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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

12,140 documents

SuperMind

This stock-selection note combines three filters: amplitude above 1, at least one daily gain of 10% or more in the previous 25 trading days, and actual turnover on the prior day between 3% and 28%. The author frames these conditions as a way to find…

EquitiesMomentumVolatilityChina markets
MQL5 code base

This indicator description starts from the Dynamic Momentum Index, an RSI-like measure intended to identify overbought and oversold conditions. The standard concept adapts its lookback period as volatility changes, unlike RSI’s fixed period. This version…

Technical indicatorsVolatilityMomentum
SuperMind

This Chinese stock-selection note describes a screen using price amplitude above one percent, company scale above 200 million, and a ten-day return greater than zero but below 35 percent. Its expanded version also requires a positive price-to-earnings ratio…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese A-share screening idea combines three conditions: daily price amplitude above one percent, at least one limit-up event during the preceding 25 days, and a positive institutional-direction measure. The accompanying discussion treats volatility as…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The proposed Chinese stock screen combines a 20-day moving average above the 120-day average with RSI below 65 and a revenue ratio above 1.1 for 2021 compared with 2018. It presents the moving-average relationship as a filter for an upward trend, alongside…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

The document presents a rule-based stock selection screen for the Chinese market. It selects shares in the metaverse sector whose previous-day price is above the 250-day moving average and that recorded at least one daily gain of 10% or more during the prior…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This research summary describes style drift in active equity mutual funds: departures from a fund’s stated investment mandate that can expose investors to unintended risks. It characterizes style along size, value versus growth, and momentum dimensions, and…

EquitiesFactor investingMomentumRisk management
SuperMind

This stock screen selects shares with an intraday high-low range greater than 1%, a newly formed KDJ golden cross, and a price pattern characterized as arc-shaped. The article interprets the range condition as evidence of volatility, the KDJ cross as a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This A-share screening idea combines three conditions: RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and at least one daily gain of 10% or more during the previous 25 trading days. The article explains these as a blend of a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language post describes a stock screen combining a positive MACD reading, a favorable but undefined company-quality condition, and a rising sequence of short- to longer-term moving averages. Its indicator formula specifies MACD above zero and…

EquitiesTechnical indicatorsMomentum
ProRealCode

This indicator note adapts the moving average convergence divergence calculation by substituting Hull-style weighted moving averages for the usual averages. It describes a fast and a slow moving average, forms their difference as the MACD series, and smooths…

Technical indicatorsMomentum
SuperMind

The document proposes a stock screen using turnover between 3% and 12%, a K value below 20, and a positive rise in the KDJ K line. It frames low K as an oversold-style filter and rising K as a short-term improvement signal, then recommends considering…

EquitiesTechnical indicatorsMomentumRisk management
ProRealCode

Twiggs Money Flow is presented as a variation of Chaikin Money Flow that combines trading volume with the closing price's position inside a range. The calculation uses the current high and low together with the prior close to define the range, then weights a…

Technical indicatorsMomentumStatistics
SuperMind

This A-share stock-selection rule screens for turnover between 3% and 12%, a positive return below 35% over ten days, and at least five overlapping moving averages. The accompanying formula describes five averages with periods of 5, 10, 20, 30, and 60 days,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection note describes a screen requiring daily amplitude above 1, a ten-day price gain greater than zero but below 35%, and a morning-star candlestick pattern. It presents the combination as a way to find stocks with recent positive…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three filters: turnover between 3% and 12%, a rising DEA condition, and membership in the robot concept, with circulating market value below 10 billion yuan. The stated rationale is to capture active but not extreme…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection example combines three filters: membership in the metaverse theme, a closing price above its 250-day moving average, and a short-term price and volume surge. The example expresses the surge as a daily gain greater than 3% alongside…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This brief indicator description explains that CHO Smoothed Arrow places arrow objects in the main price chart to represent signals from the Chaikin Oscillator and a smoothed version of that oscillator. The design presents oscillator-derived signals directly…

Technical indicatorsMomentum
SuperMind

This Chinese-language post outlines an end-of-day screen for mainland China mainboard stocks. It selects stocks with MACD above its zero line and a daily gain greater than one percent, then ranks the qualifying names by stated market heat. The post includes…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This MetaTrader 4 indicator adapts a squeeze approach associated with John Carter’s trading work and an earlier squeeze-break indicator. It plots squeeze values derived from Bollinger Band and Keltner Channel calculations around a zero line, while displaying…

Technical indicatorsVolatilityMomentum