekniska indikatorerMarknadsmikrostruktur
SuperMind

This note describes a short-term screen for Chinese equities associated with the metaverse theme. It combines a user-defined arc-shaped price pattern with current volume above 10,000 lots and an opening price above the previous session’s high. The article…

AktierKinesiska marknaderTekniska indikatorerMomentum