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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
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 response explains how to handle a gap call, whose strike determining exercise differs from the strike used to calculate the payoff. It rewrites the payoff as the underlying asset paid only when the exercise threshold is crossed, less a fixed amount paid…

OpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks whether stock prices, log returns, and cumulative returns have probability density functions, cumulative distribution functions, or both, and when each representation is useful. The included answer explains that a cumulative distribution…

StatistikaAkcijasFiksēta ienākuma instrumenti
Quant Q&A

The document raises a time-series interpretation problem: a Hurst exponent above 0.5 is understood by the questioner as evidence of persistence, while a variance ratio test appears to indicate mean reversion. It asks which result to trust and why the two…

StatistikaAtgriešanās pie vidējās vērtības
Quant Q&A

The document describes a student fund’s effort to improve how it represents a domestic government bond index held through fixed-income ETFs. Its current approach treats the index as one bond, discounts projected cash flows, and feeds that estimated value…

Fiksēta ienākuma instrumentiPortfeļa veidošana
Quant Q&A

The note derives an unconditional-expectation form of expected shortfall from its definition as the negative conditional mean of returns in the loss tail. It uses the indicator of the event that a return falls below the VaR threshold, then applies the…

Riska pārvaldībaStatistikaVēsturisko datu pārbaude
Quant Q&A

The document raises a methodological question about applying principal component analysis to financial asset series. It compares using price levels with using returns, and asks whether the selected series should be standardized before calculating covariance.…

StatistikaAkcijasPortfeļa veidošana
Quant Q&A

The document explains the basic valuation framework for residential and commercial mortgage-backed securities: estimate the security’s cash flows and discount them to calculate present value. The central difficulty is forecasting those cash flows, especially…

Fiksēta ienākuma instrumentiOpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document addresses Monte Carlo valuation of a call option on a zero-coupon bond under the Vasicek short-rate model. It first challenges the question’s stated closed-form benchmark, deriving a bond-option price using the Vasicek bond pricing function and…

Fiksēta ienākuma instrumentiOpcijasAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaude
Quant Q&A

The document distinguishes what HJM and commonly used Markovian short-rate models say about interest-rate curves. HJM specifies the current forward curve and models its evolution across maturities. A short-rate model specifies the evolution of the…

Fiksēta ienākuma instrumentiStatistika
Quant Q&A

The document addresses the misconception that volatility is bounded by the largest possible percentage decline in a stock price. In the Black–Scholes framework, volatility scales the standard deviation of the asset’s log return over the option’s life. That…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why expected value differs for holding an underlying asset and holding a call option. An underlying position is exposed to the asset’s full range of possible prices, so its expected price weights every outcome by its probability. A…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document compares two ways to scale daily trading profit and loss: dividing by the previous day’s gross portfolio value or by the account’s initial equity. These choices describe different things. The prior-day value expresses each day’s gain relative to…

Vēsturisko datu pārbaudeStatistikaPortfeļa veidošana
Quant Q&A

The document asks why a Black–Scholes option price differs from an expected option payoff calculated from a spreadsheet model. One response identifies a key model mismatch: Black–Scholes assumes lognormal stock prices, while the spreadsheet uses normally…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document considers the one-year forward value of an equity that pays a known dividend after six months, with different interest rates for the six-month and one-year terms. Under deterministic rates and risk-neutral valuation, the answer carries the…

AkcijasAtvasināto instrumentu cenu noteikšanaFiksēta ienākuma instrumenti
Quant Q&A

The document discusses why borrowers and investors choose debt or equity to finance an investment. It emphasizes the available collateral, cash flow, uncertainty, and potential upside. A young company with little collateral and negative cash flow may…

AkcijasFiksēta ienākuma instrumentiRiska pārvaldība
Quant Q&A

The document asks whether a proposed optimal holding for a CARA investor with normally distributed risky-asset payoffs is correct. Its setup compares expected payoff net of the risk-free investment cost with payoff variance, and suggests scaling expected…

Portfeļa veidošanaPozīcijas apjoma noteikšanaStatistikaRiska pārvaldība
Quant Q&A

The answer recommends calibrating interconnected interest-rate curves with a global solver instead of bootstrapping each curve in sequence. The workflow defines curves and calibration instruments, assigns each instrument its forecasting and discounting…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistikaVairāku aktīvu tirdzniecība
Quant Q&A

The discussion points to two practical approaches for hedging volatility swaps. For forward-starting swaps, it cites a method that uses straddles at a particular strike, with hedge notional linked to the volatility skew at that strike. For…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The discussion distinguishes forecasting the aggregate equity premium for the next month from ranking individual stocks by expected return. It points to characteristic-based cross-sectional models, using rolling Fama–MacBeth slopes and multiple firm…

AkcijasFaktoru ieguldīšanaStatistika
Quant Q&A

The document considers valuing a European call when its underlying asset cannot be traded, so the continuous-trading replication assumptions behind Black–Scholes are unavailable. Suggested inputs and approaches include estimating the underlying’s value from…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The document asks how factor exposures differ from the factor returns themselves in the Fama–French three-factor model. It contrasts a Fama–MacBeth second-stage regression using estimated asset betas with a proposed regression using the factor series…

Faktoru ieguldīšanaStatistika
Quant Q&A

The document contrasts implied volatility from near-expiry, at-the-money S&P 500 options with the VIX. The response characterizes VIX as a discrete approximation to the square root of a theoretical fair variance swap strike, with its calculation window set…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaASV tirgi
Quant Q&A

The document discusses where to obtain constant maturity swap (CMS) swap prices for comparing theoretical valuations with market quotes. One response points to swap-rate ticker conventions for different maturities, while another suggests looking for spread…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaSvārstīgumsTirgus mikrostruktūra