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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

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

Doorzoek de bibliotheek

12,226 documenten

SuperMind

This post describes a technical stock-selection rule combining a prior-session price range above 1%, an opening price within 5% of the ten-day moving average, and a pattern intended to identify rising lows. Example formulas operationalize the range and…

AandelenTechnische indicatorenTerugkeer naar het gemiddeldeRisicobeheer
SuperMind

This post presents a technical stock screen based on a prior-session price range above 1, current volume above 10,000 lots, an opening price above the previous close, and an auction return between -2% and 5%. Its premise is to find active stocks with…

AandelenTechnische indicatorenMarktmicrostructuurRisicobeheer
SuperMind

This proposed equity screen looks for stocks with amplitude above one percent, a control measure above 21, and seven consecutive down days. Its refined version also requires circulating market capitalization of at least 3 billion. Example implementations are…

AandelenTerugkeer naar het gemiddeldeTechnische indicatorenRisicobeheer
SuperMind

This stock selection proposal combines a daily amplitude threshold, a recent reversal candle pattern, and a measure described as today’s control rate. Its refined rule requires amplitude above one percent, a reversal pattern within the past three days, and a…

AandelenTechnische indicatorenVolatiliteitBacktesten
SuperMind

This Chinese equity screening example combines three conditions: a price amplitude above 1%, an opening price within 5% of the 10-day moving average, and a closing price of 18.5 yuan. The accompanying explanation associates the range condition with…

AandelenChinese marktenTechnische indicatorenVolatiliteit
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and an intraday low that falls between 4% and 5% below the closing price. It then limits the output to the first 20…

AandelenChinese marktenMarktmicrostructuurTerugkeer naar het gemiddelde
SuperMind

This Chinese stock-screening example combines three filters: rank equities by a capital-strength measure, require strong main-fund control on the previous day, and limit market capitalization to below 10 billion yuan while excluding companies with a history…

AandelenChinese marktenMarktmicrostructuurRisicobeheer
SuperMind

The document proposes a short-term stock selection rule that combines price movement, moving average conditions, and turnover-related data. Its written logic calls for amplitude above a threshold, three moving averages to cross upward in sequence, and a…

Chinese marktenAandelenTechnische indicatoren
SuperMind

This post describes a China equity screening idea that combines a metaverse industry filter, a newly formed KDJ bullish crossover, and first-level bid volume greater than ask volume. It provides both a screening-expression example and a Python outline that…

AandelenChinese marktenTechnische indicatorenMarktmicrostructuur
SuperMind

This A-share screening idea selects companies associated with the metaverse theme, limits the share float, and looks for a newly formed KDJ golden cross. The intended signal is a crossover in which the K line moves above the D line; the screen also specifies…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This A-share stock screen combines a relative strength index ceiling with a minimum listing age and a positive but capped recent return. The article first describes a ten-day return condition, then presents a final screen using a five-day return instead,…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This Chinese-language post describes a daily stock selection screen combining MACD, share price, and a volume-shape condition. It calls for MACD above zero, a price below 12 yuan, and a rounded volume pattern over roughly 30 days. The post suggests running…

AandelenTechnische indicatorenChinese markten
SuperMind

This stock selection rule filters for names with turnover between 3% and 12%, a positive product of the daily price change and net flow attributed to very large orders, and a positive price-to-earnings ratio. The document explains the intended combination as…

AandelenTechnische indicatorenMarktsentimentChinese markten
SuperMind

The proposed daily stock screen selects companies with market capitalization below 10 billion yuan, a positive profitability condition, daily MACD above zero, and amplitude greater than one. It describes selecting candidates before the market opens and then…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This proposed stock screen combines three filters: shares with codes beginning with 60, companies valued below 10 billion yuan, and businesses with no recorded losses. It ranks candidates by a funds-strength measure, with turnover rate and volume ratio…

AandelenChinese marktenMomentumMarktmicrostructuur
SuperMind

This post proposes screening stocks with daily amplitude above 1, an indication of main-force control on the previous day, and weekly MACD above zero. It presents the filters as a technical approach intended to find stocks with potential for short-term…

AandelenChinese marktenTechnische indicatorenRisicobeheer
SuperMind

This post describes a Chinese stock screen for companies classified under the metaverse theme that had turnover above 8% on the prior day and appeared on the prior day’s trading leaderboard. It treats leaderboard inclusion as a signal of notable investor…

AandelenChinese marktenMarktsentimentMarktmicrostructuur
SuperMind

This post outlines a Chinese equity screen for robotics-related stocks. It combines daily amplitude above 1, free-float shares no greater than 5.5 billion, and circulating market value below 10 billion. The accompanying examples show how to express the…

AandelenChinese marktenVolatiliteitRisicobeheer
SuperMind

This Chinese stock-selection example screens for turnover between 3% and 12%, circulating market capitalization from 1 to 55 hundred million yuan, and a KDJ K value below 20. It presents the criteria as a way to select stocks, then gives example expressions…

Chinese marktenAandelenTechnische indicatorenBacktesten
SuperMind

This Chinese stock-screening post proposes selecting robot-concept equities using four filters: daily high-low amplitude above a threshold, prior-day trading activity above a stated threshold, membership in the robot theme, and circulating market value below…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

This research review examines whether a US equity mutual fund’s performance relates to other funds following its trades. It extends a herding measure to classify funds by how strongly their purchases or sales are followed in later quarters, then compares…

AandelenStatistiekMarktsentimentFactorbeleggen
SuperMind

This stock-selection rule combines an RSI reading below a threshold, seven consecutive declining sessions, and a signal described as main-fund control or buying on the previous day. The post presents the combination as a way to identify shares using both…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

The document describes a Chinese stock screen combining a turnover-rate range, an outside-to-inside trade-volume ratio above a threshold, and a positive but capped ten-day price gain. It also provides example implementations for a stock-code subset and…

AandelenChinese marktenMomentumTechnische indicatoren
SuperMind

This Chinese equity screen selects beverage and alcohol-related stocks with turnover between 3% and 12% whose current price reaches the highest high across a two-day window. The stated rationale is to combine moderate trading activity, an industry filter,…

AandelenChinese marktenMomentumUitbraak