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 selects Chinese A-shares outside the Beijing market with turnover between 3% and 12%, then filters for an opening auction price change above -2% and below 5%. The document gives a formula-style expression and a Python example intended to…

AktierKinesiska marknaderMomentum
SuperMind

This post proposes an A-share stock screen combining an RSI below 65, a positive product of daily price change and a proxy for very large order net volume, a limit-up event within roughly the past month, and a price-to-earnings ratio below 30. It describes…

Kinesiska marknaderAktierTekniska indikatorerMomentum
SuperMind

This stock-selection approach combines three technical conditions: a daily high-low range above one percent, a newly formed KDJ bullish crossover, and an upward-sloping 30-day moving average. The article proposes using stocks that meet all three conditions…

Kinesiska marknaderAktierTekniska indikatorerMomentum
SuperMind

This algorithmic strategy combines a nine-signal Piotroski-style fundamental score with short-term return reversal. It ranks stocks using the most recently available quarterly statements, classifies firms as strong, middle, or weak on fundamentals, and pairs…

AktierMedelvärdesåtergångFaktorinvesteringPortföljkonstruktion
SuperMind

This post describes a short-term Chinese stock screen combining daily amplitude, a proxy for main-force control, and a run of at least three consecutive advances. It frames the conditions as a way to find volatile stocks with strong recent price action. The…

Kinesiska marknaderAktierMomentumUtbrott
SuperMind

This historical stock screen combines a daily price-amplitude condition with a date filter and a morning star candlestick signal. It looks for observations from 2021 where the high-to-low range exceeds 1% under the formula shown, and where the pattern…

AktierKinesiska marknaderTekniska indikatorerMedelvärdesåtergång
SuperMind

This stock selection method combines a technical filter with earnings growth and valuation criteria. It selects Shenzhen main-board stocks whose RSI is below 65, whose parent-company net profit growth is above 20% and no more than 100%, whose…

AktierKinesiska marknaderTekniska indikatorerFaktorinvestering
SuperMind

This proposed screen starts with Chinese stocks whose codes begin with 60 and whose turnover rate is between 3% and 12%, then says to rank qualifying names by individual-stock attention or popularity. The accompanying explanation treats attention as a proxy…

AktierKinesiska marknaderMarknadssentimentTekniska indikatorer
SuperMind

This proposed Chinese equity screen selects stocks with daily turnover between 3% and 12%, a reversal or engulfing-style pattern, and a listing history longer than a chosen number of years. The article illustrates the pattern using daily price ranges and a…

AktierKinesiska marknaderTekniska indikatorerMedelvärdesåtergång
SuperMind

This Chinese A-share screening proposal combines three conditions: RSI below 65, upward-diverging moving averages on the current day, and at least two limit-up sessions within the preceding 500 days. The article presents the screen as a way to combine…

AktierKinesiska marknaderTekniska indikatorerMomentum
SuperMind

This stock-screening idea combines trading activity, recent price movement, and a qualitative early-uptrend condition. It selects shares with turnover between 3% and 12%, a positive ten-day gain below 35%, and a pattern described as the start of a major…

AktierKinesiska marknaderMomentumTekniska indikatorer
SuperMind

This A-share screening idea looks for stocks associated with the metaverse theme, a circulating share count no greater than 5.5 billion shares, and at least one limit-up day during the prior 25 trading days. The document frames the filters as a way to focus…

AktierMomentumKinesiska marknaderTekniska indikatorer
SuperMind

This A-share stock screen combines three conditions: daily turnover between 3% and 12%, an opening price within 5% of the ten-day simple moving average of closing prices, and circulating market capitalization between 5 billion and 10 billion yuan. It uses…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This stock screen ranks candidates by a volume ratio, then filters for positive large-order net volume above 0.05 for at least three consecutive days and a rising 30-day average. The article interprets stronger volume ratios and persistent large-order…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This Chinese stock-screening example selects shares in the metaverse industry whose circulating share count is at most 5.5 billion and whose price is at or above its five-day moving average. It presents the rule as a technical filter intended to identify…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This post proposes screening main-board shares with turnover rates between 3% and 12%, a daily gain above 1%, and an opening price near the 10-day moving average. Its example defines “near” as within 3% of that average. The rationale is to find short-term…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This post describes a short-term equity screen requiring daily price amplitude above 1, evidence of main-force control on the previous day, and a share price below 12. It characterizes the filters as combining technical and fundamental considerations,…

AktierTekniska indikatorerRiskhanteringKinesiska marknader
SuperMind

This Chinese stock-screening post proposes selecting beverage and alcohol import-export companies with a 14-period RSI below 65 and previous-day turnover value above 60 million yuan. It presents RSI as a gauge of buying and selling conditions, sector…

AktierTekniska indikatorerKinesiska marknader
SuperMind

This stock selection rule screens for turnover between 3% and 12%, a rising DEA indicator, and a maximum holder concentration value no greater than 20%. The article describes the concentration filter as a way to favor stocks with more dispersed holdings and…

AktierTekniska indikatorerMomentumRiskhantering
SuperMind

This stock screen combines three conditions: turnover between 3% and 12%, a rising DEA indicator, and a low price threshold. Its accompanying formula describes DEA through moving-average relationships, while the Python example calculates the indicator and…

AktierTekniska indikatorerMomentumKinesiska marknader
SuperMind

This Chinese-language post describes a short-term A-share screening rule: select stocks in the metaverse sector, require the reported opening-price change at 9:25 to be below six percent, and require a positive institutional-flow indicator. It presents a…

AktierKinesiska marknaderMarknadssentimentTekniska indikatorer
SuperMind

This stock-selection idea combines an amplitude filter with a weekly moving-average crossover and a condition described as the start of a strong upward move. The intended approach is to identify stocks near the beginning of a rising trend, then assess them…

AktierTrendföljningTekniska indikatorerMomentum
SuperMind

This daily post-close stock screen selects shares whose MACD reading is above zero and whose short-to-long moving-average sequence is rising. It then orders eligible names by a measure of individual-stock heat, intended to represent market attention. The…

Kinesiska marknaderAktierMomentumTekniska indikatorer
SuperMind

This stock-screening concept targets Chinese A-share companies with positive earnings, market capitalization below the stated ceiling, a daily high-low range above the stated threshold, and a nonempty name for an outstanding convertible bond. The document…

Kinesiska marknaderAktierTekniska indikatorerFaktorinvestering