Hopp til innhold

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.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
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
Quantpedia
86 dokumenter
TqSdk
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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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
Lumibot strategies
7 dokumenter
QuantRocket
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

766 dokumenter

Amberdata research

This market recap describes how a sharp Bitcoin and Ether sell-off affected realized and implied volatility, term structure, option skew, trading flows, and dealer gamma. Short-dated put demand pushed weekly skew into put premium, while longer-dated skew…

KryptoOpsjonerVolatilitetPrising av derivater
Amberdata research

This research summary argues that factor returns can vary nonlinearly and across groups of stocks, so a single linear factor relationship may miss meaningful differences. It contrasts direct nonlinear transformations, which can be hard to justify…

Kinesiske markederAksjerFaktorinvesteringStatistikk
Amberdata research

The document compares free and paid crypto options scanners for professional trading teams. It explains that scanners consolidate activity across exchanges and that richer tools can report net volume and positioning, delta-based butterfly measures, block and…

KryptoOpsjonerVolatilitetMarkedssentiment
Amberdata research

The article argues that institutional digital-asset activity depends on reliable custody, transparent market data, and timely transaction records. It describes how order books, trade histories, and snapshots from centralized and on-chain venues can support…

KryptoMarkedsmikrostrukturHøyfrekvenshandelHistorisk testing
Amberdata research

The article investigates an unusual spike in Ethereum gas prices detected while monitoring recent blockchain activity. The authors describe checking their query results, examining a short time window, and filtering for transactions above an exceptionally…

KryptoOn-chain-dataMarkedsmikrostruktur
Amberdata research

This market commentary argues that implied volatility in crypto options appears low relative to an uncertain macroeconomic backdrop. It points to volatility measures and charts for Bitcoin, Ether, Solana, bonds, equities, and precious metals, describing a…

KryptoOpsjonerVolatilitetPrising av derivater
Amberdata research

The article proposes a Chinese equity screen combining amplitude above one, a ranking by net large-order volume, and at least two limit-up events within a 500-day window. It presents volatility as a source of short-term trading opportunities, large-order…

AksjerKinesiske markederMomentumTekniske indikatorer
Amberdata research

This article proposes combining two options data sources to investigate large-trader activity. Block-volume data summarizes large options trades by instrument, exchange, and underlying asset; decorated-trade data adds trade timing and level-one order-book…

OpsjonerKryptoMarkedsmikrostrukturVolatilitet
Amberdata research

The article outlines a framework for assessing crypto projects before investment. It recommends reviewing a protocol’s technical documentation, team experience, development roadmap, and progress against milestones. It also calls for analysis of token supply…

KryptoOn-chain-dataRisikostyring
Amberdata research

This report surveys crypto spot and derivatives activity amid exchange security incidents, regulatory changes, and macroeconomic volatility in early 2025. It discusses exchange trading volumes, futures and perpetual contract activity, funding rates,…

KryptoFuturesEvigvarende futuresSpotmarkeder
Amberdata research

This market commentary links the week’s U.S. data calendar to expected crypto volatility, focusing on the Federal Reserve Beige Book, PCE inflation, and a scheduled FOMC meeting. It argues that PCE is the most likely near-term volatility catalyst, while the…

KryptoOpsjonerVolatilitetHendelsesdrevet handel
Amberdata research

The code implements a heat-potential method for choosing profit-taking and stop-loss boundaries for a profit-and-loss process modeled as Ornstein–Uhlenbeck mean reversion. Given the model parameters, a time-step density, and a maximum holding duration, it…

Tilbakevending mot gjennomsnittetStatistikkRisikostyringPosisjonsstørrelse
Amberdata research

This market snapshot interprets a sharp crypto selloff using spot prices and volume alongside derivatives positioning, exchange traded fund flows, stablecoin supply, order book depth, and spreads. It frames falling open interest and negative funding as…

KryptoPrising av derivaterEvigvarende futuresVolatilitet
Amberdata research

The article describes real yield as a DeFi liquidity incentive that distributes protocol revenue to token holders or stakers. It contrasts revenue-based payouts with rewards funded by issuing new tokens, which can dilute holders. The model is compared with…

DeFiKryptoOn-chain-dataRisikostyring
Amberdata research

The indicator presents volume relative to its average over a selected period, expressing the deviation as a percentage. This makes below-average activity visible as negative readings and above-average activity visible as positive readings. The displayed…

Tekniske indikatorerStatistikk
Amberdata research

The newsletter argues that Solana options may offer relatively attractive upside volatility compared with Ethereum. It compares their recent implied pricing with historical realized volatility, including the relative level of 30-day realized volatility and…

KryptoOpsjonerVolatilitetPrising av derivater
Amberdata research

This market outlook argues for bullish crypto exposure alongside short volatility, based on the author’s view that risk appetite may improve, recent volatility has eased, and Bitcoin options term structure may return to steeper contango. It notes that spot…

KryptoOpsjonerVolatilitetPrising av derivater
Amberdata research

This podcast recap links a rebound in crypto option activity during Bitcoin’s rally to optimism about possible ETF approval. It also describes large Ethereum overwrite positions, changes to Deribit margin requirements intended to address their risk, and…

KryptoOpsjonerVolatilitetRisikostyring
Amberdata research

This market commentary examines Bitcoin options pricing ahead of a US spot ETF decision, alongside Federal Reserve expectations and upcoming inflation data. It describes a term structure with elevated implied volatility relative to realized volatility and…

KryptoOpsjonerVolatilitetHendelsesdrevet handel
Amberdata research

The document explains liquid restaking as a pooled way to commit ETH or liquid staking tokens to additional services while receiving a liquid restaking token representing the underlying assets and rewards. It outlines the roles of depositors, protocol…

KryptoDeFiOn-chain-dataRisikostyring
Amberdata research

This interview discusses the infrastructure needs of institutions and developers managing digital-asset private keys. The guest describes how programmatic products require support for multiple users, permissions, security controls, and high transaction…

KryptoDeFiRisikostyringOrdreutførelse
Amberdata research

This report reviews major cryptocurrency thefts in 2025, comparing centralized exchange, decentralized finance, and decentralized exchange incidents. It attributes the largest loss to the Bybit attack and describes private key compromise as a recurring…

KryptoDeFiOn-chain-dataRisikostyring
Amberdata research

This market snapshot reviews digital asset activity around Thailand’s approval of its first spot Bitcoin ETF, which is restricted to institutional investors. It describes centralized exchange spot volumes settling after a March surge associated with…

KryptoSpotmarkederDeFiOn-chain-data