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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

79,386 documents

SuperMind

This brief Chinese-language community discussion asks whether a strategy based on stocks opening with a gap up can remain effective over longer periods. The poster reasons that a gap may reflect meaningful buying demand and asks which momentum factors could…

EquitiesMomentumBreakout
MQL5 code base

The document describes an indicator that overlays three Tymen STARC Bands sets on one chart, each calculated using a separately chosen timeframe and parameters. It is designed to let traders compare volatility bands from higher or lower timeframes with the…

Technical indicatorsVolatility
SuperMind

The document presents a Chinese equities screening idea that combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a price-range condition scaled by a large-order…

China marketsEquitiesFactor investingTechnical indicators
MQL5 code base

The document describes an expert advisor that trades support and resistance levels drawn by a user with trendline tools. The trader indicates the intended direction graphically, and the advisor opens a position when price crosses the configured level. If a…

ForexTechnical indicatorsExecution
BigQuant

This research note explains how genetic programming can evolve mathematical formulas from market data to discover equity selection factors. Starting with randomly generated expressions, the algorithm evaluates their fitness against a target and applies…

EquitiesChina marketsMachine learningFactor investing
MQL5 code base

This description outlines an indicator concept based on the ICT Silver Bullet approach. It proposes restricting fair value gap detection to selected morning or afternoon macroeconomic trading windows, on the premise that time alignment can help distinguish…

Technical indicatorsMarket microstructureExecution
SuperMind

This note proposes a short-term Chinese equity screen that combines daily price amplitude, price above the five-day moving average, and a price-change measure multiplied by a proxy for large-order activity. The intended interpretation is that substantial…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note describes a Chinese equity screen requiring turnover between 3% and 12%, appearance on the previous day’s Dragon-Tiger list, and a selection period in 2021. It gives example expressions for applying those filters and mentions excluding stocks…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This document describes an MT4 script for opening charts in batches. Users can choose every symbol in Market Watch or supply a comma-separated list, select a timeframe, and optionally apply a saved chart template. A text filter can restrict symbols by a name…

Execution
SuperMind

This document outlines a Chinese equity screening idea combining three conditions: membership in the metaverse theme, a positive institutional-flow reading, and a current high that is the highest of the latest two days. It also includes example indicator…

EquitiesChina marketsMomentumTechnical indicators
Jesse

The document reports a backtest of a Donchian strategy on Binance BTC-USDT six-hour candles spanning January 2019 to January 2021. It records 18 closed trades and one still-open position. The reported net profit was 45,194.35 from a starting balance of…

CryptoTechnical indicatorsBacktestingTrend following
MQL5 code base

This expert advisor opens a trade when a candle reaches a configurable minimum size within a specified number of minutes. An optional maximum length for the opposing candle shadow can filter the signal; the relevant shadow differs for buys and sells. Trading…

Technical indicatorsPosition sizingRisk managementExecution
MQL5 code base

The Trend Trail indicator displays a possible trailing stop level that follows the prevailing trend. It has two adjustable inputs: the period used to calculate average true range (ATR) and a multiplier that controls sensitivity. A trader can use the…

Technical indicatorsVolatilityRisk managementTrend following
SuperMind

This Chinese stock selection strategy filters for turnover between 3% and 12%, a positive product of price change and net super-large-order volume, and a 10-day return between 0% and 35%. The author presents the added 10-day return band as a way to focus on…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The document briefly describes a modified MACD trading indicator as a faster version of an earlier variant. It also says that the display includes multiple Bollinger stop levels, presenting the added visual levels alongside the speed improvement. It does not…

Technical indicatorsVolatilityRisk management
Stratmill research code

This note proposes screening Chinese metaverse-sector equities using two signals: rank by the day’s opening-auction value and retain the leading five, then require at least two limit-up events within a stated 500-day lookback. It includes platform-specific…

EquitiesMomentumChina marketsMarket microstructure
SuperMind

This document explains how to trade a cointegrated pair using entry and exit levels produced by a minimum-profit optimization method. It defines a spread from the two asset prices and a hedge coefficient. When the spread falls below the buy threshold, the…

Pairs tradingArbitrageStatisticsExecution
SuperMind

This note describes a Chinese equity screening rule for stocks classified in the metaverse sector. It selects stocks whose latest close is above the previous close and whose current low matches the lowest low over either a 20-session or 30-session lookback.…

EquitiesTechnical indicatorsRisk managementChina markets
ProRealCode

The document explains a regression trend indicator that gives less influence to bars with high local residual variance. It first fits an ordinary least squares line, smooths squared residuals to estimate local variance, adds regularization, and converts…

Technical indicatorsStatisticsVolatilityTrend following
WonderTrader

The example sketches a Python environment that connects a CTA backtesting engine to an agent-like training loop. It initializes a backtest, subscribes a strategy to five-minute bars, starts asynchronous execution, and advances the engine one step at a time.…

FuturesBacktestingMachine learning
SuperMind

The document proposes a Chinese A-share stock screen focused on the metaverse theme. Its initial conditions are yesterday’s turnover above 8% and at least two limit-up events within 500 days. A later version adds a market-capitalization filter, described as…

EquitiesChina marketsMomentumBreakout
FMZ forum

This personal account reflects on years of involvement in cryptocurrency markets, including altcoins, leveraged trading, decentralized finance schemes, and token mining promotions. Its main lesson is caution: the author describes a market where inexperienced…

CryptoRisk managementSentimentSpot markets
MQL5 code base

The document describes a MetaTrader 4 expert advisor for managing a chart symbol’s open trade with virtual stop loss and take profit levels. It also outlines a virtual pending order that can use a trailing stop. The stated workflow initializes the levels,…

ForexRisk managementExecution
SuperMind

This proposed Chinese stock screen selects beverage and alcohol companies with turnover in a stated range and a prior-day signal described as main-force control. The article also supplies platform formulas and a Python example. The code uses industry…

China marketsEquitiesTechnical indicatorsMomentum