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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 Chinese stock-screening idea combines a metaverse-sector filter with a long-term price trend condition and a MACD signal. It selects metaverse stocks whose price is above the 250-day moving average and whose DEA is rising. The document presents the…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post presents a stock screen limited to the metaverse sector. It requires the closing price to be above its five-day moving average and applies two prior-day comparisons among the five-, ten-, and twenty-day averages. The post describes…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-market stock selection approach combines several daily filters: RSI below 65, a gain above 1%, and a positive day-over-day change in the KDJ indicator’s K value. It further focuses on main-board listings and describes controls involving…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes an equity screen that combines a 3%–12% turnover range, an engulfing-style reversal condition, and a rising DEA value from the MACD indicator. Its stated selection logic ranks qualifying stocks by market capitalization. The article also…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection rule combines an RSI below 65, a condition labeled as the start of a strong upward move, and a rising 30-day moving average. The article’s formula defines the upward-move condition by requiring the 30-day highest high and lowest low to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This screening idea looks for stocks in the metaverse theme whose previous closing price is above the 250-day moving average and whose previous-day opening-auction turnover rate exceeds the stated threshold. The long moving average is intended to identify…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post proposes a stock screen combining three conditions: a price range threshold for daily amplitude, the closing price above its five-day moving average, and simultaneous upward crossovers among the ten-, twenty-, and thirty-day moving averages. It…

EquitiesTechnical indicatorsMomentum
SuperMind

This document presents a stock screen for companies associated with the metaverse theme. It requires the prior day's actual turnover rate to fall between stated lower and upper bounds and the MACD DEA line to be rising. The rationale offered is that turnover…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The proposed stock screen combines an RSI range, a ratio of outside to inside trading volume above a stated threshold, and a 20-day moving average above a 120-day average. The article frames these conditions as a mix of market sentiment, trading-flow…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

CronexAO is described as a MACD-style indicator that uses Awesome Oscillator values in place of prices as its input series. Its output is displayed as a colored cloud, combining the structure of MACD with a transformed momentum series. This changes the data…

Technical indicatorsMomentum
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a price-change measure multiplied by large-order net volume, and a 15-minute MACD histogram whose green bars are becoming shorter. The accompanying discussion interprets the…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock screen combines three filters: daily trading amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and circulating market capitalization between 5 billion and 10 billion yuan. The article presents the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article describes a China-focused stock-selection screen for the metaverse theme. It combines membership in the metaverse sector with an opening gain below 6% at 9:25 and a condition described as a three-limit-up streak on the previous day. It provides…

EquitiesChina marketsMomentumBacktesting
SuperMind

This Chinese A-share screening recipe combines three filters: RSI below 65, the ratio of external to internal trading volume above 1.3, and prior-day actual turnover between 3% and 28%. The article presents these as measures of technical condition, trading…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This stock selection example screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average. It further…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes an equity screening rule that combines membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a lagged MACD condition. The intended rationale is to focus on…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screening rule that combines a turnover rate between 3% and 12%, outside volume more than 1.3 times inside volume, and a recent high matching the stock’s historical high. Its accompanying Python example adds a…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection rule combines a positive MACD condition, an upward-moving average condition, and a filter on the prior day's actual turnover. The document explains these as trend and liquidity cues, then provides indicator formulas and a Python example…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This A-share screening idea combines a turnover filter with a newly formed KDJ golden cross and an RSI ceiling. Its stated rationale is to exclude shares with very low or unusually high activity, look for a possible trend turning point, and avoid stocks…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The document describes a short-term A-share stock screen based on trading activity and recent price strength. Its stated conditions are intraday amplitude above a threshold, current volume above a threshold, an opening price above the prior close, and at…

EquitiesChina marketsMomentumTechnical indicators