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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

BigQuant

This Chinese-language post outlines an equity screen for companies classified in the metaverse theme. It selects stocks whose actual turnover rate from two sessions earlier falls between 3% and 28%, and whose current control-related measure exceeds 21. The…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This report summary describes a stock-duration factor inspired by bond duration and constructed using company financial data and analyst consensus estimates. It reports that the factor’s cross-sectional behavior varies with market conditions and across…

EquitiesFactor investingStatisticsPortfolio construction
ProRealCode

This document describes an indicator that locates visible price peaks and troughs in historical bars and plots them as support and resistance levels. Users can choose how many levels to show and where to begin, or link supports and resistances by matching…

Technical indicatorsRisk management
Amberdata research

This overview explains how Delta, Gamma, Theta, and Vega describe different sensitivities in crypto options, with a brief discussion of Rho. Delta measures exposure to the underlying asset’s price; Gamma tracks changes in Delta; Theta describes time decay;…

OptionsCryptoDerivatives pricingRisk management
SuperMind

This proposed Chinese equity screen selects stocks with turnover between 3% and 12%, at least one limit-up event during the preceding 25 days, and a previous close above its 250-day moving average. It combines a liquidity or activity range with a recent…

China marketsEquitiesMomentumBreakout
BigQuant

This research note summarizes a study of downside volatility as a measure of portfolio risk and compares it with conventional volatility. It reports that the measures are generally closely related, but their relationship weakens during historically turbulent…

VolatilityRisk managementFactor investingPortfolio construction
MQL5 code base

This document describes a MetaTrader 5 expert advisor that monitors the combined profit or loss of open positions and closes them when user-set thresholds are reached. Traders can enable profit-triggered closing, loss-triggered closing, or both, and choose…

Risk managementPosition sizingExecutionFutures
BigQuant

This Chinese-language knowledge post explains a mismatch in a sample trailing-stop calculation. The code obtains a holding duration by subtracting the position’s last sale date from the current date, which yields calendar days. It then passes that duration…

EquitiesRisk managementExecutionBacktesting
SuperMind

This Chinese-language post presents a short-term stock screen using turnover, daily price change, auction return, trading volume, circulating market value, and large-order net flow. The main description calls for turnover between 3% and 12%, a negative…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The document introduces network value to transactions (NVT) as a crypto-market analogue to the price-to-earnings ratio. It defines NVT as market capitalization divided by transaction volume, treating on-chain transfer activity as a rough measure of network…

CryptoOn-chain dataStatisticsRisk management
vn.py community

The post asks whether an ATR-RSI strategy should reset its intratrade high after a stop order closes a position. The displayed logic updates the stored high to the greater of its previous value and the current bar’s high, then calculates a long exit level as…

Technical indicatorsRisk managementBacktesting
SuperMind

This stock-selection example combines a daily range filter, a morning-star-style candlestick condition, and a trend filter requiring the 20-day moving average to be above the 120-day moving average. Its accompanying indicator formula also includes a…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This Chinese A-share screening proposal starts with stocks in the robot concept whose circulating market capitalization is below 10 billion yuan and whose daily high-low range exceeds 1%. Its initial momentum condition is that at least one session in the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document proposes screening stocks with turnover between 3% and 12%, a positive product of daily price change and large-order net volume, and no limit-up on the prior day. It presents the combination as a way to focus on active stocks where price…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This document describes a China A-share stock screen that selects metaverse-related companies, ranks them by the day’s auction amount, takes the top five, and excludes stocks on the STAR Market. It argues that auction activity can help identify liquid or…

EquitiesChina marketsExecutionRisk management
MQL5 code base

The document describes a short-term news trading setup for a four-digit forex broker. Before a high-impact release, such as a central bank decision or employment report, the script places both a buy-stop and a sell-stop order. The proposed logic aims to…

ForexEvent-drivenExecutionRisk management
MQL5 code base

The described Expert Advisor applies Bill Williams-style indicators in three stages. It first seeks bullish or bearish divergence as a possible trend reversal signal. It may add to a winning position when the Awesome Oscillator prints a specified sequence of…

Trend followingTechnical indicatorsPosition sizingRisk management
NautilusTrader

The document explains how venue adapters connect exchange APIs to a trading system’s shared data and execution engines. It describes the typical roles of HTTP and WebSocket clients, instrument providers, data clients, and execution clients, then shows how…

ExecutionMarket microstructureRisk management
vn.py community

This Chinese-language forum discussion considers how to demonstrate that a VeighNa trading system can pause trading when account trading permissions are restricted. Participants note that the trader application does not provide subaccount permissions, and…

Risk managementExecution
BigQuant

The document reports a question about inconsistent price bases in a Chinese stock strategy backtest. A user compares adjusted closing prices retrieved from a stock factor data table with a position cost price returned after placing an order. The former is…

EquitiesBacktestingRisk management
MQL5 code base

The analyzer evaluates closed-trade results from a CSV containing a date and profit for each trade. It reports how much gross profit came from the largest winners at several cutoffs, and calculates the share of net profit attributable to the top N trades. A…

StatisticsRisk managementBacktestingPosition sizing
Amberdata research

The report compares on-chain behavior around Bitcoin volatility shocks in bull and bear periods. It defines a shock as a day when absolute daily return exceeds two standard deviations above its historical average, then studies 21 shock days in each market…

CryptoOn-chain dataVolatilityStatistics
MQL5 code base

This document describes an on-chart risk monitor for funded trading accounts. It reports the day’s realized and floating result, starting balance, equity, the share of the daily loss allowance consumed, and remaining room under daily and maximum loss limits.…

Risk managementPosition sizingExecution