Skip to content

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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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
Alphalens
14 documents
WonderTrader
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

610 documents

MQL5 code base

The document describes a foreign-exchange chart panel that combines technical sentiment, trend stage and momentum, volatility, breakout status, swap carry, and upcoming economic events. It overlays moving averages, Bollinger Bands, and Donchian channels. The…

ForexTrend followingBreakoutCarry
Amberdata research

The recap compares Bitcoin and Ethereum options markets through realized and implied volatility, term structures, skew, and relative gamma pricing. It describes BTC shifting into contango as front-end implied volatility falls more sharply than longer-dated…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This 2017 review compares commodity trading adviser factors and explores ways to combine them. It covers time-series and return-signal momentum, roll yield, basis momentum, and changes in warehouse receipts and inventories. The report says standalone…

FuturesMomentumCarryFactor investing
BigQuant

This report examines whether commodity futures signals and trades should use the most liquid main contract or an actively traded near-month contract. It defines active near-month contracts using liquidity and price sensitivity, then compares contract choices…

CommoditiesFuturesMomentumCarry
Amberdata research

This market snapshot interprets crypto conditions across derivatives, spot flows, order books, stablecoins, and DeFi lending. It describes continued long liquidations in BTC, ETH, and SOL, funding turning negative across major assets, and BTC–ETH correlation…

CryptoPerpetual futuresMarket microstructureVolatility
MQL5 code base

ZoneUS30 is an Expert Advisor for the US30 index that opens short positions when its internal conditions detect an upward price extension that may be followed by a correction. The approach combines counter-trend mean reversion with the possibility of…

Mean reversionCarryRisk managementPosition sizing
Awesome Systematic Trading

This QuantConnect example describes a monthly currency carry strategy. It ranks a universe of currency futures by associated central bank or interbank rates, goes long the three highest-rate currencies, and shorts the three lowest-rate currencies. Unused…

ForexFuturesCarryPosition sizing
Amberdata research

This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…

CryptoOptionsVolatilityCarry
BigQuant

This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…

Fixed incomeFuturesCarryArbitrage
BigQuant

This article explains a cross-sectional futures strategy that ranks commodity contracts by roll yield, going long markets in backwardation and short markets in contango. It distinguishes weekly signal-based direction changes from contract rolls: the former…

FuturesCommoditiesCarryFactor investing
FMZ forum

This note explains two cash-and-carry approaches to perpetual futures funding. When funding is positive, it buys spot and shorts the perpetual contract to collect payments from longs. When funding is negative, it describes borrowing and selling spot while…

CryptoArbitragePerpetual futuresSpot markets
FMZ forum

The account describes a historical nickel trade built around a persistent discount in physical nickel relative to futures, growing exchange inventories, and continuing imports of Russian nickel. Because imports could be profitable while domestic stainless…

CommoditiesFuturesArbitrageCarry
MQL5 code base

The document describes an MT5 chart panel that scans symbols in MarketWatch and displays long and short swap rates alongside estimated daily and weekly monetary costs. Users can set a reference lot size, sort the symbols, highlight favorable swap rates, and…

ForexFuturesCarryRisk management
Amberdata research

This market recap reviews BTC and ETH options positioning before US CPI. It reports lower realized volatility as prices stayed in ranges, while implied volatility changed little and carry turned positive. The author sees short gamma as attractive, suggesting…

CryptoOptionsVolatilityCarry
FMZ forum

The document describes a cash-and-carry strategy for crypto perpetual futures. When a perpetual contract trades above spot and its funding rate is positive, the trader sells the perpetual and buys an equivalent amount of spot, aiming to collect funding…

CryptoArbitragePerpetual futuresSpot markets
FMZ forum

The document surveys systematic fund approaches and the markets where they are commonly used. It distinguishes trend following, countertrend trading, statistical arbitrage, convertible arbitrage, fixed income trades, commodity spreads, and global macro or…

Multi-assetTrend followingMean reversionArbitrage
Amberdata research

The report argues that a sharp Bitcoin price decline and ETF redemptions reflected a concentrated unwind of cash and carry positions rather than broad institutional capitulation. It explains the trade: hold spot Bitcoin or ETF shares while shorting futures…

CryptoArbitrageCarryPerpetual futures
Amberdata research

The document introduces Rho Protocol as an on-chain venue for trading crypto-native interest rates, especially perpetual funding rates and staking rates. It describes fixed-for-floating contracts as a way to hedge exposure to changing rates, similar to…

CryptoFuturesArbitrageCarry
SuperMind

This Chinese-equity screening idea combines a dividend payout ratio above 25% for 2019, a preferred company type, and a recent increase in holdings above 5%. The explanation associates the holding increase with near-term capital inflow and treats dividends…

EquitiesChina marketsFactor investingCarry
Kraken Learn

The document presents perpetual futures funding rates as indicators of leveraged positioning as well as periodic payments. Sustained positive rates suggest crowded long exposure and may precede a pullback, while negative rates during a rising market can…

CryptoPerpetual futuresSpot marketsCarry
Amberdata research

This interview discusses how traders can identify persistent sources of edge, implement them, and manage the risks and emotions that accompany them. Euan Sinclair describes edge as a market phenomenon that mathematics can measure, citing trends, mean…

Risk managementVolatilityTrend followingMean reversion
BigQuant

The document outlines a process for forecasting dividends for index constituents, aggregating those estimates into an index-level total, and predicting when the dividends will be paid. Historical distributions are described as concentrated mainly in May…

EquitiesFuturesChina marketsCarry
Kraken Learn

The article compares staking proof-of-stake tokens with earning interest by depositing crypto assets into lending platforms. Staking rewards are linked to network issuance and transaction fees, while savings interest reflects demand from borrowers. Staked…

CryptoDeFiRisk managementCarry