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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

10 documents

QuantStart

This article recommends five less commonly cited reading choices for people preparing for quantitative finance roles. The list spans mathematical finance, continuous-time arbitrage and derivative pricing, career accounts from practitioners, evaluation of…

Derivatives pricingArbitragePortfolio constructionRisk management
QuantStart

This article surveys career paths in systematic trading and explains how roles differ across buy-side and sell-side firms. Buy-side organizations invest on behalf of clients or their own accounts, with analysts, traders, and portfolio managers contributing…

ExecutionMarket microstructureRisk managementFactor investing
QuantStart

This note extends the one-step binomial option model from zero interest rates to a positive continuously compounded risk-free rate. It bounds the stock’s possible up and down prices around risk-free growth, then chooses a risk-neutral probability that makes…

OptionsDerivatives pricingArbitrage
QuantStart

The article derives a no-arbitrage value for a call by constructing a portfolio that combines a long position in the underlying stock with a short call. In its example, the stock starts at 100 and can finish at either 110 or 90; a call with a strike of 100…

OptionsDerivatives pricingArbitrage
QuantStart

The document introduces linear state space models, where an underlying state evolves over time and observations provide noisy, indirect information about it. It defines the state and observation equations, their transition and measurement noise, and the…

StatisticsPairs tradingArbitrage
QuantStart

The article classifies common systematic fund approaches by trading style and instrument. It describes trend following as holding positions while trends persist, often accepting frequent small losses in exchange for occasional large moves, and countertrend…

Trend followingMean reversionArbitragePairs trading
QuantStart

The document introduces replication as a third way to price a call option in a one-step binomial model, alongside hedging and risk-neutral pricing. The central method is to find a portfolio of other traded instruments whose future payoff matches the option…

OptionsDerivatives pricingArbitrage
QuantStart

The document derives the Black-Scholes partial differential equation for a European contingent claim whose underlying asset follows geometric Brownian motion. It applies Ito’s lemma to express the option price change in terms of time, asset price, and…

OptionsDerivatives pricingVolatilityArbitrage
QuantStart

The article derives risk-neutral pricing for a call option in a one-period, two-state stock model. The stock starts at 100 and can finish at 110 or 90, while the call has a strike of 100. Using the option value established by a preceding no-arbitrage hedge,…

OptionsDerivatives pricingArbitrage
QuantStart

The document extends one-step binomial option pricing to a two-step stock tree, where the initial price of 100 can move through intermediate values of 105 or 95 and finish at 110, 100, or 90. It works through a call with strike 100, determining values at…

OptionsDerivatives pricingArbitrage