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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

79,386 documents

MQL5 code base

The indicator displays the direction or trade signal produced by a separate METRO stochastic signal indicator, calculated on a selected timeframe. A round symbol denotes continuation of the current trend at the chosen bar, while a directional arrow marks a…

Technical indicatorsMomentum
ProRealCode

This indicator combines 20-period Bollinger Bands with a 14-period ADX reading to adjust trailing-stop locations and the width of a possible turning or ranging zone. ADX is scaled and capped to produce a trend-strength factor: stronger readings move the…

Technical indicatorsTrend followingRisk management
SuperMind

This note describes a Chinese stock screen that combines price and volume conditions. It seeks shares with amplitude above 1, a rising price bottom, current trading volume above 10,000 lots, and an opening price more than 3 percent above the previous close.…

EquitiesTechnical indicatorsBreakoutMarket microstructure
SuperMind

This note outlines a Chinese equity screen for companies associated with the metaverse theme. It looks for a limit-up session within the preceding 25 trading days and a current control ratio above 21 percent. The stated rationale is to combine a recent…

EquitiesBreakoutTechnical indicatorsSentiment
SuperMind

This note describes a short-term Chinese stock screen combining price movement with recent momentum. It selects shares with an amplitude above 1, a positive but limited ten-day gain, and three consecutive limit-up sessions on the previous day. The…

EquitiesMomentumBreakoutTechnical indicators
BigQuant

This research summary examines the difference between monthly stock and industry behavior in Chinese equities: individual stocks are described as showing reversal, while industry indices show momentum. It proposes an industry-momentum factor based on the…

EquitiesChina marketsMomentumMean reversion
SuperMind

This post outlines an A-share stock screen using daily amplitude, opening-auction price and order-flow signals, and recent returns. Its stated criteria include amplitude above 1, a positive but less than 35% ten-day gain, and a threshold for large or…

EquitiesChina marketsMomentumMarket microstructure
MQL5 code base

This brief indicator description explains a chart overlay that plots straight price channels from three timeframes on a single chart. It also draws each channel’s upper and lower boundaries, using line widths to distinguish the timeframes. A related version…

Technical indicatorsMulti-asset
SuperMind

This Chinese-language post describes an equity screen requiring a daily price range threshold, company scale above a stated minimum, and the 20-day moving average above the 120-day moving average. It frames the moving-average relationship as a trend filter…

EquitiesTrend followingTechnical indicatorsRisk management
SuperMind

This Chinese-language post outlines a stock screen combining a large daily trading range, at least one strong single-day gain within a recent 25-session window, and a specified share-price level. It also sketches formula and Python implementations, though…

EquitiesMomentumVolatilityTechnical indicators
MQL5 code base

This indicator adapts the RSI calculation by first comparing the close with a configurable moving average of a selected price series. Positive and negative differences are separated into gain and loss inputs, then each side is smoothed with a configurable…

Technical indicatorsMean reversionEquities
SuperMind

This stock-screening proposal combines a metaverse industry filter with a rounded-price-shape setup and a rise in trading volume. Its reference conditions include turnover within a specified band, price and moving-average relationships over recent periods, a…

China marketsEquitiesTechnical indicatorsMomentum
backtrader

This Backtrader example demonstrates a simple breakout-style strategy and a way to process daily bars in two stages. The strategy compares the current high with a rolling highest-high indicator, submits an entry when they match, and exits after a configured…

EquitiesBreakoutBacktestingExecution
SuperMind

This stock-selection rule combines a 14-period RSI below 65, three consecutive declining sessions, and positive Chaikin Money Flow over 14 periods. The proposed interpretation is that recent weakness may leave room for a rebound while positive money flow…

EquitiesTechnical indicatorsMean reversionMomentum
FMZ forum

This overview presents ten intraday breakout concepts. They use reference levels drawn from prior-session highs and lows, the opening price, an initial post-open range, recent consolidation, average price, or measures of historical and intraday ATR. In each…

BreakoutVolatilityTechnical indicatorsFutures
ProRealCode

The Bollinger Bandit combines moving-average bands with a directional filter. It considers long entries when price is below the upper band and the close is higher than it was 30 days earlier; short entries use the corresponding lower-band condition and a…

Technical indicatorsTrend followingVolatility
SuperMind

This post proposes an A-share stock screen that combines three conditions: daily amplitude above one, the opening price near the 10-day moving average, and a positive institutional-flow measure. Its examples define “near” as within five percent of the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes an A-share screening rule that combines daily price movement, trading range, and a measure of large-order net flow. The stated criteria are an amplitude above one, a share price of 18.5 yuan, and a product of price change and very large…

EquitiesChina marketsTechnical indicators
BigQuant

This event description focuses on why quantitative strategy results in backtests can differ from live trading performance, a concern it identifies specifically for Chinese A-share strategies. It presents the topic as a practical challenge for traders and…

EquitiesBacktestingStatistics
BigQuant

This article recommends a three-part process for improving trading discipline: record each trade’s rationale, timing, size, planned risk and reward, and emotional state; review those records regularly for rule violations and emotional decisions; then analyze…

Risk managementPosition sizingStatistics
FMZ forum

The document introduces stationarity as a time series property in which statistical characteristics remain stable over time, then contrasts it with nonstationary series whose means can drift. It explains that a stationary series may tend to return toward its…

StatisticsMean reversionPairs trading