Skip to content

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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

31,205 documents

BigQuant

The document introduces the Bias indicator, which expresses a closing price’s percentage deviation from its moving average over a chosen number of days. The calculation compares the close with the moving average, subtracts the average, and scales the…

Technical indicatorsStatistics
MQL5 code base

Volume Profile displays transaction volume at each price level over a chosen time interval as a horizontal histogram. Longer bars indicate prices where more trading occurred, while shorter bars indicate lower activity. The description presents it as a…

Technical indicatorsMarket microstructure
ProRealCode

I Seek Trends adapts the ATR-based SuperTrend by inserting neutral phases between confirmed bullish and bearish states. Its five states distinguish established trends, transitions out of either trend, and full neutrality after a failed breakout. When price…

Trend followingTechnical indicatorsVolatilityRisk management
SuperMind

This short-term stock screen combines three conditions: prior-day price amplitude above 1%, a prior-day appearance on China’s Dragon-Tiger list with reported buying greater than selling, and a current high that is the highest over the recent two-day window.…

EquitiesChina marketsBreakoutVolatility
MQL5 code base

The described indicator estimates the relative strength of a selected currency, such as the New Zealand dollar, using closing prices from seven currency pairs that contain it. A zero line represents an average over a user-chosen period. A colored histogram…

ForexTechnical indicatorsMomentum
MQL5 code base

This indicator compares each candle with the immediately preceding candle, looking for opposing changes in candle size and volume. It labels a candle as a growing divergence when its range increases while volume falls, and as a falling divergence when its…

Technical indicatorsStatistics
SuperMind

This daily stock screen selects securities before the market opens using three conditions: MACD above zero, a positive price-to-earnings ratio, and more than one year since listing. The document presents MACD as a way to identify an upward trend, treats…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This MetaTrader 5 Expert Advisor trades signals from the i_Trend oscillator. A signal is generated when a bar closes and the indicator cloud changes color, making the method dependent on confirmed bar-close changes rather than intrabar movement. Running the…

ForexTechnical indicatorsBacktestingExecution
SuperMind

This stock screening approach combines a Metaverse concept classification with an upward-sloping 30-day moving average and fundamental filters. It first selects companies associated with the theme, then looks for a rising average and firms below the stated…

EquitiesTechnical indicatorsTrend followingFactor investing
ProRealCode

The indicator colors a chart background according to whether the close agrees with both Supertrend and Parabolic SAR. It marks an upward condition when the close is above both indicators and a downward condition when the close is below both. The example uses…

Technical indicatorsTrend following
MQL5 code base

POGO is described as an oscillator intended to display the mean bar size over a selected period. Its calculation begins with the difference between each bar’s open and close, then applies a moving average to those values. The user can adjust the calculation…

Technical indicatorsStatistics
Freqtrade

This Freqtrade strategy combines a 14-period Relative Strength Index with 20-period Bollinger Bands calculated from typical price using two standard deviations. It enters a long position when RSI is below 30 and the close is below the lower band, treating…

CryptoTechnical indicatorsMean reversionRisk management
SuperMind

This equity selection proposal combines RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and simultaneous bullish crossovers in three technical indicators, with MACD, KDJ, and DMI offered as examples. It interprets the RSI…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed equity screen looks for stocks with turnover between 3% and 12%, three consecutive declining sessions, and a high product of price change and very large order net volume. The article frames the setup as a possible rebound candidate: the…

EquitiesMean reversionMarket microstructureTechnical indicators
SuperMind

This stock-selection rule filters for shares with daily high-low amplitude above 1%, a ten-day return above zero but below 35%, and positive PE. The stated rationale is to find stocks with some recent upward movement without selecting the largest short-term…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

The post outlines a daily A-share selection process that keeps stocks with MACD above its zero line, a price condition relative to the five-day moving average, and positive investor attention or “heat,” then ranks candidates by heat. It gives the standard…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post describes a simple Chinese A-share stock screen requiring daily high-low movement above 1%, a nonempty outstanding-convertible-bond name, and a share price around 18.5 yuan. Its final restatement widens the price condition to 18–19 yuan, while the…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

The proposed stock filter combines RSI below 65, best bid volume greater than best ask volume, and exclusion of STAR Market listings. The article interprets RSI as a way to identify relatively low-priced shares and the bid-ask size comparison as a sign of…

EquitiesTechnical indicatorsMarket microstructure
SuperMind

This short-term stock screen selects shares with RSI below 65, a daily gain above 1%, and eligibility outside the STAR Market segment. It adds a 15-minute MACD histogram condition: the histogram is negative and becoming less negative, which the document…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock screen combines three conditions: daily high-low amplitude above 1%, closing price below 20, and displayed best bid volume greater than best ask volume. The document gives matching formula and Python examples, framing amplitude as a measure of…

EquitiesTechnical indicatorsMarket microstructure
SuperMind

This stock selection approach combines three technical filters: daily price amplitude above one percent, a reversal or engulfing-style candle condition, and a weekly MACD histogram at or above zero. The post presents the combination as a way to seek active…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document presents a Chinese-equity screening rule that combines a minimum daily amplitude, a circulating-market-cap threshold, and a morning star candlestick signal. It describes the pattern as a possible bullish reversal after a decline and provides…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

The document outlines an exploratory method for studying whether historical indicator patterns relate to later price movement. It encodes a sequence of MACD values over a lookback window, uses that sequence to name a CSV file, and records how often the…

Technical indicatorsStatisticsBacktesting