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
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

12,140 documents

SuperMind

This Chinese-language post proposes a stock screen using three conditions: daily price amplitude above 1%, tradable share count no greater than 5.5 billion shares, and price above its 30-day moving average. It presents amplitude as a way to find more…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This brief description introduces an indicator formed by applying the Inverse Fisher Transform to a nonlag-smoothed RSX oscillator. It notes that RSX is presented as a smoother alternative to RSI and that nonlag smoothing can be turned off by setting its…

Technical indicatorsMomentumStatistics
MQL5 code base

This short note describes an indicator that applies the Inverse Fisher Transform to a nonlag-smoothed version of RSX, a momentum oscillator related to RSI. It characterizes RSX as smoother than RSI and says the nonlag smoothing can be disabled by setting its…

Technical indicatorsMomentumStatistics
SuperMind

This Chinese-language post describes an equity screening idea that combines a turnover range of 3% to 12%, three consecutive down sessions, and a shortening negative MACD histogram on a 15-minute timeframe. The intended signal is that selling momentum may be…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This proposed A-share screen looks for stocks with price amplitude above 1%, prior-day turnover value above 60 million, and three consecutive limit-up sessions as of the previous day. The rationale is that large price swings and substantial trading activity…

EquitiesMomentumBreakoutChina markets
SuperMind

This stock-selection post proposes screening for shares with an amplitude above 1, an upward-diverging short-term moving-average condition, and a daily return between -5% and 2.6%. The rationale is that a large range reflects activity, rising averages…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This post presents a Chinese equity selection rule for metaverse-related stocks. It specifies a volume ratio above 1.5 and below 6, along with more than two limit-up days during the prior ten days. The final proposed screen also restricts market…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post describes a Chinese equity screen for companies associated with the metaverse theme. It selects stocks with a volume ratio between 1.5 and 6 and more than two limit-up days within ten days; its final version also adds a market-cap ceiling below 5…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

The research summary defines a trend turning point as a period when short-window and long-window time-series momentum signals point in opposite directions. It reports that more frequent turning points are associated with weaker risk-adjusted returns for…

Multi-assetTrend followingMomentumStatistics
SuperMind

The document presents an equity screening rule that selects stocks with MACD above zero, upward-spreading moving averages, and a concentration measure greater than 70%. It describes the MACD condition as a sign of an upward market state and the…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

MaRsi-Trigger is an indicator that classifies an asset into three states: rising, falling, or flat. It encodes those states as plus one, minus one, and zero, respectively. Its signals combine two moving averages with two RSI oscillators that use different…

Technical indicatorsMomentumStatistics
SuperMind

This Chinese-language post describes a stock screen combining three signals: a trading range greater than the stated threshold, at least one daily gain of 10% or more during the prior 25 sessions, and a limit-up event in the preceding 25 days. It frames the…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

This post presents an equity selection rule combining three signals: RSI below 65, positive large-order net inflow in the afternoon, and a shortening positive MACD histogram on a 15-minute interval. It also shows illustrative indicator and Python…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This post describes a mainland China equity screen for non-ST main-board stocks. It selects shares with turnover between 3% and 12%, a daily gain above 1%, and a price below 12 yuan. The accompanying indicator and Python examples show ways to express filters…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen selects shares with a market capitalization of at least 200 million, a 14-period RSI below 65, and a 20-day moving average above the 120-day moving average. The moving-average relationship is used as a short-term-versus-longer-term trend…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This stock screen combines three technical conditions: daily amplitude above 1%, a current high matching the highest high of the last two days, and weekly MACD above zero. The first two conditions select for recent movement and a short-term high, while the…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

This A-share stock screen combines a turnover-rate band of 3% to 12% with a newly formed KDJ golden cross, while excluding stocks that hit the daily upper price limit on the previous day. The stated rationale is to seek liquid, technically active stocks…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock selection idea screens for shares with a daily high-low range above a threshold, an upward relationship between recent prices and moving averages, trading volume above a stated level, and an opening price above the previous close. The article…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese-equity screen selects stocks in the metaverse theme whose volume ratio is above 1.5 and below 6, and that recorded a limit-up event within the previous month. The stated goal is to focus on recent price strength while using trading activity and…

EquitiesMomentumBreakoutChina markets
BigQuant

The strategy turns conventional stock-selection rules into Boolean features for a CNN classifier. Its inputs include returns and return ranks, turnover, valuation and profitability measures, money-flow signals, volatility, technical indicators, and recent…

China marketsEquitiesMachine learningMomentum
SuperMind

This Chinese equity screen combines clustered moving averages, a positive weekly MACD reading, and prior limit-up activity. The article’s final version specifies six averages—5, 10, 20, 50, 100, and 200 days—with at least six clustered, weekly MACD lines…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The document proposes a Chinese equity screening rule that combines a daily price range greater than one percent, a high equal to the highest level across two days, and an opening gain below six percent. It presents these as short-term technical and timing…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed Chinese stock screen combines trading activity, opening behavior, and recent price-limit events. It selects stocks with more than two limit-up sessions during the prior ten days, an indicated 9:25 a.m. price rise below 6%, and high capital…

EquitiesChina marketsMomentumBreakout