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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

FMZ forum

This essay distinguishes a deliberately designed trading system from the behavior a trader repeatedly enacts in practice. It argues that recurring habits such as holding losing positions, hesitating to enter, or trading too frequently form a stable…

Risk managementBacktestingExecution
SuperMind

This Chinese-language trading script describes a long-only breakout setup using an 8-period and a 40-period moving average. It waits for a sequence of candle conditions: an earlier close near the low, a subsequent close near the high, and the prior close…

EquitiesBreakoutTechnical indicatorsPosition sizing
MQL5 code base

This indicator variation displays each intermediate value used in calculating the Laguerre filter instead of presenting only its final output. Exposing the calculation stages gives traders several possible ways to interpret the resulting lines. The document…

Technical indicatorsTrend followingRisk management
ProRealCode

This intraday system takes short positions in the DAX using a Repulse-style candle indicator and several filters. Entries are considered at scheduled times on a four-hour chart. The rules also require a short-term exponential-average relationship, a…

FuturesTechnical indicatorsTrend followingRisk management
MQL5 code base

This document outlines a Forex Expert Advisor that combines breakout entries with a Martingale-style recovery process. Its settings include the share of account balance available for trading, profit and loss targets expressed relative to balance, a recovery…

ForexBreakoutPosition sizingRisk management
MQL5 code base

The document describes an MT5 chart panel that scans symbols in MarketWatch and displays long and short swap rates alongside estimated daily and weekly monetary costs. Users can set a reference lot size, sort the symbols, highlight favorable swap rates, and…

ForexFuturesCarryRisk management
Stratmill research code

The document outlines safeguards for cryptocurrency futures trading during sharp market moves and delayed updates. It recommends monitoring the gap between a futures contract and its underlying spot price, and between last price and mark price, as signs that…

CryptoFuturesRisk managementMarket microstructure
Amberdata research

This overview describes how institutional crypto trading differs from retail activity, emphasizing larger trade sizes, specialized infrastructure, compliance demands, and execution across multiple venues. It surveys approaches including over-the-counter…

CryptoArbitrageExecutionRisk management
MQL5 code base

Hoop Master 2 is described as an evolution of an earlier automated trading system that uses pending buy-stop and sell-stop orders with a Martingale approach. The update adds more formal controls over open positions and pending orders. Its central change is…

ForexGrid tradingPosition sizingRisk management
MQL5 code base

The document explains how mismatched daylight-saving transition dates in the United States and Europe can affect the timestamps used for forex trading sessions. It describes a nominal weekly session lasting 120 hours and argues that the local server…

ForexExecutionRisk management
MQL5 code base

The module describes a trailing-stop method with two stop levels. A long stop behaves like a conventional fixed trailing stop, while a short stop becomes active when the Williams Percent Range (WPR) indicator exits its configured overbought or oversold zone.…

ForexTechnical indicatorsRisk management
ProRealCode

This indicator combines a cascaded fractional EMA with two adaptive Kalman filters to create a base line and a faster line. Setting EMA lengths below one makes the EMA extrapolate rather than smooth, reducing apparent lag while amplifying price fluctuations.…

Technical indicatorsTrend followingVolatilityRisk management
SuperMind

This Chinese-language article describes a stock selection screen combining turnover, earnings growth, and recent price weakness. It looks for shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company…

China marketsEquitiesTechnical indicatorsRisk management
MQL5 code base

The document explains the Stretch, a volatility measure calculated as a 10-period average of the smaller distance between each bar’s open and its high or low. It uses that measure to set session breakout levels around the open, forming a channel that can be…

BreakoutVolatilityTechnical indicatorsRisk management
TqSdk

This futures example computes daily pivot, support, and resistance levels from the prior session's high, low, and close. It trades a copper contract by entering long when price falls below first support or short when it rises above first resistance.…

FuturesTechnical indicatorsMean reversionRisk management
MQL5 code base

This document describes an expert advisor that compares price changes across two adjacent historical windows. It calculates the start-to-end price difference within each window, compares the resulting values, and uses their relative size to predict the…

ForexTechnical indicatorsStatisticsRisk management
MQL5 code base

This brief example describes an expert advisor that opens an order, modifies it to set stop-loss and take-profit levels, and closes the position after a fixed holding interval. The stated example uses a 30-second delay between opening and closing. It…

ExecutionRisk managementBacktesting
FMZ forum

The document presents a JavaScript implementation outline for a long-and-short grid strategy on perpetual futures. It covers exchange position reconciliation, price and order-amount precision, persistence of open-order and profit-history state, and…

Perpetual futuresGrid tradingExecutionRisk management
SuperMind

The document proposes selecting listed Chinese main-board stocks that have turnover between 3% and 12%, belong to the robotics theme, and have circulating market value below 10 billion yuan. Within that group, it seeks stocks with evidence of institutional…

EquitiesChina marketsFactor investingRisk management
BigQuant

This document describes a portfolio allocation overlay that uses rolling economic drawdown as a control target. It adjusts allocation weights using drawdown measured over a moving window while accounting for the time value of money, aiming to reflect…

Multi-assetRisk managementPortfolio constructionBacktesting
MQL5 code base

This MetaTrader 5 indicator presents a candle-close countdown alongside market context: geographic trading sessions, live spread, daily range relative to average daily range, and whether the current symbol's market is closed. The countdown changes color as…

Technical indicatorsMarket microstructureRisk management
SuperMind

The document describes a stock screen that combines daily amplitude above 1, a listing history longer than one year, and more than two limit-up events in a ten-day window. The rationale is that amplitude may indicate activity, while an established listing…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post proposes screening stocks for a large daily trading range, a recent multi-session limit-up streak, and falling closing prices across the preceding trading days. It frames the rule as a technical screen for volatile stocks whose recent price action…

EquitiesMomentumTechnical indicatorsRisk management
vn.py community

The post raises an architectural question about combining multiple CTA strategies in a live portfolio. The author has Bollinger-channel and DKX strategies that calculate indicators and position changes, but finds their individual money management conflicts…

FuturesPortfolio constructionRisk managementPosition sizing