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 Chinese-language post describes an equity screening rule that combines a price amplitude threshold, rising lows, and a measure of shareholder concentration. It presents the rule in a screening formula and gives a Python example that checks recent low…

AktierTekniska indikatorerRiskhanteringKinesiska marknader
SuperMind

This post outlines a rule-based stock screen for Chinese A-shares. Its initial description selects stocks with an amplitude above one, excludes Beijing-listed shares, and requires at least two limit-up sessions within the prior 500 days. The post then…

AktierMomentumTekniska indikatorerKinesiska marknader
SuperMind

This note describes a simple Chinese-equity screen: select stocks whose daily high-low range exceeds 1% of the previous close, whose codes begin with 60, and which are outside the STAR Market. It provides corresponding formula and Python examples, making the…

AktierVolatilitetTekniska indikatorerKinesiska marknader
SuperMind

This stock screen selects companies classified in the metaverse industry with no more than 5.5 billion circulating shares and a dividend payout ratio above 25% for 2019. The accompanying example describes retrieving financial and dividend data, filtering for…

AktierKinesiska marknaderFaktorinvesteringRiskhantering
SuperMind

This stock-selection proposal combines a positive MACD reading with positive net profit and a limit on circulating shares. It presents the screen as a way to identify stocks with upward price momentum, profitable businesses, and a relatively small tradable…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

The document proposes a technical stock screen based on shares with at least five moving averages converging, naming the five-, ten-, twenty-, fifty-, and two-hundred-day averages. It also asks that the stock have a positive return over the previous year.…

AktierTekniska indikatorerTrendföljningRiskhantering
SuperMind

The document describes a Chinese stock screen that first limits candidates to the Metaverse concept, then selects shares whose closing price is above its five-day moving average. It ranks qualifying stocks by turnover rate, treating higher turnover as a…

AktierMomentumTekniska indikatorerKinesiska marknader
SuperMind

This stock-selection screen combines three technical conditions: daily amplitude above 1%, at least two limit-up events within a 500-day window, and a rising-trend setup. The trend condition requires the close to be at or above its 20-day moving average,…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This stock screen combines an RSI reading below 65, three consecutive sessions in which the close is below the open, and a KDJ K-line reading below 20. It is intended to identify shares with recent technical weakness, with the low KDJ value treated as a…

AktierTekniska indikatorerMedelvärdesåtergångKinesiska marknader
SuperMind

This stock selection idea combines three filters: daily amplitude above 1%, a dividend yield above 25% associated with 2019, and a ranking intended to favor stronger capital flows. The explanation treats amplitude as a way to find more volatile shares, the…

AktierTekniska indikatorerFaktorinvesteringKinesiska marknader
SuperMind

This post describes a stock-selection rule that combines membership in the metaverse theme with a prior-day close at or above the 250-day moving average and a condition labeled as a rising arc. It frames the theme membership as exposure to a popular sector,…

AktierKinesiska marknaderTekniska indikatorerMomentum
SuperMind

This Chinese-language post proposes a stock screen combining a relative strength index below 65, seven consecutive sessions in which the close is no higher than the open, and valuation bounds. It targets Shenzhen main-board stocks with price-to-earnings…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
SuperMind

This post describes a stock screen using three conditions: a daily high-low range exceeding one percent of the previous close, a trading date in 2021, and a smoothed stochastic-style K value below 20. It supplies formula and Python examples for calculating…

AktierKinesiska marknaderTekniska indikatorerVolatilitet
SuperMind

This Chinese-language post proposes a short-term A-share screening rule that combines membership in the metaverse industry, a rounded-base shape, and a bullish morning-star reversal signal. It gives a formula based on the prior and current sessions’ open and…

AktierKinesiska marknaderTekniska indikatorerMedelvärdesåtergång
SuperMind

The post proposes a Chinese A-share stock screen using three conditions: RSI below 65, seven consecutive sessions in which the close is no higher than the open, and a holder-concentration measure between 20% and 70%. It also provides example code intended to…

AktierKinesiska marknaderTekniska indikatorerMedelvärdesåtergång
SuperMind

This Chinese A-share stock screen ranks stocks by volume ratio and selects the top 100, then filters for a positive price-to-earnings ratio and an IPO year of 2021. The post interprets high volume ratio as possible inflow strength and positive P/E as a basic…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
SuperMind

This note outlines a stock screen combining MACD above zero, an upward price trend, and a volume ratio between 1.5 and 6. It describes the volume ratio as current volume relative to an average over recent sessions and includes formula and Python examples. A…

AktierMomentumTekniska indikatorerKinesiska marknader
SuperMind

This note describes a daily stock screen that selects A-shares in 2021 when the intraday high-low range exceeds 1% and the daily return is between -5% and 2.6%. It gives example implementations using a market formula and Python data processing, although the…

AktierVolatilitetTekniska indikatorerKinesiska marknader
SuperMind

This post describes a Chinese A-share screening rule using three conditions: the day’s increase in buying-position share must exceed five percent, the opening auction price change must be between minus two and five percent, and the ten-day return must be…

AktierMomentumKinesiska marknader
SuperMind

This A-share screening example looks for stocks with MACD above zero and an upward-moving-average condition, using a historical period associated with 2021. The article presents MACD as a momentum or trend filter and rising averages as a sign of upward…

AktierMomentumTekniska indikatorerKinesiska marknader
SuperMind

This stock screen combines an intraday range threshold with a year filter and a ranking by auction amount, selecting the five highest-ranked stocks. The accompanying explanation treats a larger range as a sign of greater volatility and auction amount as a…

AktierVolatilitetKinesiska marknader
SuperMind

The document outlines a Chinese A-share stock screen combining daily price range, relative trading volume, and a measure described as today’s control or large-order share. Its stated selection conditions require a range of at least one percent, relative…

AktierTekniska indikatorerKinesiska marknader
SuperMind

The document proposes a stock screen combining membership in the metaverse industry, a rounded-base chart pattern, and a favorable company-quality classification. It argues that company characteristics may relate to prospects, management, and profitability,…

AktierTekniska indikatorerRiskhantering