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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

16,761 documents

Stratmill research code

This reference explains two utilities for copula-based trading research: a linearly interpolated empirical cumulative distribution function (ECDF), and a quick selector for candidate pairs. A standard empirical CDF is a step function, which can map sparse…

Pairs tradingStatisticsBacktestingEquities
ProRealCode

This community post describes a semi-swing strategy for the DAX on a four-hour chart, taking long trades only and aiming to capture brief trends. Entry requires a six-period RSI to cross above 60 while the close is above a 25-period simple moving average.…

FuturesTrend followingTechnical indicatorsBacktesting
BigQuant

The report presents a framework for timing gold using three proposed price drivers: value preservation, safe-haven demand, and speculation. It builds the first factor from US inflation expectations and trends in US real interest rates, the second from the…

CommoditiesFactor investingMomentumBacktesting
MQL5 code base

This document describes an Expert Advisor that runs two systems based on signals from the FineTuningMACandle indicator: one for long positions and one for short positions. Each side has its own input settings, including distinct identifiers and money…

Technical indicatorsBacktestingPosition sizingEquities
FMZ forum

This article introduces algorithmic strategy backtesting as the application of trading rules to historical data to generate signals and estimate trade and portfolio profit and loss. It describes using backtests to screen candidate strategies, test models of…

BacktestingStatisticsRisk managementMarket microstructure
SuperMind

This article outlines a short-term Chinese equity screen using RSI below 65, three consecutive declining sessions, exclusion of ST-designated stocks, and a condition related to trading halts during the first ten minutes after the open. It then proposes…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

The report summary describes a stock-selection factor built from a multinomial logistic model that estimates the probability of a large stock decline over the following month. It tests several decline thresholds and reports broad factor coverage, including…

EquitiesChina marketsMachine learningStatistics
MQL5 code base

The indicator combines patterns observed across price charts, DCOS, BullsPower, and BearsPower to generate probable buy and sell directions. It marks signals on the prior bar: blue indicates a buy and yellow a sell. A red dot must be enclosed by a square for…

Technical indicatorsMomentumBacktesting
vn.py community

The thread discusses changing a Turtle-style CTA backtest from a fixed number of contracts per trade to dynamically sized positions. A user reports editing a strategy variable intended to replace the fixed unit, but the refreshed backtest still uses the…

FuturesTrend followingPosition sizingBacktesting
SuperMind

This Chinese stock-selection note describes a screen using price amplitude above one percent, company scale above 200 million, and a ten-day return greater than zero but below 35 percent. Its expanded version also requires a positive price-to-earnings ratio…

China marketsEquitiesMomentumTechnical indicators
BigQuant

The research note examines two convertible bond approaches: buying bonds trading below conversion value and positioning in deeply out-of-the-money bonds. For discount arbitrage, it proposes buying the bond and shorting the underlying stock where feasible,…

EquitiesOptionsArbitrageEvent-driven
ProRealCode

This strategy uses Ichimoku cloud position and the relationship between the Tenkan-sen and Kijun-sen to generate directional entries. A long requires price above both cloud spans, a bullish candle, and Tenkan-sen above Kijun-sen; a short applies the opposite…

Technical indicatorsTrend followingForexEquities
Freqtrade

This strategy framework assembles entry and exit rules from a broad catalog of technical indicators. The catalog spans moving averages, momentum and volume measures, volatility, price transforms, cycle measures, candlestick patterns, and statistical…

Technical indicatorsMachine learningBacktesting
Stratmill research code

This tutorial demonstrates how to inspect market depth and trade flow in an event-driven backtest. It first reads the nearest visible bid and ask levels, then shows a region-of-interest vector representation that limits depth access to a configured price…

Market microstructureBacktestingTechnical indicatorsCrypto
FMZ forum

This article explains why a strategy that performs smoothly on historical data can fail in live trading. It distinguishes rule discovery from quantitative implementation: researchers may mine historical market data to invent or combine rules, then add and…

BacktestingStatisticsMachine learning
SuperMind

The document presents a stock screen combining daily price movement with two momentum indicators. It selects shares whose amplitude exceeds 1%, whose KDJ K value is below 20, and whose RSI is below 65. The accompanying examples describe calculating these…

EquitiesTechnical indicatorsBacktestingRisk management
SuperMind

This research summary argues that consensus analyst estimates may offer limited incremental value once the market has incorporated shared information. It instead examines analyst actions that may carry less widely recognized information: renewed coverage…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This Chinese-language post proposes screening stocks using three conditions: an intraday high-low range above 1% of the open, a 2019 dividend yield above 25%, and a price move below 6% at the 9:25 reference point. It supplies example formulas and sample…

EquitiesChina marketsTechnical indicatorsBacktesting
Amberdata research

The article describes how institutional crypto data services can support research, trading, and risk management. It highlights combining real-time and historical information from centralized exchanges, decentralized venues, and blockchains, including spot…

CryptoMarket microstructureExecutionBacktesting
MQL5 code base

This Expert Advisor pairs signals from the MA Rounding Candle indicator with position sizing that responds to recent trade outcomes. It enters when a completed bar indicates a trend change, shown by a candle color change. Buy and sell histories are evaluated…

ForexTechnical indicatorsPosition sizingBacktesting
BigQuant

This forum thread concerns a strategy that produced normal backtest behavior but no signals after submission to simulated trading. The user had removed a binding between the strategy’s start date and its live-trading parameter, then waited several days…

Technical indicatorsBacktestingExecutionStatistics
SuperMind

This stock screen selects Chinese A-shares whose daily high-low range exceeds a threshold, excludes Beijing-listed shares, and requires the 20-day moving average to be above the 120-day average. The longer-term trend filter is paired with a short-term…

EquitiesChina marketsTechnical indicatorsTrend following
ProRealCode

This indicator marks turning points at two scales. Major highs and lows use a configurable lookback, set to 20 periods by default; minor points use half that lookback. It compares a lagged bar’s high or low with the surrounding range, then draws alternating…

Technical indicatorsBreakoutVolatilityBacktesting