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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

BigQuant

This tutorial explains how to use Seaborn to explore financial data through matrix plots, plot grids, regression plots, and style settings. It uses stock financial statement data to demonstrate correlation heatmaps, including annotations and color maps, and…

EquitiesStatisticsTechnical indicators
ProRealCode

This indicator adapts the idea of nested Hurst channels by plotting a shorter-cycle channel inside a medium-cycle channel. Both use smoothed price averages as centers and average true range offsets to set their upper and lower bounds. The description frames…

Technical indicatorsVolatilityMean reversion
MQL5 code base

This expert adviser places a Buy Stop above the high of bar one and a Sell Stop below its low, with a configurable offset. The setup seeks to enter when price moves beyond that bar’s range. Its parameters include stop loss, take profit, trailing stop…

ForexBreakoutExecutionRisk management
BigQuant

This Chinese-language question and answer explains why a strategy’s apparently strong later years in a long backtest may not reproduce the same pattern when tested over those years alone. It identifies several possible causes rather than prescribing a single…

BacktestingStatisticsEquities
MQL5 code base

This indicator builds price and volume distributions from lower-timeframe candle data, then displays Value Area High, Point of Control, and Value Area Low. It distinguishes developing levels for the active profile from completed levels for the prior profile,…

Technical indicatorsMarket microstructureBreakout
SuperMind

The document describes a Chinese stock selection screen that combines a 14-period RSI below 65, the product of percentage price change and an oversized-order net inflow measure above 1, and a circulating market capitalization between 5 billion and 10 billion…

EquitiesChina marketsTechnical indicatorsMean reversion
MQL5 code base

This note describes an intraday extension of the Keltner channel. The channel combines a simple moving average with average true range multiplied by a user-selected factor; this variant uses intraday ATR. It further modifies the basic intraday version by…

Technical indicatorsVolatility
MQL5 code base

The document introduces a gradient version of a double-smoothed exponential moving average. It distinguishes this indicator from the commonly named double EMA, noting that the calculation differs despite the similar name. The author characterizes it as…

Technical indicatorsTrend following
Hummingbot docs

This documentation explains how Hummingbot Gateway connects to Orca, a Solana-based decentralized exchange. It describes support for legacy automated market maker pools and Whirlpools, which use concentrated liquidity. Users configure a Solana wallet and…

CryptoDeFiOn-chain dataExecution
SuperMind

This document describes a Chinese equity screen that looks for stocks with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. Within those limits, it selects stocks whose closing price has fallen on each of the…

EquitiesChina marketsMean reversionTechnical indicators
MQL5 code base

The Laguerre indicator described here plots a weighted trendline in a separate chart window and is presented as a possible aid for simple entry and exit signals. It is custom-built and does not depend on the standard MetaTrader indicators. The page says…

Technical indicatorsTrend followingBacktesting
OctoBot

Staggered Orders is a grid-like trading mode intended for sideways markets. A trader sets upper and lower price bounds, along with a spread and increment; the system then calculates the buy and sell orders needed to cover that range and uses available funds.…

CryptoGrid tradingSpot marketsPortfolio construction
SuperMind

The document describes a Chinese equity screening rule that starts with stocks classified in the metaverse theme, applies a minimum threshold for circulating market capitalization, then ranks candidates by the day’s auction amount and selects the five…

EquitiesChina marketsMomentumBacktesting
ProRealCode

The document defines a simple candlestick signal that labels a bar as bullish, bearish, or neutral. A bullish signal requires the current candle to close above its open and above the previous high, while opening below the previous low. A bearish signal…

Technical indicatorsEquities
SuperMind

This A-share screening idea focuses on stocks in the metaverse industry. It looks for a fresh KDJ bullish crossover alongside a pattern described as rising lows, with selection limited to before 10:00 and to stocks marked as tradable. The supplied examples…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

This intraday Germany 30 strategy combines the direction of a 20-period moving average with 12-period momentum and a 20-period RSI. It opens long positions when price is above the average, momentum is rising across recent readings, and RSI crosses above 70.…

FuturesTrend followingMomentumTechnical indicators
SuperMind

This Chinese A-share stock screen selects shares with current turnover between 3% and 12%, excludes Beijing-listed stocks, and requires the previous day's turnover to exceed 8%. The rationale is to find liquid stocks that have recently attracted trading…

EquitiesChina marketsTechnical indicators
MQL5 code base

This document explains a way to identify binary options symbols among instruments listed in MetaTrader 4’s Market Watch. Broker naming conventions vary: some append a suffix, others use a different marker, and some may follow another pattern. As a result,…

OptionsExecutionMarket microstructure
MQL5 code base

This document describes a simple indicator that expresses an asset’s recent high-low price range in points. For each averaging period, it sums the maximum prices and subtracts the sum of the minimum prices; the result is averaged using a selectable…

VolatilityTechnical indicatorsStatistics
SuperMind

This document presents a Chinese A-share screening idea combining technical signals with a basic profitability filter. The stated criteria include RSI below 65, an external-to-internal trading volume ratio above 1.3, and at least five moving averages…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This reading list summarizes three studies on portfolio construction. One develops a finite-horizon allocation framework using nominal assets, with closed-form optimal strategies and utility. It describes how hedging demand depends on the investor’s horizon,…

Multi-assetPortfolio constructionRisk managementFixed income
SuperMind

The document presents a stock-screening idea that combines MACD above its zero line, upward-diverging daily moving averages, and an external-to-internal trading volume ratio above a stated threshold. It then extends the screen with fundamental filters:…

EquitiesTechnical indicatorsMomentumFactor investing
BigQuant

The page reports a user’s concern that the Chinese stock 600256 had incorrect values for the total-liabilities factor fs_total_liability_0 over a historical interval in 2021. The user says values for other periods agreed with Eastmoney data, while the…

EquitiesChina marketsStatistics
Lumibot

The document describes TradingSlippage as an execution cost applied during backtesting to SMART_LIMIT fills. It says slippage can be supplied at the strategy level, with separate lists for buy and sell orders. This lets a researcher model an assumed cost on…

BacktestingExecutionMarket microstructure