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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
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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 how a delta-hedging argument leads to the Black–Scholes partial differential equation. A portfolio holds one derivative and shorts an amount of stock equal to the derivative’s sensitivity to the stock price. Applying Itô’s formula…

Atvasināto instrumentu cenu noteikšanaOpcijasRiska pārvaldība
Quant Q&A

The document examines a Black–Scholes claim paying the squared terminal stock price times its logarithm. It compares three valuation approaches: risk-neutral expectation using a lognormal moment, changing to the stock as numeraire, and attempting to use the…

Atvasināto instrumentu cenu noteikšanaOpcijasStatistika
Quant Q&A

The document collects recommendations for learning C++ with quantitative finance applications in mind, particularly for a Python developer who wants to build pricing libraries. One reply suggests choosing a book suited to the learner’s current level: an…

Atvasināto instrumentu cenu noteikšanaMašīnmācīšanāsStatistika
Quant Q&A

The document explains the currency exposures involved in delta hedging a USDJPY option. In the example, a bank has sold a dollar put and calculates a short dollar hedge from the option’s delta. That hedge is paired with a long yen position at the prevailing…

Valūtu tirgusOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document discusses whether quarterly institutional holdings disclosures can inform trading strategies. Replies say that investors and researchers do use Form 13F information, including strategies that follow reported holdings of prominent funds. One…

AkcijasASV tirgiTirgus noskaņojumsUz notikumiem balstīta tirdzniecība
Quant Q&A

The document explains how to interpret a Carhart four-factor regression when evaluating a portfolio or trading strategy. Rather than treating a coefficient as a direct comparison between individual small and large companies, it frames the factor coefficients…

Faktoru ieguldīšanaStatistikaAkcijas
Quant Q&A

The document compares practical considerations for stochastic-volatility and GARCH option models, emphasizing that model choice depends on the option type and the goal. It argues that GARCH can be attractive because its next-step conditional volatility is…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document surveys practical considerations for options with expiries ranging from hours to minutes. It cautions that very short-horizon returns should not be assumed to follow a lognormal process simply because the horizon is short. Instead, intraday…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document discusses what can make market prices temporarily differ from fundamental value, in the context of market resiliency. It identifies several microstructure mechanisms: asymmetric information, market makers’ inventory risk, trading costs, and…

Tirgus mikrostruktūraStatistika
Quant Q&A

The document explains how a forward exchange rate above the level implied by spot and the two currency interest rates creates a covered interest arbitrage. The proposed trade borrows the foreign currency, exchanges it for the home currency at spot, invests…

Valūtu tirgusArbitrāža
Quant Q&A

The document examines a foreign-exchange spot quoted as dollars per euro and compares expectations under dollar and euro risk-neutral measures. The question derives discounted-price expectation identities using each currency's bank-account numeraire, then…

Valūtu tirgusAtvasināto instrumentu cenu noteikšanaStatistikaFiksēta ienākuma instrumenti
Quant Q&A

The document considers whether a panel model with industry fixed effects is suitable for estimating the Fama-French five-factor alphas of many industry portfolios. The factors can be common across industries and vary over time; constructing separate factor…

AkcijasFaktoru ieguldīšanaStatistika
Quant Q&A

The document explains why standard Black-style approximations for cash-settled swaptions imply payer-receiver parity around the forward swap rate. Under that approximation, a zero-wide collar—the difference between payer and receiver swaptions at the same…

OpcijasFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
Quant Q&A

The document distinguishes the risk that a borrower or issuer will fail to repay from the risk that a trading counterparty will fail to meet its contractual obligations. A bondholder, for example, faces the issuer’s credit risk; a buyer of credit protection…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

Without a risk-free asset, investors cannot draw the usual capital allocation line from that asset or identify an optimal risky portfolio as its tangency with the efficient frontier. The document points to Black’s zero-beta CAPM as a framework for this…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The discussion cautions against assuming that VIX futures will reliably offset losses in a long-only equity portfolio. VIX measures expected volatility, and it does not invariably rise when stocks fall; consequently, an inverse relationship with stock…

AkcijasNākotnes līgumiSvārstīgumsRiska pārvaldība
Quant Q&A

The note clarifies that Diebold–Li is a way to estimate a Nelson–Siegel yield curve, rather than a separate curve model with its own distinct estimation procedure. The key modeling choice is to fix the Nelson–Siegel shape parameter; with that parameter held…

Fiksēta ienākuma instrumentiStatistika
Quant Q&A

The note explains how to interpret the instantaneous forward variance quantity in a model of volatility smiles. It distinguishes that quantity from a forward-starting variance swap, whose fair strike is constructed from the variances of two maturities. The…

SvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

This discussion asks how to use volatility from an implied-volatility surface in Reiner-Rubinstein formulas for an up-and-out call, expressed as a vanilla call minus an up-and-in call. The vanilla component may reference the strike while another component…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsRiska pārvaldība
Quant Q&A

This example compares delta-gamma and delta-vega hedging for a short call using another call and shares. It gives Black-Scholes Greeks for an in-the-money call and an at-the-money call, then solves for the option quantity that offsets gamma or vega and the…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsRiska pārvaldība
Quant Q&A

This discussion examines how to compare a cash basket of S&P 500 constituents with an E-mini futures contract when assessing index arbitrage. It asks whether to aggregate constituent bid and ask quotes separately and discount those totals, or use mid prices…

AkcijasNākotnes līgumiArbitrāžaTirgus mikrostruktūra
Quant Q&A

This discussion frames Funding Valuation Adjustment (FVA) through an uncollateralized FX forward with a client, hedged by a bank under a Credit Support Annex. It asks what an FVA calculated from the trade’s expected exposure profile represents, given that…

Valūtu tirgusAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document explains why an unusually high buy limit does not automatically cause a trade at that price. A marketable buy order generally matches against available sell orders at their existing limit prices, so a small order can execute at the best…

AkcijasRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība