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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
WonderTrader
14 documents
Alphalens
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

22,592 documents

MQL5 code base

The document describes a William Blau stochastic indicator and its configurable inputs: a lookback period, three successive smoothing periods, and the price series used in the calculation. It first measures the current price relative to the lowest price in…

Technical indicatorsEquities
SuperMind

This market-timing method combines moving-average crossovers, MACD, DMA, and TRIX signals to reduce reliance on any single trend indicator. Each indicator contributes a positive point when its faster or primary line crosses upward through its comparison…

China marketsEquitiesTrend followingTechnical indicators
SuperMind

This stock screening approach combines daily price movement, recent performance, and momentum with valuation and revenue growth filters. It selects shares whose daily high-low range exceeds one percent, whose ten-day return is positive but below 35%, and…

EquitiesTechnical indicatorsMomentumFactor investing
ProRealCode

The document introduces an adaptive price filter through an intuitive explanation of Kalman filtering. It starts from the idea of a moving average and describes adjusting the filter’s responsiveness to balance two sources of uncertainty: how much price is…

Technical indicatorsStatisticsEquities
SuperMind

This document describes a Chinese equity screen combining a beverage and alcohol industry classification with a turnover range of 3% to 12% and a circulating market value between 5 billion and 10 billion yuan. It gives example selection logic for a stock…

EquitiesTechnical indicatorsChina markets
BigQuant

This proposed Chinese equity screen combines three conditions: price amplitude above a stated threshold, a shortening negative MACD histogram on a 15-minute chart, and evidence interpreted as institutional buying. The rationale is that elevated amplitude…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document outlines a stock screen using RSI below 65, bid-side displayed volume greater than ask-side volume, and a nonempty name for an outstanding convertible bond. It interprets the RSI threshold as a way to avoid an overbought reading, the volume…

China marketsEquitiesOptionsTechnical indicators
SuperMind

This document describes a Chinese stock screen combining price range, a recent three-session limit-up sequence, and a shortening MACD histogram on a 15-minute chart. It presents the setup as a way to find volatile, actively watched stocks where short-term…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese stock screen that looks for price amplitude above a threshold, at least one large daily gain during the previous 25 trading days, and a ratio involving the prior day's turnover and the current auction volume relative to prior…

EquitiesChina marketsMomentumVolatility
SuperMind

This post outlines a Chinese equity screen using price amplitude, current trading volume above a stated threshold, a higher open, and a 20-day moving average above the 120-day moving average. The short and long averages are intended to identify stocks whose…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document describes a stock-selection screen that combines three conditions: daily high-low amplitude above one percent, a reversal or engulfing-style price pattern, and a positive measure labeled institutional trend. It sketches implementations in…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This study examines whether U.S. equity mutual fund managers adjust market exposure when broad stock mispricing changes. It builds a market mispricing measure from a financing-based long-short factor, then orthogonalizes it against macroeconomic variables. A…

EquitiesFactor investingStatisticsBacktesting
SuperMind

This note outlines a Chinese equity screen based on a price-amplitude threshold of at least 1, circulating market value of at least 10 billion yuan, and a company-type classification labeled as a high-quality enterprise. It presents the combination as a way…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This note presents a Chinese stock screen combining a daily price range above 1%, a nonempty outstanding convertible-bond name, and at least two limit-up events over a 500-day window. The author frames the filters as measures of price volatility, company…

EquitiesChina marketsVolatilityBreakout
SuperMind

This note describes a Chinese equity screen that adds a stock to a candidate pool when its daily high-to-low range exceeds 1%, the KDJ indicator has just crossed upward, and its tradable share count is at most 5.5 billion. It explains the range as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The post describes a Chinese equity screen for companies classified in the metaverse theme, with a minimum stated circulating market value and average share concentration below a stated threshold. It frames the size filter as a way to focus on larger…

EquitiesChina marketsFactor investing
SuperMind

This Chinese-language post presents a stock screen based on three conditions: today's position-increase share above 5%, scale above 200 million, and a gain below 6% at 9:25. It interprets the first as a sign of buying interest, the size threshold as a way to…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This Chinese-language post describes an equity screen combining three criteria: membership in the metaverse concept group, a closing price above the previous session's low, and a specified company type. It frames the price condition as a way to filter…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This document describes a native MQL5 library for creating, training, and running feedforward neural networks inside MetaTrader 5. It outlines dense matrix operations, activation functions, layers with dropout and gradient clipping, optimizers, learning rate…

Machine learningEquitiesTechnical indicatorsRisk management
SuperMind

This document outlines a Chinese stock screen focused on the metaverse industry. It looks for relative volume between 1.5 and 6 and an opening price between the prior session's 10-day moving average and the current 10-day moving average. The article presents…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines three daily conditions: price amplitude above 1%, absolute large-order net volume above 0.05 for at least three consecutive sessions, and a six-period RSI below 65. The author presents the combination as a way…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This document describes a Chinese A-share screening rule combining daily price range, recent limit-up activity, market capitalization, and positive earnings per share. It selects stocks with an intraday high-low range above 1%, at least one limit-up day in…

EquitiesChina marketsVolatilityBreakout
MQL5 code base

EMVCandle presents the Ease of Movement indicator as a sequence of candlesticks. The underlying price time series is processed by the EMV algorithm, and the resulting values are displayed in candle form. The document’s central idea is that this…

Technical indicatorsEquities