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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 explains how to estimate one-day Value at Risk for a single-asset portfolio when its delta, the asset value, and daily volatility are given. It interprets delta as the portfolio’s sensitivity to a small percentage move in the underlying, then…

Riska pārvaldībaPozīcijas apjoma noteikšanaStatistika
Quant Q&A

The document sketches why a market with stochastic volatility may be incomplete when volatility risk is driven by an independent source of randomness that cannot be traded directly. In a one-stock setting, changing the risk premium associated with the…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document investigates a Python QuantLib TypeError raised while constructing Heston model calibration helpers for options. The replies point to mismatched input types or values as the likely cause and identify code issues to check, including an…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks why a process formed by keeping Brownian motion unchanged up to a stopping time and reflecting its later path around its value at that time is itself standard Brownian motion. The response uses the strong Markov property: after a finite…

Statistika
Quant Q&A

The document proposes choosing a retail time-deposit term by calculating the net present value of deposits with different maturities and converting each value into an equivalent constant annual payment over its term. It selects the term with the highest…

Fiksēta ienākuma instrumentiStatistikaVēsturisko datu pārbaude
Quant Q&A

The document discusses estimating the liquidity parameters in the Avellaneda–Stoikov market-making model from historical limit-order data. The model describes fill intensity at a quote distance from fair value using a baseline intensity A and a distance…

Tirgus veidošanaAugstas frekvences tirdzniecībaTirgus mikrostruktūraStatistika
Quant Q&A

The response distinguishes two interpretations of a share purchase plan in which the bank can terminate during the purchase period. If the customer’s price is the average only through the termination date, the answer argues that termination does not create…

AkcijasOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains why a Black–Scholes option price is not the discounted expected payoff under real-world probabilities. That calculation uses the stock’s physical drift, which reflects expected returns, but ignores how traded assets and hedging…

OpcijasAtvasināto instrumentu cenu noteikšanaArbitrāžaStatistika
Quant Q&A

Corporate bond yields combine a Treasury-related risk-free component with a credit and liquidity spread. The relative size of these components helps explain why investment-grade bonds tend to move more closely with comparable-maturity Treasury yields, while…

Fiksēta ienākuma instrumentiASV tirgiStatistikaRiska pārvaldība
Quant Q&A

The document asks what drives the price of a bond futures calendar spread when both contracts share the same deliverable basket and cheapest-to-deliver bond. The accepted answer identifies the forward repo rate implied by term repo rates extending to each…

Nākotnes līgumiFiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks where to obtain inexpensive historical tick data for a futures contract, using NYMEX WTI crude as an example. Its answer explains that data price often reflects whether the feed preserves all reported activity or filters some events. A…

Nākotnes līgumiIzejvielasTirgus mikrostruktūraRīkojumu izpilde
Quant Q&A

The document asks how an expected shock to one asset should affect the weights of other holdings, and whether portfolio substitutability can explain those changes. It proposes that assets with more similar characteristics might receive more of the…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The document asks why a leverage or volatility-scaling factor changes the turnover ratio of a momentum portfolio, citing the approach associated with Barroso and Santa-Clara. It distinguishes the intuitive idea of multiplying portfolio exposures by a scale…

Cenas impulssPortfeļa veidošanaRīkojumu izpilde
Quant Q&A

The document addresses how to account for upcoming corporate actions when implementing a long-short equity statistical arbitrage strategy using a Bloomberg data license. The strategy holds positions across many stocks, and the author asks how to find events…

AkcijasUz notikumiem balstīta tirdzniecībaPortfeļa veidošana
Quant Q&A

The document clarifies how SVI parameterizations describe implied volatility data. Raw and natural SVI parameterizations represent total implied variance across strikes for a single expiry, while SVI-Jump-Wings represents implied variance for a single…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains why binary option quotes that appear inconsistent with a simple Black–Scholes volatility range may still be reasonable. It gives the digital call price in terms of the forward price, strike, time to expiry, rates, and volatility, then…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaASV tirgi
Quant Q&A

The document describes a bond discount-curve fitting error in QuantLib. The questioner supplies bond maturities and coupon rates alongside market prices, then constructs fixed-rate bond helpers for a Nelson–Siegel fitted discount curve. The reported…

Fiksēta ienākuma instrumentiVēsturisko datu pārbaudeStatistika
Quant Q&A

The document examines a terminal payoff formed by taking the positive part of the stock’s gain over its current price, subtracting a fixed notional, and capping the result at zero. It asks how to price this payoff under risk-neutral valuation, while noting…

OpcijasAtvasināto instrumentu cenu noteikšanaAkcijas
Quant Q&A

The document asks why reported short-sale volume from venues such as NYSE, Nasdaq, and BATS can appear much larger than published short interest. It raises questions about differences in venue coverage and whether transactions connected to securities…

AkcijasTirgus mikrostruktūraASV tirgiStatistika
Quant Q&A

The document considers whether large traders can manipulate e-mini futures and whether that possibility makes systematic trading impractical. Its answers distinguish ordinary market impact from deliberate manipulation: large buy orders can push prices up,…

Nākotnes līgumiTirgus mikrostruktūraRīkojumu izpildeOpcijas
Quant Q&A

The document explains why futures are commonly quoted by their settlement or delivery price rather than by the contract’s present value. It places this convention alongside other market practices, such as quoting bonds by yield and options by implied…

Nākotnes līgumiIzejvielasAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
Quant Q&A

The document considers how to adjust a fitted vanilla-option implied volatility surface to represent a lower-volatility market or an abrupt volatility shock. It cautions that blindly adding a constant to implied volatility or multiplying it by a scale factor…

OpcijasSvārstīgumsArbitrāžaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains how investment banks’ charges for derivatives relate to market competition and the transparency of pricing. It frames the added cost as a wider bid–ask spread rather than necessarily as a separate fee on top of a theoretical…

Atvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra