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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 document derives the portfolio weights that maximize the Sharpe ratio for two risky assets with equal variances and a shared correlation, alongside a risk-free rate. It defines each asset’s excess return as its expected return minus the risk-free rate,…

Portfeļa veidošanaRiska pārvaldībaStatistika
Quant Q&A

The discussion suggests testing a Merton jump-diffusion model on broad equity benchmarks and their exchange-traded funds, naming the Nasdaq, S&P 500, Russell 2000, and examples such as QQQ, SPY, and IWM. It notes that these liquid benchmarks can help compare…

OpcijasAkcijasIzejvielasSvārstīgums
Quant Q&A

The document addresses how to simulate the terminal price of a geometric Brownian motion (GBM). It distinguishes the arithmetic mean and variance of the resulting lognormal price from the parameters required by a lognormal random-number generator, which are…

StatistikaAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaude
Quant Q&A

The document explains why a listed stock may have no daily price record even when the exchange is open. A stock does not necessarily trade each day: if no buyer or seller submits an order that leads to a transaction, there may be no new trade price from…

AkcijasTirgus mikrostruktūraASV tirgi
Quant Q&A

The document explains how to turn irregular stock trade ticks into a regular time series using previous-tick interpolation. One approach converts epoch milliseconds to POSIX time, creates a five-minute grid, and uses interval lookup to select the latest…

Augstas frekvences tirdzniecībaTirgus mikrostruktūraStatistika
Quant Q&A

The document explains why a futures backtest needs to model the transition from an expiring contract to a later-dated contract. A price difference between those contracts is not itself a trading gain or loss: a live trader closes the expiring position and…

Nākotnes līgumiVēsturisko datu pārbaudePārnese
Quant Q&A

The document explains how to value a payoff based on the difference between a stock price at an intermediate date and its later price. It first clarifies that the stated payoff needs a positive-part operator to describe a put-like claim; under that…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgums
Quant Q&A

The post questions a claim that puts are priced using historical volatility while calls use implied volatility, attributing the distinction to differences in liquidity. The reply challenges that framing: implied volatility is obtained by solving an…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The post considers how to compare profit factors across forex strategy runs when trades arrive in bursts. The author proposes treating nearby orders as one cluster and weighting each trade according to the number of subsequent orders within a short window. A…

Valūtu tirgusVēsturisko datu pārbaudePozīcijas apjoma noteikšanaRiska pārvaldība
Quant Q&A

The post asks how to construct a CNY interest-rate swap curve that matches Bloomberg, focusing on discount factors beyond the short end. The author reports converting maturities through nine months with an Actual/360 simple discount formula, then using…

Fiksēta ienākuma instrumentiĶīnas tirgiAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document asks how to apply Itô’s lemma to an option value modeled as a function of time and a stock price. The stock has a drift that pulls its level toward a parameter P at a rate set by omega, and its diffusion term is proportional to the stock price.…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document asks whether option sellers should prefer very short expirations, where time decay is concentrated, or sell options with more time remaining. It uses an at-the-money straddle example to compare premiums at two expirations and observes that the…

OpcijasSvārstīgumsRīkojumu izpilde
Quant Q&A

The document works through pricing a claim that pays the cube root of the underlying asset at maturity. The asset is initially specified with mean-reverting drift and proportional diffusion, while a money-market account earns a constant rate. The proposed…

Atvasināto instrumentu cenu noteikšanaOpcijasStatistika
Quant Q&A

The document considers how to compare an at-the-money call with an out-of-the-money call when each has a different implied volatility. Its central point is that implied volatility is inferred from market prices through a pricing model, often one that assumes…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document explains how to account for the parity ratio when using Black–Scholes to value a third-party warrant. Parity states how many warrants are needed to exercise the right to acquire one unit of the underlying. The answer converts the warrant price…

OpcijasAtvasināto instrumentu cenu noteikšanaAkcijas
Quant Q&A

The document considers why a stock may show little price movement after an earnings announcement, including when the reported results appear favorable or unfavorable. It challenges the questioner’s suggestion that option sellers or market makers deliberately…

AkcijasUz notikumiem balstīta tirdzniecībaOpcijas
Quant Q&A

The document explains why Black–Scholes specifies a geometric Brownian motion (GBM) for the underlying even though option valuation is commonly expressed using risk-neutral probabilities. Its central point is that risk-neutral pricing does not remove the…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The answer explains how a very long time series can fail a stationarity test even when shorter sections pass. It uses two stationary sequences with different means as an illustration: joining them creates a series whose mean changes at the transition, so the…

Statistika
Quant Q&A

The answer addresses how to assemble a symbol list covering common stocks listed on Nasdaq and other U.S. exchanges. It recommends obtaining the Nasdaq-listed and other-listed directory files, then merging and sorting them, rather than relying on the single…

AkcijasASV tirgi
Quant Q&A

The document distinguishes an ex ante return estimate based on assumed parameters from an ex post calculation using realized mean and risk. It gives a simple normal-distribution method for estimating the probability that a return falls below zero:…

StatistikaRiska pārvaldībaVēsturisko datu pārbaude
Quant Q&A

The answer explains why local volatility (LV) can misprice double-no-touch options even though it produces random realized volatility along simulated paths. Each path integrates variance across the local volatility surface, so the realized volatility varies…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document concerns the pricing of foreign-exchange options with American-style barriers. The question contrasts closed-form formulas for European barrier calls and puts with the apparent lack of comparable guidance for American barriers. The response…

Valūtu tirgusOpcijasAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document clarifies a terminology difference between trading practice and academic writing. At trading desks, “hedging” is commonly used for constructing a portfolio that replicates a derivative’s payoff. Academic papers more often call the same idea…

OpcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
Quant Q&A

The document describes why a trader or product issuer might use a forward-starting option instead of a standard option. Such an option’s strike is set at a future date, so it mainly exposes the holder to volatility after that strike-setting date. It may be a…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība