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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

82 documents

BigQuant

This older Chinese-equity strategy looks for stocks that rally to the daily limit, pull back, and later break to a new high. It defines a pullback as any post-limit-up close below the earlier limit-up price. After the pullback, a new high triggers a purchase…

China marketsEquitiesBreakoutMomentum
BigQuant

This document outlines a Turtle style trend following strategy for stocks. It buys when the close crosses above the prior 20 trading days’ high and exits when the close crosses below the prior 10 trading days’ low. The examples define signals using current…

EquitiesTrend followingBreakoutBacktesting
BigQuant

This Chinese-language post discusses connecting BigQuant research with Guojin Securities’ QMT platform for automated live trading. Its concrete example is a stock strategy that first processes daily data to select a watchlist, then monitors those names and…

China marketsEquitiesBreakoutHigh-frequency trading
BigQuant

This article explains a Dual Thrust trend-following method and its application to a basket of nickel, rebar, and coking coal futures. It defines a range from historical highs, lows, and closes, then sets upper and lower breakout thresholds around the current…

FuturesCommoditiesTrend followingBreakout
BigQuant

This article argues for entering strong, rising stocks instead of trying to buy after declines. Its proposed triggers are a break above a consolidation range or a shift from a gradual rise into faster gains, marked by the first large-volume bullish candle.…

EquitiesMomentumBreakoutRisk management
BigQuant

This brief Chinese-language forum post asks how to identify stocks that break above a price level and then do not fall more than 10%. It suggests describing the breakout as a new 100-day high: compare the current high with the maximum high over the preceding…

EquitiesBreakoutTechnical indicators
BigQuant

The document introduces R-Breaker as a futures strategy that combines breakout entries with reversal signals. It describes calculating daily pivot, resistance, and support levels from the previous session’s high, low, and close, then using those levels to…

FuturesBreakoutMean reversionTechnical indicators
BigQuant

This intraday A-share strategy combines strong thematic sectors with stocks that have recently reached their daily price limits. It ranks concept indexes by short- and medium-term returns, retaining the top two percent on both measures, then screens stocks…

China marketsEquitiesMomentumBreakout
BigQuant

This document describes a chart indicator that draws a price channel from the high and low of a candle on a selected higher timeframe. The user chooses the timeframe, and the indicator uses that period’s candle range as the channel boundaries on the chart.…

Technical indicatorsBreakout
BigQuant

This 2019 strategy review discusses how Chinese equity quant investors might respond to a weak market and changing asset-management conditions. It questions the near-term outlook for multi-factor approaches, noting that technical factors could remain under…

China marketsEquitiesFactor investingBreakout
BigQuant

This post sketches an experimental model for identifying leading stocks, using gradient boosted regression to score shares within a rolling window. The proposed label gives higher scores to stocks that rise more, experience smaller drawdowns, and break out…

EquitiesMachine learningBreakoutRisk management
BigQuant

This article describes a daily process for building a watchlist of strong stocks. After the close, rank shares by traded value and keep the top 30. From that group, look for stocks rising more than 3% on increased volume, giving extra attention to volume…

EquitiesMomentumBreakoutTechnical indicators
BigQuant

The document addresses a screening condition that combines a stock closing above a rolling maximum with a recent limit-up requirement. The questioner reports that the combined filters return no candidates even though individual conditions seem to identify…

China marketsEquitiesBreakoutTechnical indicators
BigQuant

This indicator identifies possible divergences between price and a 14-period relative strength index by comparing successive local turning points. A bullish setup occurs when price makes a lower low while RSI makes a higher low; a bearish setup occurs when…

Technical indicatorsMomentumBreakout
BigQuant

This note presents an extended version of on-balance volume (OBV), a momentum indicator that accumulates volume according to whether price rises or falls. It argues that conventional OBV often reverses direction frequently and lacks clear signal levels. To…

Technical indicatorsMomentumBreakoutEquities
BigQuant

This article explains resistance as a price area where selling may emerge as an advancing market reaches prior highs. Its demonstration identifies local maxima by finding prices higher than the immediately preceding and following observations, then marks…

EquitiesTechnical indicatorsBreakoutRisk management
BigQuant

This note explains average true range (ATR) as a measure of price movement, then uses it to define a channel around a moving average. The middle line is the 25-day average closing price, and the upper and lower bands sit two ATR units above and below it. A…

CommoditiesFuturesBreakoutTechnical indicators
BigQuant

This research note describes a method for detecting support and resistance lines in Chinese A-share price series. It adapts a local high and low point approach with quantile regression, defining line slopes for continuation patterns such as triangles,…

EquitiesChina marketsTechnical indicatorsBreakout
BigQuant

The article explains Dual Thrust, an intraday opening-range breakout method applied to futures. It defines a prior-period range as the larger of the highest high minus the lowest close, or the highest close minus the lowest low. Multiplying that range by…

FuturesBreakoutVolatilityExecution
BigQuant

This article presents six proposed bullish chart setups: a pullback that holds above a limit-up level and a moving average, rising volume after a contraction, a two-stage expansion from a price low, a large down day on reduced volume, a sequence of pullbacks…

EquitiesTechnical indicatorsMomentumBreakout
BigQuant

The article explains Bollinger Bands as a moving average surrounded by upper and lower bands set two standard deviations away. It also introduces band width as a way to identify volatility contraction, or a squeeze, which may precede a breakout but does not…

Technical indicatorsVolatilityMean reversionBreakout
BigQuant

This BigQuant forum post discusses how to define a factor for stocks closing above their historical maximum high. The example query groups earlier price records by instrument and name to calculate a prior high, then compares a later close with that value.…

EquitiesBreakoutTechnical indicatorsChina markets
BigQuant

This research note describes a method for detecting support and resistance lines in Chinese A-share price data and studying breakout behavior. It defines slope patterns for continuation formations, including triangles, rectangles, flags, and broadening…

EquitiesChina marketsBreakoutTechnical indicators