Siirry sisältöön

Tietokirjasto

Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.

Quant Q&A
20,364 dokumenttia
SuperMind
12,226 dokumenttia
OKX Learn
8,431 dokumenttia
Strategy library
7,910 dokumenttia
MQL5 code base
7,090 dokumenttia
BigQuant
3,481 dokumenttia
Bitget Academy
3,298 dokumenttia
MQL5 articles
3,012 dokumenttia
TradingView scripts
1,976 dokumenttia
ProRealCode
1,507 dokumenttia
Deribit Insights
1,232 dokumenttia
Machine Learning for Trading
1,124 dokumenttia
arXiv papers
1,033 dokumenttia
Amberdata research
766 dokumenttia
FMZ forum
682 dokumenttia
FMZ digest
662 dokumenttia
vn.py community
560 dokumenttia
QuantInsti blog
511 dokumenttia
Galaxy Research
340 dokumenttia
QuantStart
246 dokumenttia
Stratmill research code
219 dokumenttia
Robot Wealth
195 dokumenttia
NautilusTrader
191 dokumenttia
Hummingbot docs
181 dokumenttia
Paradigm research
175 dokumenttia
Lumibot
164 dokumenttia
Kraken Learn
163 dokumenttia
Kvanttikurssien kirjasto
157 dokumenttia
OctoBot
152 dokumenttia
Cryptohopper blog
144 dokumenttia
Systematic trading blog (Rob Carver)
132 dokumenttia
Qlib
116 dokumenttia
TqSdk
86 dokumenttia
Quantpedia
86 dokumenttia
Hyperliquid docs
79 dokumenttia
Freqtrade
68 dokumenttia
Hudson & Thames
62 dokumenttia
Awesome Systematic Trading
61 dokumenttia
backtrader
54 dokumenttia
vn.py
50 dokumenttia
Binance API docs
45 dokumenttia
Quantopian-luennot
45 dokumenttia
FMZ guides
38 dokumenttia
pysystemtrade
34 dokumenttia
Freqtrade docs
32 dokumenttia
quant-trading
31 dokumenttia
FinRL
28 dokumenttia
Zipline
22 dokumenttia
FMZ live strategies
21 dokumenttia
Jesse
17 dokumenttia
pyfolio
16 dokumenttia
Alphalens
14 dokumenttia
WonderTrader
14 dokumenttia
backtesting.py
11 dokumenttia
Technical Analysis
9 dokumenttia
QTPyLib
8 dokumenttia
QuantRocket
7 dokumenttia
Lumibot strategies
7 dokumenttia
Awesome Quant
1 dokumenttia

Hae kirjastosta

20,364 dokumenttia

Quant Q&A

The discussion examines why replacing a vanilla option at one strike with a strip of options across nearby strikes can reduce the sharp gamma concentration near expiry. It offers two related explanations: a strip distributes exposure across strikes, and as…

OptiotJohdannaisten hinnoitteluVolatiliteetti
Quant Q&A

The question asks how long it takes a stock’s historical price to reach a chosen level. The answer explains that there is no model-free estimate: the waiting-time distribution depends on assumptions about how prices evolve. Under an arithmetic Brownian…

OsakkeetTilastotiede
Quant Q&A

The document asks why fitting an autoregressive model of order one to stock prices can yield a high test-set R-squared while fitting the same form to returns can yield a negative score. An AR(1) regression predicts the current observation from its lag, but…

TilastotiedeOsakkeetHistoriatestausKoneoppiminen
Quant Q&A

The document uses a one-period, two-outcome stock model to show how stock and call positions can produce a payoff that is the same in either market outcome. With the stock ending above or below the strike, the call’s payoff differs across states. Choosing a…

OptiotOsakkeetJohdannaisten hinnoitteluSalkun muodostaminen
Quant Q&A

The document considers how to define carry for a USD payer swaption with a six-month expiry and a ten-year underlying swap. It questions a simple calculation based on subtracting a short-term LIBOR fixing from a ten-year yield, and whether that spread alone…

OptiotKorkosijoituksetCarry-tuottoVolatiliteetti
Quant Q&A

The document explains how trading in over-the-counter fixed income markets differs from trading listed equities. Rather than relying on one central exchange order book, dealers may maintain their own bond inventories and pricing books, especially for…

KorkosijoituksetMarkkinatakausToimeksiantojen toteutusMarkkinoiden mikrorakenne
Quant Q&A

The note explains the CBOE Put Protection Index as a tail-protection strategy: it holds exposure to the S&P 500 and buys a monthly put struck out of the money. The put premium reduces returns in ordinary markets, while the option can cushion losses when the…

OptiotOsakkeetVolatiliteettiRiskienhallinta
Quant Q&A

The note addresses whether Excel’s YIELD function can calculate the yield of an Italian government bond that pays coupons semiannually while its yield convention uses annual compounding. It explains that the bond’s price equation must discount each coupon…

KorkosijoituksetJohdannaisten hinnoittelu
Quant Q&A

The note gives an econometric rationale for adding lagged versions of predictors to a recession classification model. Its example is the yield curve: an inversion may precede a downturn by many months, so the curve observed earlier can be relevant to whether…

KoneoppiminenTilastotiedeKorkosijoituksetYhdysvaltain markkinat
Quant Q&A

The note explains the inverse relationship between a bond’s yield to maturity and its price, then defines Macaulay duration as the cash-flow-weighted average time until payments are received. Under continuous compounding, bond price is the sum of discounted…

KorkosijoituksetJohdannaisten hinnoitteluRiskienhallinta
Quant Q&A

The document challenges the idea that fitting a convex curve in strike-implied-volatility space guarantees an arbitrage-free option surface. Implied volatility need not itself be convex for market prices to be free of arbitrage, and convexity of implied…

OptiotJohdannaisten hinnoitteluVolatiliteettiMarkkinoiden mikrorakenne
Quant Q&A

The document presents two ways to price a forward-start call whose payoff depends on the asset price at the start date as well as at expiry. One approach conditions on the information at the forward start date and rewrites the value using the price of an…

OptiotJohdannaisten hinnoitteluVolatiliteettiHistoriatestaus
Quant Q&A

The document shows how Brownian motion's quadratic variation leads to the identity for the Itô integral of Brownian motion against itself. Applying the finite-increment expansion of one half of the squared Brownian level separates the expression into a sum…

Tilastotiede
Quant Q&A

The note explains why drift is often neglected when modeling asset prices at very short time intervals. For geometric Brownian motion with constant drift and volatility, it compares how each component scales as the interval shrinks: drift scales linearly…

Korkean taajuuden kaupankäyntiTilastotiede
Quant Q&A

The document considers whether Monte Carlo simulation can be applied directly to discrete stock percentage changes rather than to stock prices. The response highlights a key distinction between simple returns and the log returns used in geometric Brownian…

OsakkeetTilastotiedeHistoriatestaus
Quant Q&A

The document distinguishes estimating volatility with a GARCH model from forecasting future volatility. It also considers realized volatility calculated from high-frequency price observations as another way to quantify volatility. Its central point is that…

VolatiliteettiTilastotiedeFutuurit
Quant Q&A

The document asks how to predict whether bank customers will remain active, using their account movements, and points toward customer activity or churn analysis as the problem area. It recommends multinomial logit and probit models as statistical methods to…

TilastotiedeKoneoppiminen
Quant Q&A

At expiration, a call with a zero strike pays the stock price when the stock price is nonnegative. The discussion asks whether this means the option should be worth the stock itself before expiration, and whether shareholder rights or counterparty risk…

OptiotJohdannaisten hinnoitteluTilastotiede
Quant Q&A

The question describes an energy option that runs across several months. For each month, its strike resets to that month’s first-of-month index, and daily settlements below that level generate a payoff based on the difference. The question asks how to value…

OptiotRaaka-aineetJohdannaisten hinnoittelu
Quant Q&A

The discussion responds to a request for learning materials on stock-price forecasting with artificial neural networks, LSTMs, regression, and other predictive methods. It recommends two practical books: one covering modern forecasting models, including…

OsakkeetKoneoppiminenTilastotiede
Quant Q&A

A backtest that selects stocks using today’s market capitalization can exclude companies that later failed or fell out of the universe, while favoring firms that grew into it. This survivorship bias can make historical performance look too strong. The…

OsakkeetHistoriatestausTilastotiedeYhdysvaltain markkinat
Quant Q&A

The document defines an affine term structure model through the relationship between bond yields and model state variables. In the simplest formulation, a zero-coupon bond price is exponential in a maturity-dependent constant and the short rate; taking its…

KorkosijoituksetJohdannaisten hinnoitteluTilastotiede
Quant Q&A

The document addresses why the Black–Scholes call formula contains different volatility adjustments in d1 and d2 under risk-neutral pricing. It outlines a derivation route: solve the stock price process with its drift set to the risk-free rate, then express…

OptiotJohdannaisten hinnoitteluTilastotiede
Quant Q&A

The document explains how factor models can help identify risks and return patterns in an equity portfolio. It contrasts return-based analysis, which regresses portfolio returns on candidate factors, with holdings-based analysis, which aggregates exposures…

OsakkeetFaktoripohjainen sijoittaminenSalkun muodostaminenRiskienhallinta