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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

SuperMind

This document describes a short-term A-share screen combining turnover, recent price declines, and limit-up activity. It selects stocks with turnover between 3% and 12%, three consecutive falling sessions, and more than two limit-up days within the prior ten…

EquitiesChina marketsMomentumTechnical indicators
FMZ forum

The essay cautions against treating a single factor as a reliable cause of an investment outcome. It uses stock reactions to restructuring announcements to show that the same news can be welcomed in a bull market and ignored or sold in a weak market. It also…

StatisticsRisk managementEquities
SuperMind

This document presents a Chinese A-share screening rule for robot-themed stocks. It combines daily amplitude above 1%, a KDJ value below 20, and floating market capitalization below 10 billion yuan. It also gives example implementations using a stock…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This proposed A-share screen combines market capitalization below 10 billion yuan, a non-loss-making business, a current turnover range of 3% to 12%, and prior-day actual turnover between 3% and 28%. It treats moderate turnover as a way to favor liquid,…

EquitiesChina marketsFactor investingRisk management
SuperMind

This note proposes screening stocks with RSI below 65, turnover between 3% and 12%, and shortening MACD histogram bars on a 15-minute chart. The rationale is to find stocks whose short-term decline may be easing, while using RSI to avoid highly extended…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a short-term A-share screen combining amplitude above 1, rising bottoms, and a morning-star candlestick pattern. Its formula references a sequence of open and close prices, while the sample implementation also checks a low KDJ reading.…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese-language article outlines an equity screen combining a daily high-low range above one percent, weekly MACD above zero, and seven consecutive sessions in which each close is below the prior close. It frames the setup as a way to find stocks with…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This description presents a Forex Expert Advisor that combines breakout trading with a Martin Gale style recovery money management approach. Its listed settings allocate portions of account balance to trading, take profit, and stop loss, and control when…

ForexBreakoutPosition sizingRisk management
SuperMind

This Chinese-language post describes an A-share selection rule combining three conditions: price amplitude above one, a dividend payout ratio above 25% for 2019, and the current session’s low below the previous session’s low. It presents higher amplitude as…

EquitiesChina marketsTechnical indicatorsMean reversion
TqSdk

This example implements an intraday breakout strategy around the prior session’s high and low. It opens a long position when the latest price rises above the prior high and a short when it falls below the prior low, targeting a fixed position size in either…

FuturesBreakoutTrend followingRisk management
SuperMind

This stock-selection idea combines three daily price filters: a range threshold, exclusion of stocks that hit the upper price limit on the previous day, and a current low above the preceding low. The stated rationale is to seek active shares with rising…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document describes a Windows message-based script for disabling automated trading on a specific Expert Advisor in MetaTrader. It opens the EA properties dialog, navigates to the Common tab using keyboard shortcuts when needed, locates the auto-trading…

ExecutionRisk management
FMZ forum

This essay uses hypothetical investment examples to explain how returns compound asymmetrically: a loss requires a larger percentage gain to recover, and alternating gains and losses can produce a modest long-run result despite large individual moves. It…

StatisticsRisk managementPortfolio constructionPosition sizing
MQL5 code base

The document briefly describes an expert advisor that opens trades when Williams %R rises while the positive and negative directional indicators associated with ADX cross downward. It says sell-side rules are the inverse of buy-side rules, though it does not…

Technical indicatorsMomentumRisk management
FMZ forum

This FAQ explains practical design and troubleshooting points for FMZ Quant Workflow strategies. It covers host-version requirements, JavaScript-only code nodes, sequential execution, trigger behavior, reading data from connected parent nodes, and sharing…

BacktestingRisk managementExecutionMachine learning
SuperMind

This post proposes screening Chinese stocks for a large daily amplitude, a prior-day condition labeled as main-force control, and a current low below the previous day’s low. The rationale is to find volatile stocks with presumed large-player support that…

EquitiesChina marketsTechnical indicatorsMean reversion
FMZ forum

This essay uses the contest of guessing two-thirds of the group’s average to explain why a theoretically logical answer may not win when other players reason differently. Applied to speculation, its central lesson is to consider market behavior and other…

Multi-assetRisk managementSentimentTrend following
BigQuant

The document introduces R-Breaker as a futures strategy that combines breakout entries with reversal signals. It describes calculating daily pivot, resistance, and support levels from the previous session’s high, low, and close, then using those levels to…

FuturesBreakoutMean reversionTechnical indicators
SuperMind

This document describes a Chinese equity screen that combines daily price range, sustained profitability, and dividend payout history. The initial rule requires amplitude above 1, return on equity above 15% for five consecutive years, and a dividend payout…

EquitiesFactor investingRisk managementChina markets
Stratmill research code

This tutorial develops bivariate copulas as a way to describe dependence separately from the marginal distributions of two variables. It defines tail dependence and the Fréchet–Hoeffding bounds, then explains how an empirical copula can be estimated from…

StatisticsRisk managementPairs tradingDerivatives pricing
ProRealCode

This post describes a long-only RSI(2) mean-reversion strategy for equity indices. It buys when the two-period RSI falls below 15, subject to a positive slope in the 22-day moving average and a 22-period RSI above 50. It exits when RSI(2) rises above 60 and…

EquitiesMean reversionTechnical indicatorsRisk management
NautilusTrader

The document explains an account-state object used to represent a snapshot of balances and margin information. Such snapshots can arrive from venue updates through an execution client or be calculated by a portfolio after a position change when calculation…

Risk managementPortfolio construction