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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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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 asks how quantitative strategies can compare derivatives with different expiries, prices, and volatility characteristics, using commodity futures as an example. It highlights a limitation of applying a single-price time-series method, such as a…

Nākotnes līgumiIzejvielasAtvasināto instrumentu cenu noteikšanaTehniskie indikatori
Quant Q&A

The document distinguishes adapted and predictable processes using a Brownian motion and its natural filtration. It compares the Brownian path itself, a version delayed by one time unit, and a version shifted forward by one time unit. The first is adapted;…

Statistika
Quant Q&A

The document surveys strategies in which receiving market data or reaching an exchange sooner may affect execution. It describes latency arbitrage as a contest over speed, with examples including arbitrage across fragmented equity venues, triangular…

Augstas frekvences tirdzniecībaArbitrāžaTirgus veidošanaRīkojumu izpilde
Quant Q&A

The document works through a hedge for a company planning to issue 180-day commercial paper. Because the company benefits from higher short-term rates when issuing the paper, it can short Eurodollar futures; the example scales the position by comparing the…

Nākotnes līgumiFiksēta ienākuma instrumentiRiska pārvaldībaPozīcijas apjoma noteikšana
Quant Q&A

The document explains why a less liquid corporate bond will often have a wider bid–ask spread than a comparable, easier-to-source bond. Investors may require compensation for the risk of holding an asset that could be difficult to sell, while the bond’s…

Fiksēta ienākuma instrumentiTirgus mikrostruktūra
Quant Q&A

The document considers a European payoff equal to the difference between the highest and lowest observed stock prices over a discrete period. Under its stated multi-step binomial model, the stock is assumed to be a martingale and the risk-free bond has…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document offers a qualitative guide to who commonly trades interest rate swaps and related US Treasury instruments at different points on the curve. It associates short-dated swaps with macro traders, hedge funds, corporates hedging loans, and banks…

Fiksēta ienākuma instrumentiTirgus mikrostruktūraASV tirgi
Quant Q&A

The document asks how to describe the distribution of the highest price reached by a cash-or-nothing digital call before expiration. It assumes the underlying follows geometric Brownian motion with constant volatility and uses the Black-style probability…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistikaSvārstīgums
Quant Q&A

The document outlines a progression of methods for testing strategies that depend on timely execution, especially passive orders and cross-market hedging. For liquidity-taking strategies, top-of-book data may support conservative size assumptions that can…

Tirgus mikrostruktūraRīkojumu izpildeVēsturisko datu pārbaudeAugstas frekvences tirdzniecība
Quant Q&A

The document examines why annualized volatility estimated from weekly or other lower-frequency returns can exceed an estimate from daily returns. The square-root-of-time scaling rule relies on returns being identically distributed and independent; serial…

SvārstīgumsStatistikaPortfeļa veidošanaVairāku aktīvu tirdzniecība
Quant Q&A

A zero-mean GARCH model treats returns as conditionally centered at zero and estimates conditional variance from squared returns and past variance. If this assumption is used, the model can forecast volatility directly from the observed squared returns. When…

SvārstīgumsStatistika
Quant Q&A

For European options with the same strike and expiry, put–call parity links their prices to the discounted forward price and implies consistent implied volatility when prices and market inputs are aligned. The discussion addresses why observed implied…

OpcijasAtvasināto instrumentu cenu noteikšanaArbitrāža
Quant Q&A

The document considers how to generate many Brownian bridge paths for multiple underlying assets in a Monte Carlo setting. The original routine advances through time steps and simulates one path at a time, which becomes slow when the number of simulations…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistikaRīkojumu izpilde
Quant Q&A

The document asks how to choose stop-loss and take-profit thresholds from trade outcomes and expected profit estimates. It points to operations research and stochastic processes, and presents differing views: one answer argues that thresholds may be…

Vēsturisko datu pārbaudeRiska pārvaldībaStatistikaMašīnmācīšanās
Quant Q&A

A baker who will need wheat later can hedge the uncertain purchase price by going long futures contracts that mature when the wheat is needed. The document explains the cash flows at maturity: the futures gain is the spot price at maturity minus the initial…

Nākotnes līgumiIzejvielasRiska pārvaldība
Quant Q&A

The document presents a proposed backward-time finite-difference scheme for solving the Black–Scholes partial differential equation. Starting from the option payoff at expiration, it uses a Taylor approximation to step the value backward in time. It…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The note answers whether principal-only mortgage bond prices or yields rise when interest rates fall. Its conclusion is that prices rise, with two mechanisms contributing. First, the usual bond price relationship applies: lower market rates increase the…

Fiksēta ienākuma instrumenti
Quant Q&A

The note explains daily variation margin by contrasting futures with assets such as stocks and options. When an investor buys a stock or an option, cash changes hands at the initial transaction; later price moves alter the account’s marked value. The…

Nākotnes līgumiOpcijasTirgus mikrostruktūra
Quant Q&A

The note explains why an American put’s value can exceed the amount available from exercising it immediately. The payoff is a lower bound: the holder can exercise and receive that amount, or keep the option alive. The right to choose later has value because…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to split a European option’s net present value into intrinsic value and time value when pricing with QuantLib-Python’s Black–Scholes example. It explains that intrinsic value can be obtained by applying the option’s payoff function to…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document distinguishes an option’s expected payoff from the effect of volatility on that payoff. Under risk-neutral pricing, an option value is the discounted expected payoff, so a larger expected payoff corresponds to a higher value. But raising…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to estimate wrong-way risk for an exotic option priced by Monte Carlo under the Heston stochastic volatility model. It describes a proposed framework in which market risk factors and credit risk factors are simulated jointly. Dependence…

OpcijasSvārstīgumsRiska pārvaldībaAtvasināto instrumentu cenu noteikšana
Quant Q&A

A Brownian motion is characterized by the distributions of its increments under a particular probability measure. The document explains that the same underlying sample space and paths can be assigned different probabilities, changing the distributions of…

Statistika
Quant Q&A

The document explains how Libor fixings work when an interest rate swap pays every six months but references a three month Libor rate. Libor is typically set in advance, shortly before the start of each accrual period, and paid in arrears. In the example,…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība