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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
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

3,298 documents

Bitget Academy

The document frames yen trading around the interaction of a wide US–Japan interest-rate differential, possible Japanese currency intervention, and expectations for further Bank of Japan tightening. It identifies a stated USD/JPY level as a focal point for a…

ForexEvent-drivenVolatilityRisk management
Bitget Academy

The document compares three CFD account modes by explicit transaction fees, spread structure, quote depth, access requirements, and intended user. ECN charges a fixed per-lot fee with raw spreads and supports self-service switching. STP removes explicit…

ExecutionMarket microstructureHigh-frequency tradingRisk management
Bitget Academy

The recap describes a Federal Reserve rate increase and a more forceful anti-inflation message, then traces possible effects across the U.S. dollar, Treasury yields, gold, and equity indexes. It explains how higher yields can support the dollar and raise…

Fixed incomeEquitiesVolatilityRisk management
Bitget Academy

Bitcoin Ordinals associate individual satoshis with inscriptions such as text or images, making the data part of Bitcoin transactions. The article links their emergence to SegWit and Taproot, which changed how transaction data could be represented and…

CryptoOn-chain dataSpot marketsMarket microstructure
Bitget Academy

Neutron is described as a permissionless smart contract platform built with Tendermint consensus and the Cosmos SDK. It uses Inter-Blockchain Communication (IBC) to connect chains, Interchain Accounts to let contracts control accounts on remote zones, and…

CryptoDeFiOn-chain data
Bitget Academy

The article explains Runes as a protocol for creating and managing fungible tokens on Bitcoin. It describes how Runes use Bitcoin’s UTXO transaction model and place token instructions in OP_RETURN data. The explanation covers token transfers, the creation…

CryptoOn-chain dataMarket microstructure
Bitget Academy

The article reviews Ethereum’s October 2025 price swings and discusses possible drivers, including spot ETF flows, institutional demand, liquidations, network upgrades, staking, token burns, interest-rate expectations, trade tensions, regulation, and…

CryptoSentimentOn-chain data
Bitget Academy

The document explains contracts for difference as agreements that settle the price change between opening and closing a position, without transferring ownership of the referenced asset. Traders can take long positions when expecting a rise or short positions…

Derivatives pricingForexCommoditiesRisk management
Bitget Academy

Believe is described as a platform where creators and entrepreneurs issue Solana-based tokens to rally community support for projects. The outlined process involves creating a token, announcing it on social media, engaging supporters with updates and events,…

CryptoSpot marketsDeFi
Bitget Academy

ARC-20 is presented as a standard for fungible tokens on Bitcoin in which each token unit is linked to a satoshi. The article describes two issuance approaches: decentralized minting, where a creator sets parameters such as supply and start height, and…

CryptoOn-chain dataDeFi
Bitget Academy

Numerai is described as a hedge fund that incorporates forecasts from a global community of data scientists. Participants build machine learning models using datasets supplied through weekly tournaments, submit predictions about financial markets, and stake…

CryptoMachine learningStatisticsRisk management
Bitget Academy

Eclipse is presented as an Ethereum Layer 2 that uses the Solana Virtual Machine for transaction execution, Ethereum for settlement, and Celestia for data availability. The article explains that parallel execution is intended to process transactions…

CryptoDeFiSpot markets
Bitget Academy

The document explains that XAUUSD quotes the dollar price of an ounce of gold and that a CFD provides exposure to price changes without ownership or delivery of bullion. It describes the basic long and short directions, outlines how profit and loss depend on…

CommoditiesDerivatives pricingRisk managementPosition sizing
Bitget Academy

The document describes GaiaNet as a decentralized network in which independently operated nodes host AI agents tuned to specialized knowledge. It outlines the proposed system architecture: edge computing, a WasmEdge runtime, retrieval-based knowledge tools,…

CryptoMachine learningDeFi
Bitget Academy

The document presents a scenario-based approach to trading Federal Reserve meeting minutes. Traders assess whether the discussion points to broader support for tighter policy or a preference to wait for more data, then map that interpretation through rate…

Event-drivenFixed incomeEquitiesForex
Bitget Academy

The article describes Coresky as a Web3 platform for creating meme tokens with no-code tools, selecting projects through community votes, and supporting chosen projects through incubation and launchpad services. It says that some opportunities are packaged…

CryptoDeFiSpot marketsMarket microstructure
Bitget Academy

The article frames a crypto crisis as a loss of confidence that can spread from hacks, stablecoin problems, regulatory changes, or falling speculative demand into withdrawals, platform distress, liquidations, and broader price declines. It describes a 2025…

CryptoVolatilityPerpetual futuresRisk management
Bitget Academy

The document explains spot trading as an exchange of cash or another asset for prompt delivery. It distinguishes spot transactions from futures, where settlement occurs later, and from margin trading, which uses borrowed funds and can magnify both gains and…

CryptoSpot marketsMarket microstructureExecution
Bitget Academy

The report reviews Bitcoin prices and exchange trading activity during July 24–30, 2023. It compares the week’s average price, volume, and market capitalization with the previous week, then summarizes the opening, closing, high, and low prices in USD and…

CryptoStatisticsVolatility
Bitget Academy

This overview describes Send Protocol as a crypto payment system for individual users and merchants. It introduces the SEND App's use of Ethereum account abstraction, tailored smart contracts, mobile wallets, multiple payment methods, and gas-free…

CryptoDeFiOn-chain data
Bitget Academy

The document uses BlockFills’ bankruptcy as a case study in institutional crypto liquidity and counterparty risk. It describes the firm’s over-the-counter trading model, which sourced liquidity across venues to execute large client orders, and its expansion…

CryptoRisk managementMarket microstructure