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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

8,851 documents

FMZ forum

This essay argues that trend following depends on choosing operational rules rather than discovering one universally correct definition of trend. It gives moving-average alignment and the Turtle system’s breakout rule—an upward break above a 20-day high,…

Trend followingBreakoutRisk managementTechnical indicators
SuperMind

This Chinese stock-screening article describes combining three conditions: at least five moving averages clustered near the closing price, a rising indication for the current day, and the 20-day moving average above the 120-day average. The averages named…

EquitiesChina marketsTechnical indicatorsTrend following
MQL5 code base

This indicator uses crosses between two adaptive exponential moving averages based on Cuttlers RSI to generate trading signals. The document suggests reading a change in the plotted color as the signal, since the color reflects a cross between the averages.…

Technical indicatorsMomentumTrend following
MQL5 code base

This brief description presents a variation on the Parabolic SAR indicator. Instead of using market high and low prices in the SAR calculation, it substitutes values from a moving average. Under this construction, the indicator’s direction changes when its…

Technical indicatorsTrend following
SuperMind

The document introduces tactical asset allocation (TAA) as a systematic, relatively low-frequency approach to adjusting a diversified portfolio. It contrasts TAA with both buy-and-hold investing and short-term trading, and describes potential benefits such…

Multi-assetMomentumTrend followingPortfolio construction
MQL5 code base

This indicator study compares three exit rules applied to the same Turtle-style Donchian breakout entries: an ATR trailing stop, a shorter exit channel, and a fixed profit target. Entries occur when a closed bar first crosses beyond the previous channel;…

CommoditiesForexBreakoutTrend following
MQL5 code base

This indicator derives a source signal for each bar by dividing the close-minus-open difference by the high-minus-low range. Its green oscillator aggregates those signed values over a period and divides their sum by the sum of their absolute values, then…

Technical indicatorsStatisticsTrend following
SuperMind

This Chinese stock-screening post combines four filters: strong capital-flow readings, exclusion of ST-designated stocks, a “five-limit-up” method, and a 20-day moving average above the 120-day average. It frames these conditions as a way to find stocks with…

China marketsEquitiesTrend followingTechnical indicators
SuperMind

This stock screen combines a rising 30-day moving average with two measures intended to represent buying activity: a daily increase in holdings above 5% and the ratio of external to internal trading volume above 1.3. The document interprets a higher…

EquitiesTechnical indicatorsTrend followingMarket microstructure
SuperMind

This stock screen combines a rising 30-day moving average with a measure of trading activity. It ranks candidates by a proposed capital-strength measure: yesterday’s turnover rate multiplied by today’s opening-auction volume divided by yesterday’s volume.…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This Chinese equity screening rule combines a short-term trend filter with an opening-auction activity measure. It selects stocks whose 20-day moving average is above the 120-day average, then ranks funding strength using yesterday’s turnover rate relative…

EquitiesChina marketsTrend followingMomentum
SuperMind

The proposed screen selects stocks whose 20-day moving average is above the 120-day moving average, then requires prior-day trading value above 60 million yuan. The moving-average relationship is used as a medium-term trend filter, while the trading-value…

China marketsEquitiesTrend followingTechnical indicators
SuperMind

This note proposes a Chinese equity screening idea based on five moving averages: 20, 30, 60, 90, and 120 days. It treats convergence of the averages as a possible buy signal, reasoning that it may reflect agreement about short- and medium-term direction. It…

EquitiesTechnical indicatorsTrend following
SuperMind

This document presents a historical stock selection rule for Chinese equities: select stocks in 2021 whose 20-day moving average is above the 120-day moving average and whose daily range exceeds 1% of the previous close. The moving average comparison serves…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This stock-screening approach combines price position relative to five moving averages, turnover, and trend. The stated final rules require the closing price to be above the 5-, 10-, 20-, 60-, and 120-day averages, turnover between 2% and 9%, and a rising…

EquitiesTechnical indicatorsTrend followingRisk management
SuperMind

This note describes an A-share stock screen that looks for at least five overlapping moving averages, excludes Beijing-listed shares, and requires the 20-day moving average to be above the 120-day moving average. The overlap condition is presented as a sign…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This stock screen combines two conditions: yesterday’s closing price was above its 250-day moving average, and today’s position-increase ratio exceeded 5%. The document interprets the long-term average as a sign of price strength and support, and the…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This stock selection idea combines two filters: yesterday’s trading value must exceed 60 million, and the 30-day moving average must be rising. The document interprets higher trading value as a sign of active market participation and a rising average as…

EquitiesTrend followingTechnical indicatorsChina markets
MQL5 code base

This Expert Advisor uses one of two CCIT3 indicator variants to generate directional trades. It opens a buy after the indicator crosses above zero and a sell after it crosses below zero, using the previous bar’s value for the signal. The indicator…

ForexTechnical indicatorsTrend followingPosition sizing
SuperMind

This screening recipe combines three market-based conditions: daily amplitude above a threshold, a large-order net-volume measure meeting a stated cutoff, and an upward 30-day moving-average trend. The article describes the mix as a way to consider price…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This stock selection recipe combines a price trend filter with valuation and trading-range conditions. It screens Shenzhen main-board stocks for a 20-day moving average above the 120-day average, price-to-earnings and price-to-book ratios within stated…

EquitiesChina marketsTechnical indicatorsTrend following
MQL5 code base

This brief description introduces an indicator that classifies market conditions as trending or flat. Its display uses pink bars for trends, gray bars for flat conditions, and violet bars to mark a transition between the two states. The document gives no…

Technical indicatorsTrend followingMean reversion
MQL5 code base

ADX Cross Hull Style is presented as a trend indicator that displays ADX signals as chart arrows. The note recommends using it alongside other tools: Bollinger Bands to help confirm a correction, and moving-average or momentum-style indicators to assess…

ForexTechnical indicatorsTrend following
MQL5 code base

BrakeParb is described as a simple trend indicator displayed in the form of NRTR, with use compared to Parabolic SAR. The document identifies the indicator's author and notes that an earlier MQL4 implementation was published in 2012. This provides a basic…

Trend followingTechnical indicators