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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

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

Search the library

8,116 documents

Quant Q&A

The document considers whether indicators can reliably identify sharp market reversals, including reversals following major market declines. The response lists RSI divergence, MACD crossovers or divergence, and breaks of resistance or trend lines as possible…

Technical indicatorsVolatilityOptionsSentiment
Quant Q&A

The document explains two quote adjustments used in high-frequency options market making. An offset shifts a quote away from its theoretical price to account for inventory: a market maker holding too much of an exposure can skew prices to encourage trades…

OptionsMarket makingHigh-frequency tradingRisk management
Quant Q&A

The document considers pricing a discounted payoff that depends jointly on two equity prices at a future date. Its central point is that pricing requires a joint risk-neutral distribution; a copula is one way to construct one, but it is not the only possible…

EquitiesOptionsDerivatives pricingStatistics
Quant Q&A

The document explains why a call option in a one-period binomial stock model is valued through replication rather than by taking its payoff-weighted average under real-world probabilities. A portfolio combining the underlying stock and borrowing or lending…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document presents a binomial pricing exercise for an American call option whose underlying is a futures contract. The stock tree is calibrated to a Black–Scholes geometric Brownian motion setup, while the option expires before the futures contract…

OptionsFuturesDerivatives pricingStatistics
Quant Q&A

The document asks how the Merton model’s debt payoff can be written both as debt face value minus a put payoff and as the lesser of face value and asset value. At maturity, debt holders receive the firm’s assets when those assets fall short of the promised…

Derivatives pricingOptionsRisk management
Quant Q&A

The note distinguishes an up-and-in binary call from a down-and-out binary call and explains their payoffs under a constant-strike barrier. For the up-and-in case, a terminal price above the strike implies that the price must have crossed that strike before…

OptionsDerivatives pricingVolatility
Quant Q&A

The document sets up a portfolio containing an option, the underlying stock, and a second asset whose value depends on both the stock and variance. The stock and variance follow correlated stochastic differential equations. The question is why the…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The note asks whether an American put’s time derivative, or theta, is continuous where the optimal exercise boundary meets the continuation region. It distinguishes this question from the familiar smooth-pasting condition, which says the option’s delta…

OptionsDerivatives pricingVolatility
Quant Q&A

The note explains the intuition behind Hull’s statement that a U-shaped implied volatility smile corresponds to a distribution with more probability in both small and extreme moves than a lognormal distribution. Higher implied volatility away from…

OptionsVolatilityDerivatives pricing
Quant Q&A

Structured products can embed options that transfer specific risks between investors and issuing banks. For example, autocallable notes may pay higher coupons in exchange for investors selling downside protection, often through barrier puts. This can leave…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document raises a practical question about estimating European option vega under the Heston stochastic volatility model. The author reports computing delta and gamma by bumping spot and recalculating prices or delta, with results matching Bloomberg…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks whether a portfolio can be hedged simultaneously for value, delta, gamma, and vega, after considering hedges that match pairs of sensitivities. The answer frames the problem in terms of degrees of freedom: a hedge needs enough independent…

OptionsDerivatives pricingRisk management
Quant Q&A

The document examines the lower bound for a European call on a non-dividend-paying stock, stated as spot less the present value of the strike. It walks through an arbitrage argument for a call trading below that bound: short the stock, buy the call, and…

OptionsDerivatives pricingArbitrageRisk management
Quant Q&A

The document explains why a standard variance swap payoff uses a scaled sum of squared log returns without subtracting the sample mean squared. One answer distinguishes realized variance in the market convention from the statistical sample variance: the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document poses a pricing puzzle under Black–Scholes assumptions: with spot at 100, zero interest, and volatility chosen so the one-year one-standard-deviation price range is 50 to 200, the call at 200 costs more than the put at 50. It asks why strikes…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The note explains that delta 10 or delta 30 implied volatility quotes identify points on an options volatility surface, rather than a different definition of option delta. Each delta quote maps to a particular strike or moneyness under the relevant market…

OptionsFixed incomeVolatilityDerivatives pricing
Quant Q&A

The document asks why the characteristic function used in Heston stochastic-volatility option pricing satisfies the same partial differential equation as the probability terms in a call-price representation. It presents the governing PDE for those terms,…

OptionsDerivatives pricingVolatility
Quant Q&A

The document asks how to extend Black–Scholes pricing when the stock follows both a diffusion and a resettable Poisson jump process. One response points to the jump-diffusion version of Itô's formula and the generator-based Dynkin formula as the tools for…

OptionsDerivatives pricingStatistics
Quant Q&A

The position buys two deep out-of-the-money calls and puts, while selling one nearer out-of-the-money call and put. One response describes it as a ratioed strangle switch; another views it as an iron condor combined with a long strangle. These are…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document presents QuantLib code that constructs a Black–Scholes process and an American-style vanilla option with specified dividend dates and amounts. The pricing function accepts a valuation date, expiry, call or put designation, strike, time-step…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document asks how to invert an options pricing formula associated with Roll’s compound formula to investigate lead–lag effects between stocks and options. The author has daily data for the NIFTY index and is trying to understand work attributed to Roll…

OptionsDerivatives pricingStatistics
Quant Q&A

The document surveys ways to express a view on how volatility itself changes. It distinguishes realized volatility of volatility from implied volatility of volatility and describes several candidate exposures: options on volatility products, variance-swap…

OptionsVolatilityDerivatives pricingMarket microstructure
Quant Q&A

The document asks when prices from a Cox–Ross–Rubinstein binomial tree converge to Black–Scholes prices as the time partition becomes finer, and whether the same behavior applies to Black pricing for options on forwards or futures. The answer gives an…

OptionsDerivatives pricingStatistics