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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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

Meklēt bibliotēkā

Dokumentu skaits: 20,364

Quant Q&A

The document explains why the time decay of a European call differs by time to maturity and moneyness in the Black–Scholes model. With substantial time remaining, the passage of a day generally changes exercise likelihood only modestly, so theta is…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document asks whether a trader can sell an instrument other than an option to collect premium and fund a long equity call, while avoiding options tied to the same or a correlated underlying. The answer explains that options generally provide time…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document asks why the instantaneous volatility of a simply compounded forward rate is defined through the quadratic variation of its logarithm rather than the rate itself. The response interprets this as percentage volatility: changes in the log of a…

Fiksēta ienākuma instrumentiSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document introduces the information available in a visible order book: current prices, displayed quantities, and the structure of supply and demand. Its question asks how that information could support arbitrage or manipulation, but the accepted answer…

Tirgus mikrostruktūraRīkojumu izpildeArbitrāžaTirgus veidošana
Quant Q&A

The document explains how to distinguish a DV01 hedge ratio from a ratio based on quoted price ticks for Bobl and Euribor futures. DV01 measures the cash change in a contract’s value for a one-basis-point rate move, so dividing the contracts’ DV01s gives a…

Nākotnes līgumiFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document discusses what mathematical preparation high-frequency trading may require. One answer emphasizes applied tools such as linear algebra, statistics, time-series analysis, optimization, and sometimes machine learning, while noting that practical…

Augstas frekvences tirdzniecībaStatistikaMašīnmācīšanāsTirgus mikrostruktūra
Quant Q&A

The document explains why a fixed-maturity zero-coupon bond is not locally risk-free even when its promised cash flow is known. In a one-factor short-rate model, the money account earns the prevailing short rate through continuous rollover, while a term…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaStatistika
Quant Q&A

The document describes how to construct the Fama–French short-term and long-term reversal factors from six value-weighted portfolios. For each factor, stocks are sorted monthly into two size groups using the NYSE median market equity breakpoint and three…

AkcijasFaktoru ieguldīšanaAtgriešanās pie vidējās vērtībasPortfeļa veidošana
Quant Q&A

The document explains how to build a simplified exchange execution simulator for backtesting. It recommends using historical order book snapshots or updates to estimate fills: a market order consumes available depth until its requested quantity is filled,…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaudeAkcijas
Quant Q&A

The document asks how to estimate monthly stock volatility when only about a month of daily closing prices is available. Its answer uses the standard square-root-of-time scaling under an assumption that daily log returns are independent and identically…

AkcijasStatistikaRiska pārvaldība
Quant Q&A

The document asks whether VWAP and TWAP can be combined into a more general benchmark, suggesting an exponentially decayed volume-weighted price as one possible construction. The answer reframes the problem: TWAP can be viewed as VWAP after changing the time…

Rīkojumu izpildeTirgus mikrostruktūraStatistika
Quant Q&A

The accepted answer explains “flow” interest rate trading as trading in standardized, liquid products that are relatively easy to value and trade frequently. Examples span sovereign and corporate bonds, overnight index swaps, interest rate swaps, caps,…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
Quant Q&A

The document asks how implied correlation is calculated for collateralized debt obligation tranches under a Gaussian copula framework. It proposes first calibrating a common default probability across the portfolio, then fitting a correlation parameter to…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The answer explains how a delayed swap payment should be handled when a payment date shifts because of the calendar. If the final floating accrual period is extended by two days, the floating rate and interest payment should reflect the added accrual under…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaTirgus mikrostruktūra
Quant Q&A

The response proposes using programming and financial data skills to study market risk through equity index options. It describes an approach associated with Ian Martin: use prices from a small portfolio of European options on the S&P 500 to infer the…

OpcijasAkcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document considers whether central bank intervention makes an inverted yield curve a weaker or stronger recession signal. The questioner reasons that keeping short-term rates low should make inversion harder to achieve, so an inversion might be more…

Fiksēta ienākuma instrumentiASV tirgiStatistika
Quant Q&A

The document asks how to compute the hindsight-optimal sequence of holdings across a universe of stocks when an investor can trade daily, compounds returns, pays transaction fees, and cannot short. It considers dynamic programming and presents an attempted…

Vēsturisko datu pārbaudePortfeļa veidošanaPozīcijas apjoma noteikšanaStatistika
Quant Q&A

The document raises a corporate finance question about how to include a new debt issue in the weighted average cost of capital when a company already has debt and equity. It gives an example with two debt tranches carrying different pre-tax borrowing costs,…

Fiksēta ienākuma instrumentiPortfeļa veidošana
Quant Q&A

The document describes a strategy using 30-second bars on E-mini S&P 500 futures that performed well in backtests and walk-forward tests but lost in live simulation because small execution-price differences erased its edge. The question asks whether…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaude
Quant Q&A

The document explains why a positive Sharpe ratio calculated from arithmetic returns does not guarantee that compounded wealth will rise. In the example, the average daily return is positive, yet multiplying the daily growth factors produces a loss over the…

StatistikaRiska pārvaldība
Quant Q&A

The document discusses how to reproduce Excel's bond YIELD calculation with QuantLib. QuantLib's bond yield method takes a target price, day-count convention, compounding convention, and coupon frequency, while settlement, maturity, coupon schedule,…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistikaVēsturisko datu pārbaude
Quant Q&A

The document poses an identity for three equivalent probability measures and a sub-sigma-algebra: the density of one measure relative to another, restricted to the smaller information set, factors through a third measure. This kind of relationship is useful…

StatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why the Heston pricing framework includes a market price of volatility risk and how it relates to Monte Carlo simulation. The stock and variance processes have two Brownian drivers but only one traded risky asset, so the no-arbitrage…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains the practical limits of timestamp precision in stock market data, distinguishing timestamp resolution from the frequency of actual trades and quote updates. Nanosecond timestamps are used by specialized data providers and can help order…

AkcijasAugstas frekvences tirdzniecībaTirgus mikrostruktūraVēsturisko datu pārbaude