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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 addresses the reverse of the familiar covered interest arbitrage example in which a forward exchange rate is too high. Its GBP/USD illustration explains that when the quoted forward is below the rate implied by covered interest parity, an…

Valūtu tirgusArbitrāžaPārneseRiska pārvaldība
Quant Q&A

The document explains the distinction between extreme price changes and jumps in a stochastic price path. A lognormal distribution can assign low probability to very large price changes over a time interval, but that does not mean the model’s path jumps…

StatistikaSvārstīgums
Quant Q&A

The document explains how to describe and assess a roll between Treasury futures delivery months. The quoted market roll is the front contract price minus the back contract price, expressed in thirty-seconds. A theoretical comparison starts with the fair…

Nākotnes līgumiFiksēta ienākuma instrumentiPārneseAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document examines why a single simulated geometric Brownian motion path with zero drift can produce a maximum likelihood drift estimate far from zero. It defines log returns and gives the likelihood setup used to estimate drift and volatility, then…

StatistikaAkcijasSvārstīgumsVēsturisko datu pārbaude
Quant Q&A

The document describes a portfolio-construction approach that substitutes a connectedness matrix for the covariance matrix and active returns for expected returns within a mean-variance optimization framework. The matrix is built from pairwise dependence…

AkcijasPortfeļa veidošanaStatistika
Quant Q&A

The document explains why realized volatility used to evaluate forecasts is not directly observable. Researchers must choose a proxy, such as one derived from returns, and recognize that the resulting measure depends on assumptions about prices, sampling,…

SvārstīgumsStatistikaVēsturisko datu pārbaude
Quant Q&A

The document asks how to represent bracket orders in a Python backtester. A bracket consists of an entry order linked to child exit orders, typically a stop loss and a take profit, with one exit canceling the other after execution. The response recommends…

Vēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldība
Quant Q&A

The document asks how to choose portfolio objectives for investors with different risk preferences. It questions whether the Sharpe ratio suits a risk-neutral investor and whether replacing standard deviation in its denominator with value at risk or…

Riska pārvaldībaPortfeļa veidošanaStatistika
Quant Q&A

The document examines an Ornstein–Uhlenbeck process whose drift targets a level equal to the process’s limiting variance. It asks whether that apparent relationship is mathematically consistent, using a process with positive mean-reversion speed, constant…

StatistikaAtgriešanās pie vidējās vērtībasSvārstīgums
Quant Q&A

The document asks for a detailed introduction to stochastic calculus for Poisson and other jump processes, including random intensities and jump sizes. It notes that standard derivative-pricing texts tend to emphasize Brownian motion, with jump-diffusion…

StatistikaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document considers estimating hedge ratios for spreads between Treasury futures when historical DV01 data are unavailable. It describes empirical DV01 as an estimate from a regression of futures price changes against changes in the yield of the…

Nākotnes līgumiFiksēta ienākuma instrumentiStatistikaVēsturisko datu pārbaude
Quant Q&A

The document discusses how to organize historical equity data so backtests can handle delistings, acquisitions, ticker changes, dividends, and splits. One proposed design assigns stable internal identifiers to companies and separately tracks stock series and…

AkcijasVēsturisko datu pārbaudeUz notikumiem balstīta tirdzniecībaStatistika
Quant Q&A

The document describes an attempt to calibrate the two-factor G2++ interest-rate model to cap volatility quotes using QuantLib's Python interface. The example builds a yield curve, creates cap helpers from maturities and volatility inputs, sets an…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaSvārstīgumsStatistika
Quant Q&A

The document compares traditional asset-class risk premia with factor investing and alternative risk premia (ARPs). It frames factors as return sources within established markets, such as equity value, size, momentum, and quality, which may have different…

Faktoru ieguldīšanaPārneseIzejvielasValūtu tirgus
Quant Q&A

The document addresses a discrepancy between historical stock prices shown in a finance website interface and values in its downloadable data. The example shows an apparent inconsistency between daily high and low values and the displayed close, alongside…

AkcijasStatistikaVēsturisko datu pārbaude
Quant Q&A

The document explains why swap valuation may require separate discounting and forward curves, and why the appropriate forward curve depends on the floating rate index in a swap. For a vanilla swap, the curve built from the most liquid swap quotes and futures…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
Quant Q&A

The document explains the source of a one-half term in a Fourier-based option-pricing derivation. It gives the Gil-Pelaez inversion formula, which relates an integral involving the real part of a characteristic function to the probability that the terminal…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document examines why an option’s expected payoff cannot simply be discounted at the risk-free rate under the real-world probability distribution. The underlying asset is risky too, and its expected growth rate is uncertain and potentially dependent on…

OpcijasAtvasināto instrumentu cenu noteikšanaArbitrāža
Quant Q&A

The document describes a fixed-risk position-sizing approach used in spread betting. The trader chooses a fraction of account equity to risk, measures the distance between entry and stop in points or pips, and divides the cash risk allowance by that distance…

Pozīcijas apjoma noteikšanaRiska pārvaldībaVēsturisko datu pārbaude
Quant Q&A

The document asks whether actively trading bonds could produce returns comparable to some equity strategies, given that bond returns are often associated with coupon income while equity returns include price appreciation. Its answer frames the question…

Fiksēta ienākuma instrumentiRiska pārvaldība
Quant Q&A

The document considers whether antithetic variates must produce a positive Monte Carlo estimate for a European call when every payoff from the original simulated draws is zero. The answer is no: pairing each draw with its antithetic counterpart does not…

OpcijasAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaudeStatistika
Quant Q&A

The document distinguishes the real-world probability measure P from the risk-neutral measure Q and explains their roles in research and pricing. P is used to describe outcome probabilities and expected returns, while Q offers a convenient way to price cash…

StatistikaAtvasināto instrumentu cenu noteikšanaOpcijas
Quant Q&A

The document explains how to read regression coefficients in the Carhart four-factor model. A significant positive or negative coefficient indicates that a portfolio’s returns have a corresponding relationship with a factor after accounting for the other…

Faktoru ieguldīšanaAkcijasCenas impulssStatistika
Quant Q&A

The document describes a market quotation for a one-year at-the-money straddle on the difference between the ten-year and two-year constant maturity swap rates. The quoted bid and offer are given as prices in percentage terms, rather than as an implied…

Fiksēta ienākuma instrumentiOpcijasAtvasināto instrumentu cenu noteikšana