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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 method screens for shares whose daily price range exceeds a threshold, whose average price is above the five-day moving average, and whose weekly MACD condition is positive. The article describes these filters as a way to focus on stocks…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

WPR3 displays three Williams Percent Range oscillators in one indicator window. Each oscillator uses closing, high, and low prices from the same timeframe, allowing the reader to view three versions of this range-based momentum measure together. The document…

Technical indicatorsMomentum
ProRealCode

This indicator plots twenty stochastic oscillators, using lookback periods from 5 through 24 and a smoothing setting of 3. It returns the oscillator series together in one display, allowing a trader to compare how readings across several calculation horizons…

Technical indicatorsForexMomentum
MQL5 code base

This document describes a modified Bill Williams zone-trading indicator built around the Awesome Oscillator and Accelerator Oscillator. Compared with standard AO and AC settings, it allows the user to configure the moving-average periods, applied price, and…

Technical indicatorsTrend followingMomentum
BigQuant

This tutorial shows how to implement a collection of Chinese stock features and screening rules in BigQuant AIStudio 3.0. It divides them into expression features and expression filters, then explains that the same calculations can be entered as a SQL query.…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This stock-selection method combines a daily turnover range of 3% to 12% with two recent market signals: a three-session limit-up streak and appearance on the previous day’s broker activity list. The rationale is that the streak captures short-term price…

EquitiesMomentumChina marketsTechnical indicators
MQL5 code base

The document outlines an expert advisor that combines three indicators sampled on different timeframes. MACD on a five-minute chart supplies the trade signal, RSI on an hourly chart checks whether conditions are overbought or oversold, and the Alligator on a…

Technical indicatorsForexMomentum
SuperMind

This Chinese community post proposes a stock selection rule combining daily price range, a positive but bounded ten-day return, and positive afternoon net inflow from large orders. The stated rationale is to find stocks with some recent appreciation and…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This stock-selection idea screens Chinese equities associated with the metaverse theme, requires a positive institutional-flow reading, and selects stocks whose closing prices lie between the middle and upper Bollinger bands. The proposed rationale is to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-screening idea combines three conditions: amplitude above 1, a change in an institutional trading-volume measure, and at least one limit-up event within the prior month. The accompanying explanation treats volatility as a sign of active trading,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post proposes a Chinese equity screen combining price movement and Bollinger Band position. It selects stocks with a daily high-to-low range above a volatility threshold, at least one daily gain of 10% or more during the previous 25 trading days, and a…

China marketsEquitiesVolatilityMomentum
SuperMind

This Chinese-language post outlines a stock screen combining price movement, recent strength, and MACD. The initial criteria look for stocks with a large daily high-low range, at least one session with a gain of 10% or more in the recent 25 trading days, and…

EquitiesMomentumTechnical indicatorsVolatility
SuperMind

This stock selection method screens after each trading day for shares whose MACD histogram is above zero and whose close is above the prior day's low. It then ranks qualifying names by reported stock heat, from highest to lowest, and the example code retains…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening idea selects stocks with an amplitude above 1, a product of yesterday’s turnover and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a prior-day signal that major market participants controlled the…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

The article presents a short-term stock screen combining positive price change, turnover between 3% and 12%, an outside-to-inside trading volume ratio above 1.3, and a positive product of price change and large-order net flow. Its rationale is that liquidity…

EquitiesMarket microstructureTechnical indicatorsMomentum
BigQuant

This stock screen combines three conditions: daily price range above 1%, closing price below 20, and more than two limit-up sessions in the preceding ten days. The document provides example implementations in a Chinese stock analysis formula language and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…

EquitiesFactor investingMomentumMean reversion
BigQuant

This guide explains simple and exponential moving averages as ways to smooth price series. An SMA averages prices over a selected window, while an EMA updates recursively and gives more weight to recent prices. It illustrates both calculations with a short…

Technical indicatorsTrend followingMomentumStatistics
SuperMind

This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen selects equities with turnover in a stated range, a prior-day appearance on a market trading activity list, and upward-moving averages. The detailed conditions also require a listing history exceeding one year, a close above its ten-day…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This Chinese stock-selection article proposes combining an RSI reading below 65 with seven consecutive sessions in which the close is below the open, followed by a strong upward move on elevated volume. It describes the final condition as a close near the…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

This post proposes a Chinese stock screen combining three conditions: at least five moving averages converge, the prior day’s turnover exceeds 8%, and the 30-day moving average is rising. The author interprets convergence as relatively stable prices, high…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document outlines an equity screening rule combining a daily high-low range greater than one percent of the prior close, weekly MACD above zero, and exclusion of stocks that hit the daily upper price limit on the previous day. It presents these…

EquitiesTechnical indicatorsMomentumChina markets