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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
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

29,558 documents

Hummingbot docs

This document explains a single-pair spot market-making strategy. It places limit bids and asks at spreads from a reference price, then periodically refreshes orders. The description outlines a tick-based loop: check whether trading may proceed, obtain…

Market makingSpot marketsExecutionMarket microstructure
SuperMind

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, main-board eligibility, and MACD above zero. It presents RSI as a way to identify comparatively weak stocks that may rebound, the daily gain as a short-term…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…

EquitiesMarket microstructureVolatilityFactor investing
BigQuant

This document summarizes a research approach that uses Google Trends search activity to inform equity portfolio weights. It treats search volume as a measure of how popular a stock is and assumes that popularity is related to risk. The portfolio therefore…

EquitiesPortfolio constructionRisk managementSentiment
SuperMind

This note describes a mainland China stock screen that combines RSI below 65, a daily price gain above 1%, main-board eligibility, and weekly MACD above zero. The stated rationale is to pair a momentum signal from the day’s gain with a longer-term trend…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This proposed screen targets stocks in the metaverse industry that experienced a limit-up event within the previous 25 days and meet company-quality criteria. The article describes those criteria broadly, including research capability, company scale,…

EquitiesChina marketsEvent-drivenFactor investing
MQL5 code base

This document describes two stop-management functions. A break-even rule moves the stop loss to the trade’s opening price after the market has moved favorably by more than a user-defined threshold. This is intended to remove the original price risk once the…

Risk managementExecution
SuperMind

This screening method focuses on stocks in the metaverse industry. It selects shares where the KDJ indicator has just formed a bullish crossover and the circulating share count is no more than 5.5 billion. The proposed selection is run before 10 a.m. on each…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes an Expert Advisor based on the 2pbIdealXOSMA indicator. It opens a trade when the indicator’s histogram changes direction, with the signal evaluated at the close of a bar. The described setup is a rules-based technical approach whose…

ForexTechnical indicatorsBacktestingRisk management
SuperMind

This Chinese A-share screening idea selects stocks classified in the metaverse sector that appeared on the previous day’s trading leaderboard and have a circulating market value above the stated threshold. It combines a thematic sector filter, a recent…

EquitiesChina marketsEvent-drivenRisk management
FMZ forum

Automated trading uses software to monitor markets and place trades when predefined entry and exit conditions are met. Rules can range from simple moving average crossovers to custom strategies, with order types, timing, stops, and profit targets specified…

CryptoExecutionBacktestingRisk management
BigQuant

The article argues that algorithmic trading has changed the experience of retail equity investors. It describes quant systems as data-driven and fast, and claims their trading can contribute to index moves that diverge from the performance of individual…

EquitiesMarket microstructureRisk managementChina markets
SuperMind

This post describes a simple Chinese A-share stock screen: retain shares with turnover rates between 3% and 12%, exclude Beijing-listed stocks, and require return on equity to exceed 15% for five consecutive years. The stated rationale is to favor companies…

EquitiesChina marketsFactor investingRisk management
MQL5 code base

This document explains an expert advisor that manages a sequence of positions using a martingale volume multiplier. A new position’s size is calculated by multiplying the previous position’s volume, while user-set distances determine when the next position…

ForexPosition sizingRisk management
SuperMind

This Chinese stock-screening post proposes selecting shares with daily amplitude above 1, more than one year since listing, and seven consecutive down sessions. The author frames large amplitude as a sign of active trading and the extended decline as a…

EquitiesMean reversionTechnical indicatorsRisk management
MQL5 code base

RiskPerTrade is described as an MT5 tool that displays trading information as percentages instead of monetary amounts. Its stated purpose is to help traders manage emotional reactions, such as holding losing trades too long or closing winners too early, by…

Risk managementPosition sizing
SuperMind

The document outlines a proposed screen for stocks associated with the metaverse theme. Its final stated rule selects companies with market value no higher than 10 billion yuan, circulating shares no greater than 5.5 billion, and a daily increase in holdings…

EquitiesChina marketsSentimentRisk management
SuperMind

The document describes an A-share screen requiring an intraday high-low range above 1%, circulating market capitalization above 10 billion yuan, and a daily increase above 5%. Although the narrative calls the last condition an increase in holdings, the…

EquitiesMomentumVolatilityRisk management
SuperMind

This Chinese-equity screening idea combines daily price movement with a concentration filter. It selects stocks whose intraday range exceeds 1%, whose daily decline falls between 4% and 5%, and whose concentration measure is no higher than 20%. The…

EquitiesVolatilityRisk managementChina markets
ProRealCode

This indicator estimates how often price has crossed levels above the prior candle’s high or below its low, separated according to whether that prior candle was bullish or bearish. It displays the historical percentages at several successive levels on the…

Technical indicatorsBreakoutStatisticsRisk management
SuperMind

This stock screen combines three conditions: daily high-low range exceeds one percent of the low, the J line of a KDJ indicator has just crossed above its D line, and the security has a nonempty name for an outstanding convertible bond. The article provides…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a Chinese equity screen combining high intraday amplitude, a prior-session opening auction price at the limit down level, and positive net buying attributed to large traders during the current auction. It then adds an upward-sloping 60-day…

EquitiesChina marketsTechnical indicatorsRisk management