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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

MQL5 code base

This document outlines an automated trading strategy that compares a moving average with the Parabolic SAR indicator to generate trading signals. The expert advisor operates using the current, still-forming bar, allows only one open position at a time, and…

ForexTrend followingTechnical indicatorsRisk management
SuperMind

This Chinese-language post describes a stock selection rule using turnover and recent price weakness. It screens for shares with turnover between 3% and 12%, seven consecutive declining sessions, and a current maximum decline between 4% and 5%. The article…

EquitiesMean reversionTechnical indicatorsRisk management
MQL5 code base

This document explains a chart indicator that displays the net direction and lot size of open positions for the chart’s symbol. It is aimed especially at hedge accounts, where a trader may hold long and short positions in the same instrument at different…

Position sizingRisk managementExecution
MQL5 code base

This brief description covers an assistant expert adviser that first moves open positions to breakeven and then enables trailing stops. Its three settings control the trailing distance in pips, the trailing step, and a magic number used to identify positions…

Risk managementPosition sizingExecution
BigQuant

The article contrasts quantitative trading, which it describes as using statistical models and systematic execution to exploit price deviations linked to investor emotion, with discretionary investing, where patience, independent judgment, and resilience may…

StatisticsSentimentRisk management
SuperMind

This proposed screen selects stocks in the metaverse sector when price is above the Bollinger upper and middle bands and the KDJ indicator has just formed a bullish crossover. It proposes running the selection before 10 a.m. and trading the chosen shares…

EquitiesChina marketsTechnical indicatorsMomentum
NautilusTrader

This overview explains how NautilusTrader simulates strategies against historical data. A backtest engine processes a historical data stream through components that are also used in live trading, including portfolios, strategies, execution algorithms, and…

BacktestingExecutionMarket microstructureRisk management
FMZ forum

This essay argues that systematic traders should separate the quality of a signal from the trader’s execution of it. A trader following a defined process should execute each signal consistently rather than deciding whether to take a trade based on recent…

Risk managementPosition sizingStatistics
Lumibot

This broker integration guide explains how LumiBot handles Bitunix USDT perpetual futures. It covers account funding, leverage requests, hedge-mode requirements, order precision, reduce-only closes, and historical candle retrieval. The integration does not…

CryptoFuturesPerpetual futuresExecution
OctoBot

This FAQ explains how OctoBot Cloud users can evaluate strategies and crypto baskets through paper trading with virtual funds, and says strategy performance is assessed periodically through historical backtesting. It notes that results vary with market…

CryptoBacktestingRisk managementExecution
SuperMind

The post outlines a screen for Chinese convertible bonds associated with the metaverse sector. A candidate must show three bullish crossovers at the same time: MACD over its signal line, the 5-period moving average over the 10-period average, and the…

China marketsTechnical indicatorsMomentumDerivatives pricing
SuperMind

This post describes a rule-based screen for Chinese equities. It selects stocks with turnover between 3% and 12%, circulating market value from 5 billion to 10 billion yuan, and circulating share capital no greater than 5.5 billion shares. The stated…

EquitiesChina marketsStatisticsRisk management
SuperMind

The post proposes screening Chinese A-shares with a rising 30-day average, previous-day actual turnover between 3% and 28%, and a current-day position increase above 5%. It interprets these conditions as a combination of upward trend, trading activity, and…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This stock-screening method selects shares priced below 12 yuan that have MACD above zero and a weekly signal described as a red histogram. The accompanying indicator logic also uses RSI and two smoothed RSI series to identify an aligned bullish condition,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection proposal first limits candidates to the metaverse theme and stocks with a positive daily return. It then combines the previous day's turnover rate with a ratio comparing current opening-auction volume to the prior day's volume, keeping…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening note combines three conditions: daily price amplitude above 1%, afternoon large-order net inflow, and a positive weekly MACD histogram. The author presents the screen as a way to select stocks showing volatility, buying pressure…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This short description covers an Expert Advisor designed to close open positions according to a selected scope: all positions, only positions currently in profit, or only positions currently at a loss. The note credits the original idea to James Malwitz and…

Risk managementExecutionPosition sizing
BigQuant

This strategy combines model-based stock ranking with trend-following entry filters to seek short- and medium-term gains in Chinese equities. It starts from a manually selected pool of China Securities 150 constituents, narrowed to roughly 100–300 large,…

EquitiesMachine learningTrend followingMomentum
MQL5 code base

The indicator described here anchors Fibonacci analysis to confirmed swing highs and lows rather than arbitrary chart points. It calculates retracement and extension references, then compares them across three configurable timeframes. When multiple levels…

Technical indicatorsStatisticsRisk management
SuperMind

This Chinese-language post describes a daily stock screen for the metaverse industry. It selects shares ranked among the top five by the day’s auction amount, then keeps those whose percentage change falls between -5% and 2.6%. The stated intent is to focus…

EquitiesChina marketsMomentumBacktesting
Amberdata research

This report section reviews DeFi activity and security incidents in 2025. It frames the year through several measures: total value locked (TVL), lending utilization, liquidations, decentralized exchange volume, and major protocol exploits. It argues that…

CryptoDeFiOn-chain dataRisk management
MQL5 code base

This Expert Advisor uses a moving average to generate directional trading signals. When the current ask is above the moving-average value from the prior bar, it signals a buy; when the current bid is below that value, it signals a sell. The description…

Technical indicatorsTrend followingExecutionRisk management
ProRealCode

The document presents a Renko-based system that buys after at least two upward bricks follow a decline of two or more bricks, and sells short after at least two downward bricks follow an advance of two or more bricks. The example code builds bricks from…

FuturesTrend followingBreakoutTechnical indicators
SuperMind

The proposed Chinese equity screen selects stocks with amplitude above 1, a shortening negative MACD histogram on a 15-minute timeframe, and circulating share capital no greater than 5.5 billion shares. The document interprets high amplitude as a sign of…

EquitiesChina marketsTechnical indicatorsMomentum