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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

29,558 documents

SuperMind

The document describes a Chinese equity screen that combines membership in the metaverse theme with price and limit-down conditions. Its stated selection logic uses a long moving-average comparison and a prior-day 9:15 matching-price limit-down signal; a…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This document presents an adaptation of the Bollinger Bands Stops indicator for MetaTrader 5 that uses the Jurik Moving Average in its calculation. It describes two possible roles: identifying the estimated direction of the market as a trend indicator, or…

Technical indicatorsTrend followingVolatilityRisk management
FMZ forum

This note argues against holding losing positions merely to avoid realizing a loss or repeatedly adding to them to lower the average cost. It frames a planned trade around four decisions made before entry: the entry level, stop-loss, profit target, and…

Risk managementPosition sizing
SuperMind

The proposed Chinese equity screen combines intraday price amplitude, pre-open auction price movement and large-order buying with a historical dividend-ratio filter. It describes selecting candidates during the ten minutes before the open, excluding limit-up…

EquitiesChina marketsMomentumTechnical indicators
ProRealCode

This EURUSD strategy combines 15-period and 100-period moving averages to identify a directional crossover, then waits for price to move across the shorter average before entering. For a long trade, the fast average crosses above the slow one, price first…

ForexTrend followingTechnical indicatorsRisk management
MQL5 code base

PricerEA is described as a trading utility for placing stop or limit pending orders at user-selected prices. It can calculate the lot size for each order automatically and can apply a trailing stop after a pending order is triggered; trailing stops are…

ExecutionPosition sizingRisk management
SuperMind

The document presents a Chinese equity screen combining daily price behavior with company characteristics. Its initial conditions select robot-themed stocks with circulating market capitalization below the stated threshold, daily amplitude above 1%, and a…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

The post describes a stock screen requiring price amplitude above 1, current volume above 10,000 lots, an opening above the prior close, and a specified daily decline between 4% and 5%. Its rationale is to find active, liquid stocks that open positively…

EquitiesChina marketsMean reversionTechnical indicators
FMZ live strategies

This dashboard snapshot describes a live Binance BTC/USDT futures robot running on an hourly candle interval. It reports account-level figures including equity, cumulative profit, drawdown, open positions, and win rate, alongside a large order history.…

CryptoFuturesPerpetual futuresExecution
ProRealCode

The indicator marks potential supply and demand zones after a crossover between fast and slow exponential moving averages. After a bullish crossover, it finds the lowest low in the preceding lookback and uses that bar’s low and candle body to define a demand…

Technical indicatorsTrend followingRisk management
SuperMind

The article argues that markets are uncertain and that technical indicators cannot deliver dependable forecasts by themselves. It makes the broad claim that trend-following indicators may have accuracy below 50%, attributing this to lag and uncertainty, but…

Technical indicatorsStatisticsRisk management
MQL5 code base

The document describes a MetaTrader 5 expert advisor that combines filtered momentum entries with a grid and hedge recovery system. Its entry rules use a Z-score, multi-timeframe trend alignment, a zero-line crossover, and a minimum slope; an overextension…

Technical indicatorsMomentumGrid tradingRisk management
Stratmill research code

This module implements analytical trading calculations for an Ornstein–Uhlenbeck mean-reverting process, following a published statistical-arbitrage model. Given an entry threshold, an exit threshold, and transaction costs, it computes expected trade length,…

Mean reversionArbitrageStatisticsRisk management
SuperMind

This Chinese stock-selection post describes a screen for companies associated with the metaverse theme and a rounded price pattern. Its initial rule combines the prior day’s turnover rate with the ratio of current auction volume to the prior day’s volume,…

EquitiesTechnical indicatorsRisk managementChina markets
BigQuant

This report examines two style-allocation ideas for Chinese equities: rotating between value and growth using value spread, and reducing market exposure to systematic risk through low-beta investing. It argues that value spread tends to revert toward its…

EquitiesFactor investingMean reversionRisk management
ProRealCode

The strategy defines a recent price range from the highest high and lowest low over a lookback window. It places a buy stop above the range and a sell stop below it, with a configurable distance. When one order triggers, the other should be cancelled; after…

BreakoutForexBacktestingRisk management
BigQuant

The discussion addresses missing broad-market risk-control data in a rolling-training workflow. Its suggested remedy is to load benchmark index history directly in the backtest data-preparation function instead of relying on an external data merge. The…

EquitiesRisk managementBacktesting
Hummingbot docs

This experiment describes a directional strategy for the APE-BUSD perpetual futures market that combines Bollinger Band position with the MACD line and histogram. It takes a long signal when %BB is below 0.2, the MACD histogram is positive, and the MACD line…

CryptoPerpetual futuresMean reversionTechnical indicators
Hyperliquid docs

The document explains how Hyperliquid derives robust reference prices for perpetual futures to reduce exposure to market manipulation. Its oracle price is a weighted median of centralized-exchange prices and is used to calculate funding rates; because…

Perpetual futuresDerivatives pricingMarket microstructureRisk management
Hummingbot docs

The article compares decentralized liquidity provision in automated market makers (AMMs) with liquidity mining on centralized exchange order books. In an AMM, providers supply assets while a smart contract sets prices; arbitrageurs trade against the pool and…

CryptoDeFiMarket makingArbitrage
Amberdata research

This market note reviews Bitcoin and Ether options around a period of banking stress and major US economic releases. It describes Bitcoin’s term structure moving into backwardation, with near-dated implied volatility elevated relative to longer maturities,…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This post describes a basic A-share momentum screen that excludes Beijing-listed stocks and selects for daily amplitude above 1% and a closing price at the two-day high. It frames amplitude and market location as filters and the recent price high as a…

EquitiesChina marketsMomentumTechnical indicators