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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
TqSdk
86 documenten
Quantpedia
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
Binance API docs
45 documenten
Quantopian-colleges
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

766 documenten

Amberdata research

This research summary examines Shanghai–Hong Kong and Shenzhen–Hong Kong Stock Connect, comparing northbound and southbound trading and describing the traits associated with northbound holdings. It reports that flows did not reliably anticipate market…

Chinese marktenAandelenFactorbeleggenMarktmicrostructuur
Amberdata research

This note proposes screening equities for intraday amplitude above 1, prior-day actual turnover between 3% and 28%, and positive net large-order flow during the afternoon. The combined filters aim to find shares showing both price movement and trading…

AandelenChinese marktenTechnische indicatorenMarktmicrostructuur
Amberdata research

The article explains how leveraged perpetual futures positions can be liquidated when traders fail to meet maintenance margin requirements. It treats liquidation data as forced buy or sell order flow that may reveal short-term market pressure, and describes…

CryptoPerpetuele futuresMarktmicrostructuurBacktesten
Amberdata research

This article outlines factors to assess before depositing token pairs into a decentralized exchange liquidity pool. Liquidity providers receive a share of swap fees, generally represented by redeemable pool tokens, and some pools may also distribute…

DeFiRisicobeheerVolatiliteitBacktesten
Amberdata research

This market snapshot reviews several crypto themes: a sharp contraction in AI-agent token capitalization alongside rebounds in a few assets, relative strength in DeFAI, and a newly announced WLFI fund focused on major crypto assets. It also discusses…

CryptoMarktsentimentOn-chaingegevensTechnische indicatoren
Amberdata research

This podcast recap discusses how AI agents may interact with crypto assets and decentralized applications, alongside a vision for regulated DeFi that connects conventional banking with self-custodied digital assets. The guest describes agents as systems that…

CryptoDeFiMachine learningPrijsbepaling van derivaten
Amberdata research

This market commentary reviews crypto volatility conditions and options positioning in September 2023. It notes subdued equity volatility and low realized volatility in crypto, while describing rising put-wing implied volatility for a near-term Bitcoin…

CryptoOptiesVolatiliteitPrijsbepaling van derivaten
Amberdata research

This beginner-oriented guide recommends planning trades in advance, researching assets before buying, and avoiding impulsive decisions driven by hype or fear of missing out. It advocates diversification across crypto assets, monitoring Bitcoin as a possible…

CryptoRisicobeheerPositiegrootteTechnische indicatoren
Amberdata research

This weekly crypto market report assesses a recovery in prices by combining spot performance with trading volume, volatility, open interest, funding, order book depth, ETF flows, stablecoin issuance, and DeFi credit measures. It interprets rising prices…

CryptoVolatiliteitMarktmicrostructuurMarktsentiment
Amberdata research

This market snapshot reviews several digital-asset areas: centralized exchange share, spot price moves, futures long-short ratios, DeFi lending activity, and blockchain transaction patterns. It describes Binance losing exchange-volume share after regulatory…

CryptoSpotmarktenPerpetuele futuresDeFi
Amberdata research

This conference recap describes several developments in digital asset markets: valuing tokens against underlying revenue and rights, crypto-native venues affecting traditional markets, software agents transacting autonomously, and institutions connecting…

CryptoFuturesMarktmicrostructuurOrderuitvoering
Amberdata research

This market commentary connects Federal Reserve expectations and stablecoin policy news with volatility in crypto and crypto-linked equities. It focuses on Circle’s post-IPO shares, noting a sharp rise in implied volatility and short-dated call skew, then…

CryptoOptiesVolatiliteitAandelen
Amberdata research

The recap compares Bitcoin and Ethereum options markets through realized and implied volatility, term structures, skew, and relative gamma pricing. It describes BTC shifting into contango as front-end implied volatility falls more sharply than longer-dated…

CryptoOptiesVolatiliteitPrijsbepaling van derivaten
Amberdata research

The article outlines ways decentralized finance and smart contracts could alter financial institutions beyond offering new digital asset exposure. It describes decentralized data storage as a possible way to reduce reliance on centralized data centers, and…

DeFiCryptoOn-chaingegevensOrderuitvoering
Amberdata research

The article explains how an Ethereum contract can request off-chain data through Chainlink and use Amberdata as a source for market and blockchain information. It outlines the request lifecycle: fund the deployed contract with LINK, submit a request…

CryptoOn-chaingegevensOrderuitvoering
Amberdata research

The article explains why investment managers entering digital assets need consolidated data on markets, liquidity, risk, and blockchain activity. Crypto trading is spread across global venues that operate continuously, with each venue using its own changing…

CryptoMarktmicrostructuurOn-chaingegevensOrderuitvoering
Amberdata research

The newsletter assesses a sharp rise in Bitcoin volatility alongside macroeconomic catalysts and crypto market positioning. It uses options implied volatility and term-structure richness as indicators of stress, noting that a high backwardation reading has…

CryptoOptiesVolatiliteitFutures
Amberdata research

This weekly note reviews Bitcoin and Ether options conditions around March 5, 2023. It links falling spot prices to softening implied volatility, describes a contango term structure, and points to the largest roll-down between short dated maturities and the…

CryptoOptiesVolatiliteitPrijsbepaling van derivaten
Amberdata research

This midweek derivatives recap describes a subdued Bitcoin market and summarizes changes in implied and realized volatility, term structure, skew, options activity, and dealer gamma. It reports that Bitcoin’s realized volatility fell by about 10 points while…

CryptoOptiesVolatiliteitPrijsbepaling van derivaten
Amberdata research

The newsletter links weaker U.S. payroll data and expectations for Federal Reserve rate cuts with diverging moves in gold and crypto. It interprets low VIX readings, short VIX futures positioning, and differences between September and October VIX futures as…

CryptoOptiesVolatiliteitPrijsbepaling van derivaten
Amberdata research

The analysis compares Binance BTC/FDUSD order book behavior around six 2025 Federal Open Market Committee decisions: five rate holds and one cut. It tracks five-minute averages of volatility, bid-ask spread, depth, order book imbalance, and pressure…

CryptoMarktmicrostructuurVolatiliteitOrderuitvoering
Amberdata research

This strategy-sharing article describes an enhanced China Securities 150 equity approach that blends model-based stock ranking with technical timing. The universe is manually narrowed to roughly 100–300 large, liquid constituent-style stocks. An AI model…

AandelenMachine learningMomentumTechnische indicatoren
Amberdata research

The document explains how executed trades and resting orders provide different views of Bitcoin markets. Trade volume shows what has already happened, while order book depth aggregates buy and sell interest at unexecuted price levels. A depth chart gives a…

CryptoMarktmicrostructuurOrderuitvoeringArbitrage
Amberdata research

This podcast recap discusses institutional participation in crypto, the launch of U.S. spot Bitcoin ETFs, the more modest reception of Ethereum ETFs, and regulatory barriers to further products. It describes how financial advisers and smaller offices can…

CryptoSpotmarktenAmerikaanse marktenDeFi