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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 discussion asks whether government bond yields or swap rates better represent future short-term interest rates when the swap–bond basis is negative. It outlines possible market pressures on each side: liability hedging and cash constraints may increase…

Fiksēta ienākuma instrumentiNākotnes līgumiTirgus mikrostruktūraRiska pārvaldība
Quant Q&A

The document collects responses to a practical problem: historical data queries for the Dow Jones Industrial Average and S&P 500 fail when using Google Finance, although a query for an individual stock succeeds. The replies suggest checking index-specific…

AkcijasASV tirgi
Quant Q&A

The document discusses a coding question about simulating asset prices in a Least Squares Monte Carlo (LSM) method. The question focuses on formulas used to calculate the conditional log-price mean and volatility at an earlier time step, and asks why the…

OpcijasAtvasināto instrumentu cenu noteikšanaVēsturisko datu pārbaude
Quant Q&A

The discussion asks what market variable should serve as the input to a variance-covariance matrix for a portfolio of credit derivatives such as credit default swaps. The answer recommends basing risk statistics on observable market quantities. For traded…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaStatistika
Quant Q&A

This discussion interprets a corporate bond portfolio’s relative weights across short, medium, and long maturity buckets alongside credit-curve movements. Overweight positions in shorter and intermediate buckets, with an underweight in the long bucket, are…

Fiksēta ienākuma instrumentiPortfeļa veidošanaRiska pārvaldība
Quant Q&A

The discussion addresses the intuition that reversing every long and short signal from a losing strategy should produce a winner. It explains why this does not follow: trading costs affect both directions, and a strategy’s rules for entering and exiting…

Vēsturisko datu pārbaudeRiska pārvaldībaStatistikaRīkojumu izpilde
Quant Q&A

The discussion compares ways to obtain historical market depth data for research, including specialist vendors, broker APIs, trading platforms, and collecting a dataset over time. It distinguishes consolidated quotes from full-depth exchange feeds, since…

Tirgus mikrostruktūraVēsturisko datu pārbaudeRīkojumu izpildeAkcijas
Quant Q&A

The discussion addresses why IFRS 9 expected credit losses are discounted using the effective interest rate (EIR), rather than treating the calculation as a fair-value valuation discounted at a market rate. The answer distinguishes assets measured at fair…

Fiksēta ienākuma instrumentiRiska pārvaldībaStatistika
Quant Q&A

The discussion explains why a strategy that anticipates underlying price moves and seeks delta exposure may still lose money through vega. For European vanilla calls and puts with the same strike, put-call parity implies equal vega; holding equal and…

OpcijasSvārstīgumsRiska pārvaldībaAtvasināto instrumentu cenu noteikšana
Quant Q&A

The discussion examines the claim that election probabilities should behave like binary option prices and that volatile forecasts violate no-arbitrage principles. The accepted answer challenges this analogy and the claimed volatility rules. It describes a…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsStatistika
Quant Q&A

The discussion distinguishes quantitative trading from technical analysis by the rigor and breadth of the research process, rather than by how complicated an indicator is. A moving average or signal-processing filter can be used by either a discretionary…

Tehniskie indikatoriVēsturisko datu pārbaudeStatistikaPozīcijas apjoma noteikšana
Quant Q&A

The document explains why swaps manually priced from a QuantLib curve may fail to reproduce the market quotes used to build that curve. In the example, the discrepancies arise because the manually constructed swaps do not exactly match the swap rate helpers’…

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

The document addresses how to obtain bond prices for calibrating a Hull–White interest-rate model when historical yields are available but historical prices are needed. It points to public, machine-readable reporting of some EU bond quotes and trades…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūra
Quant Q&A

The document describes a question about extending a Vasicek short-rate simulation to the Hull–White model. It first presents the exact one-step normal transition for a constant-parameter Vasicek process: the conditional mean reverts toward a fixed long-run…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document compares fair strikes for two LIBOR contracts that reference the same rate fixed at the first maturity but pay at different dates. It derives each strike from discounted expected payoff under the bank account numeraire, then uses a change to the…

Fiksēta ienākuma instrumentiAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains how Fill-or-Kill (FOK) and Immediate-or-Cancel (IOC) limit orders behave when available book liquidity is sufficient or insufficient for the requested quantity. In its example, a buy order for 10 units at a limit price with 15 units…

Rīkojumu izpildeTirgus mikrostruktūraValūtu tirgus
Quant Q&A

The document compares two long-term U.S. Treasury bond futures for outright, long-biased trading. It presents Ultra Treasury Bond futures as having a more consistent volatility profile, attributing this to a more homogeneous deliverable basket and an…

Nākotnes līgumiFiksēta ienākuma instrumentiASV tirgiSvārstīgums
Quant Q&A

The document considers portfolio rebalancing when expected-return signals refresh quarterly but risk estimates update daily. At an interim rebalance, prices have moved while the original alpha forecasts grow stale, creating uncertainty about whether to…

Portfeļa veidošanaRiska pārvaldībaRīkojumu izpildeVēsturisko datu pārbaude
Quant Q&A

The document interprets an American put valuation expression that integrates discounted exercise payoffs against the probability density of first reaching an exercise boundary. For a proposed exercise curve, the discounted payoff at each time is weighted by…

OpcijasAtvasināto instrumentu cenu noteikšanaStatistika
Quant Q&A

The document explains that whether to include an intercept in a return regression depends on the hedge objective. Regressing the returns of an asset on other assets produces hedge weights, but the intercept changes what the fit is optimizing. For minimizing…

AkcijasStatistikaRiska pārvaldībaPortfeļa veidošana
Quant Q&A

The document derives a Cox–Ingersoll–Ross process by summing the squares of independent Ornstein–Uhlenbeck processes. Applying Itô’s formula to each squared component produces a mean-reverting drift with a constant term, while the combined stochastic term…

Fiksēta ienākuma instrumentiSvārstīgumsStatistika
Quant Q&A

The document asks whether factor volatilities in the multi-factor Heath–Jarrow–Morton framework may be negative. It notes that the drift expression uses products of volatility functions, then reports a reference that explicitly assumes these functions are…

Fiksēta ienākuma instrumentiSvārstīgumsAtvasināto instrumentu cenu noteikšana
Quant Q&A

The document considers comparing two portfolio strategies when Monte Carlo simulation produces a collection of Sharpe ratio estimates for each strategy. The response uses an approximate normal sampling distribution for an estimated Sharpe ratio, with…

StatistikaPortfeļa veidošanaVēsturisko datu pārbaude
Quant Q&A

The document asks how to find the lower five-percent quantile of daily currency returns separately for each month. One response gives a direct spreadsheet method: calculate the fifth percentile of the month's return observations. Another suggests sorting…

Valūtu tirgusStatistika