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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 that option Greeks are sensitivities of the Black–Scholes–Merton price to model inputs. It defines delta, gamma, rho, vega, theta, and sensitivity to the dividend rate as partial derivatives, then works through the call delta…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document discusses how to identify common risk factors in private markets when asset prices are infrequently observed or unavailable. One suggested route is to describe companies using observable characteristics such as industry, business relationships,…

Fiksēta ienākuma instrumentiStatistikaRiska pārvaldībaPortfeļa veidošana
Quant Q&A

Put–call parity links prices of European calls and puts with the same strike to the value of a forward contract. With the risk-free rate and time to expiry known, the parity relationship gives the forward price and can be rearranged to infer the asset’s…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to choose a probability measure when pricing derivatives with Monte Carlo simulation. It starts from risk-neutral valuation, where price is the discounted expected payoff, and notes that simulations may require modeling state variables…

Atvasināto instrumentu cenu noteikšanaFiksēta ienākuma instrumentiStatistikaVēsturisko datu pārbaude
Quant Q&A

The document poses an inverse pricing problem: fitting a Black–Scholes model to binary option prices observed across strike prices when the time to maturity, volatility, risk-free rate, and underlying price are all unknown. The stated goal is to predict…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains why a single expiration payoff diagram may not fully describe a portfolio containing short American-style options or options with different maturities. A short American option can be exercised by its holder before expiration, so the…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document presents a derivation of the CAPM by treating the market portfolio as a portfolio on the capital allocation line that maximizes the Sharpe ratio. Under the assumption that investors choose mean–variance efficient portfolios, individual holdings…

StatistikaPortfeļa veidošanaRiska pārvaldība
Quant Q&A

The document distinguishes the Samuelson effect’s maturity-related volatility pattern from volatility measured directly on futures price levels. The effect concerns returns volatility: nearby commodity contracts are often more volatile than deferred…

IzejvielasNākotnes līgumiSvārstīgumsStatistika
Quant Q&A

The document explains how to obtain the Radon–Nikodym derivative when changing from a probability measure associated with numeraire M to one associated with numeraire N. The derivation uses the martingale property of asset prices expressed in units of the…

Atvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

This note addresses the European call formula for a dividend-paying stock and whether an expected stock growth rate should replace dividend yield. It explains that the dividend-adjusted Black–Scholes formulation and a cost-of-carry formulation are equivalent…

OpcijasAkcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

This note explains why a plain floating-rate bond can have interest-rate duration close to the time until its next coupon reset. Under a single-curve assumption, future coupons are projected from forward rates and discounted using the same curve.…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The note discusses how options traders describe exposure to changes in implied volatility skew and volatility convexity. Skew refers to differences in implied volatility across strikes, such as between out-of-the-money puts and calls. Traders may…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

This note clarifies how to set up valuation equations for an asset whose dividends follow a Markov process. Its central distinction is between cum-dividend value, which includes a payment made today, and ex-dividend price, which excludes it. The investor’s…

Vairāku aktīvu tirdzniecībaStatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains how to generate multivariate Gaussian returns with a target covariance structure. Starting with a vector of independent standard normal draws, apply a matrix square root of the desired covariance matrix. A Cholesky factor is one such…

StatistikaPortfeļa veidošanaVēsturisko datu pārbaude
Quant Q&A

The discussion describes how to think about risk in a single-currency swap exchanging floating payments based on different tenors, such as six-month and three-month rates. It separates sensitivity to changes in the tenor basis from outright rate delta. A…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The discussion asks whether traders can profit from the tendency of equity markets to fall quickly and recover more gradually. It explains that this asymmetry is reflected in option prices: downside puts often carry a premium relative to comparable calls. A…

OpcijasAkcijasSvārstīgumsRiska pārvaldība
Quant Q&A

The discussion examines why a zero-fee Euro Stoxx 50 ETF appeared to outperform its benchmark. It identifies securities lending as a possible source of revenue, since an index itself holds no assets to lend. Holding an index portfolio can therefore add…

AkcijasTirgus mikrostruktūraArbitrāžaRiska pārvaldība
Quant Q&A

The document explores representing Brazilian DI1 interest rate futures with rateslib for curve calibration and sensitivity analysis. It proposes a zero-coupon swap representation and distinguishes the futures’ annualized compounded internal rate of return…

Nākotnes līgumiFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document examines a proposed monthly regression of year-over-year stock index returns on lagged returns and macroeconomic variables, including credit spreads, inflation, and industrial production. It describes a forecasting setup that uses ARIMA…

AkcijasStatistikaVēsturisko datu pārbaude
Quant Q&A

The document explains why quasi-Monte Carlo methods use low-discrepancy sequences: these points fill a space more evenly than random samples, reducing large gaps. It defines discrepancy as a measure of how closely the fraction of points in a region matches…

StatistikaVēsturisko datu pārbaudeAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why hedging a mortgage-backed security with a swap is complicated when the underlying mortgages can be prepaid. Because prepayments depend in part on future interest rates, the security’s outstanding principal and the matching swap…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document addresses why a stock’s cumulative return can fall below the risk-free return, even when investors expect equities to earn a premium over time. Its explanation is that risky assets can have poor outcomes over particular periods. The equity…

AkcijasStatistikaRiska pārvaldība
Quant Q&A

The question seeks a long historical daily closing-price series for the individual companies that made up the Dow Jones Industrial Average, rather than a series for the index itself. The response points to a dataset of intraday one-minute bars covering the…

AkcijasASV tirgiVēsturisko datu pārbaude