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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.

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20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
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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
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

This Chinese equity screen combines three conditions: daily amplitude above 1, a 9:25 a.m. gain below 6%, and a weekly price series crossing above its 30-week moving average. The post presents the combination as a way to consider volatility, the opening…

AksjerTekniske indikatorerTrendfølgende handelKinesiske markeder
SuperMind

This Chinese equity screening post combines a 14-period RSI below 65 with three consecutive down sessions and a volume-based condition involving yesterday’s turnover and today’s opening-auction activity relative to prior volume. The intended range for the…

AksjerTekniske indikatorerMarkedsmikrostrukturKinesiske markeder
SuperMind

This Chinese-equity screening proposal combines three conditions: RSI below 65, a daily gain above 1%, and main-board listing status. It further requires large-order net buying above 0.05 hundred million yuan for at least three days. The rationale offered is…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

This stock screen selects companies assigned to a metaverse industry category, with a positive recent return and five moving averages aligned at the same value. The specified averages use 5, 10, 20, 30, 60, and 120 periods, and the combined example also adds…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

This stock screen combines three conditions: daily price amplitude above 1%, a listing history longer than one year, and a nonempty name for an outstanding convertible bond. The accompanying rationale treats amplitude as a sign of activity, listing age as a…

AksjerTekniske indikatorerKinesiske markeder
SuperMind

The document describes a Chinese A-share screening rule focused on stocks associated with the metaverse theme. It combines sector membership with a circulating market capitalization threshold, current trading volume above 10,000 lots, and an opening price…

AksjerKinesiske markederKursbruddTekniske indikatorer
SuperMind

This Chinese equity screen combines three conditions: a 14-period RSI below 65, unchanged 30-day high and low values compared with the prior session, and an opening price less than 6% above the previous close. The article frames the morning price cap as a…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

This note describes a Chinese equity screen requiring a daily high-low range greater than 1% of the previous close, a trading date in 2021, and a filter intended to exclude stocks that hit the daily price limit on the prior day. It provides indicator-formula…

AksjerTekniske indikatorerVolatilitetKinesiske markeder
SuperMind

This A-share screening idea combines three signals: prices above several moving averages, net buying by large orders in the afternoon, and shrinking green bars on a 15-minute MACD. The text interprets moving-average alignment as a stable trend, large-order…

AksjerTekniske indikatorerMomentum
SuperMind

This screening rule selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day's exchange activity list, and a price-to-earnings ratio below 20. The stated rationale is to combine a moderate level of trading activity…

Kinesiske markederAksjerFaktorinvesteringTekniske indikatorer
SuperMind

This stock selection idea combines a price range condition, sustained profitability, and a recent price high. It seeks shares whose high-to-low movement exceeds a volatility threshold, whose return on equity stayed above 15% for five consecutive years, and…

Kinesiske markederAksjerTekniske indikatorerFaktorinvestering
SuperMind

This post outlines a Chinese-market stock screen that targets companies associated with the metaverse concept. It combines a rising 30-day moving average with a close above the previous session’s low. The article supplies indicator logic and a Python…

AksjerKinesiske markederTekniske indikatorerMomentum
SuperMind

The strategy screens Chinese equities associated with the metaverse theme. It requires the previous day’s actual turnover to be between 3% and 28%, and at least one limit-up event during the prior 25 days. The rationale is that the industry theme may offer…

AksjerMomentumKinesiske markederTekniske indikatorer
SuperMind

This stock-selection idea combines three filters: at least five moving averages converge, turnover lies between 2% and 9%, and the stock’s gain at 9:25 is below 6%. The document interprets clustered averages as relatively stable price behavior, the turnover…

AksjerTekniske indikatorerKinesiske markederHistorisk testing
SuperMind

This article proposes screening Chinese stocks using three conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and a signal derived from beverage and alcohol import-export data. It describes the crossover as a possible sign of…

AksjerTekniske indikatorerMomentumKinesiske markeder
SuperMind

The document describes a Chinese equity screen combining three conditions: daily high-low amplitude above one, at least one daily gain of 10% or more in the prior 25 trading days, and parent-company net profit growth above 20% and no more than 100%. It…

AksjerKinesiske markederVolatilitetMomentum
SuperMind

This article describes a Chinese stock selection screen combining three conditions: a daily high-low amplitude above one, a three-session limit-up sequence on the prior day, and a prior-day 9:15 indicative matching price at the limit-down level. It frames…

Kinesiske markederAksjerTekniske indikatorerHistorisk testing
SuperMind

This equity screen combines three signals: rank stocks among the top 100 by volume ratio, require a newly formed KDJ bullish crossover, and require the 30-day moving average to slope upward. The document presents these filters as checks on trading activity,…

AksjerTekniske indikatorerMomentumTrendfølgende handel
SuperMind

This stock selection method combines a turnover range of 3%–12%, greater first-level bid volume than ask volume, and a rising KDJ K line. The accompanying indicator example also checks for consecutive K increases, price above a short moving average, positive…

AksjerTekniske indikatorerMomentumMarkedsmikrostruktur
SuperMind

This post describes a stock screen using three conditions: amplitude above a threshold, a current-day maximum decline between the stated percentage bounds, and a previous session that was not limit-up. It provides a formula reference and a Python example…

AksjerKinesiske markederTekniske indikatorerRisikostyring
SuperMind

This Chinese-language post outlines an equity screening idea that combines stocks with amplitude above a stated threshold, the five highest opening-auction amounts for the day, and a proxy for institutional buying. It gives a corresponding indicator-formula…

AksjerKinesiske markederTekniske indikatorerFaktorinvestering