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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

29,558 documents

SuperMind

The proposed stock screen combines a MACD condition above the zero line, a rising DEA signal line, and a shrinking green MACD histogram on a 15-minute chart. The article interprets the shorter histogram bars as a possible change in price momentum within a…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

The document describes configurable trade-management options for closing part of an open position and moving a stop loss to the break-even area. Its listed settings enable partial closing, set the percentage of position volume to close, enable stop movement,…

Risk managementPosition sizingExecution
Stratmill research code

This document explains how to model a mean-reverting portfolio with a Cox-Ingersoll-Ross (CIR) process, whose volatility scales with the square root of its value. It describes fitting the process by maximum likelihood and selecting portfolio weights to…

Mean reversionStatisticsRisk managementPairs trading
Lumibot

The document describes a two-agent bot that sells a same-day-expiring bear call spread on SPY. A research agent checks prices every 15 minutes and selects a short call near 0.20 delta plus a call five points higher. A trading agent opens one spread per day,…

OptionsEquitiesRisk managementBacktesting
ProRealCode

The document explains an indicator that marks bullish and bearish breaks of market structure using price pivots. A configurable lookback period identifies swing highs and lows; a close above a stored high or below a stored low triggers a breakout line and a…

Technical indicatorsBreakoutRisk management
SuperMind

The document outlines a Chinese equity screen combining a six-period RSI below 65, a share price below 12 yuan, market capitalization below 10 billion yuan, and no losses over the prior five years. It presents the mix as a way to combine a technical…

EquitiesChina marketsTechnical indicatorsRisk management
pysystemtrade

This configuration defines a futures system that combines exponentially weighted moving-average crossover forecasts at several speeds with a carry forecast smoothed over 90 days. It assigns forecast scalars to the rules, caps combined forecasts, and…

FuturesTrend followingCarryPortfolio construction
SuperMind

This stock screen combines trading activity, earnings growth, and a recent price event. It selects shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to the parent company above 20% and at most 100%, and at least one…

EquitiesMomentumEvent-drivenRisk management
SuperMind

This stock-selection approach combines market activity with a profitability screen. It looks for shares with amplitude above 1, turnover between 2% and 9%, and return on equity above 15% for five consecutive years. The article presents ROE as a way to…

EquitiesFactor investingStatisticsRisk management
SuperMind

This stock-screening idea combines daily price movement with technical signals. It selects shares with an amplitude above 1, simultaneous bullish crossovers in three indicators, and shortening green MACD histogram bars on a 15-minute chart. The article’s…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This post outlines a Chinese equity screen combining three signals: a position-increase share above 5%, net large-order inflow during the afternoon, and more than two limit-up sessions in the prior ten days. It interprets these as signs of recent capital…

EquitiesMomentumMarket microstructureTechnical indicators
SuperMind

This Chinese-language post describes an equity screen using amplitude above 1, current trading volume above 10,000 lots, a higher open, and a rounded price pattern. It presents these conditions as signs of active trading and a potentially stable short-term…

EquitiesTechnical indicatorsChina marketsRisk management
FMZ forum

The document asks how to record a spot account’s available funds every fifteen minutes and plot the resulting time series. Its example repeatedly requests account information, selects the free USDT balance, appends that value to a list, redraws a chart,…

Spot marketsTechnical indicatorsRisk management
OctoBot

The document introduces paper trading as a way to run strategies in live market conditions with a virtual portfolio before committing real funds. It describes using a cloud trading service to select strategies, choose a simulated portfolio, and monitor the…

BacktestingRisk managementExecution
MQL5 code base

The document describes an automated trading system that uses Heikin Ashi candle direction to identify trend changes. It proposes entering trades when candle colors indicate a bullish or bearish shift, then closing positions when the direction flips. The…

Trend followingTechnical indicatorsRisk management
TqSdk

This strategy applies a moving average of the difference between daily closes and opens as a Qstick signal on a China-listed equity index futures contract. It enters long when Qstick crosses above zero and price is above its simple moving average, and enters…

FuturesTechnical indicatorsTrend followingRisk management
SuperMind

This note describes a stock screen for companies associated with the metaverse concept. It combines concept membership with a close above the previous session’s low and market capitalization above 200 million. The price condition is presented as a short-term…

EquitiesTechnical indicatorsMomentumRisk management
Amberdata research

This podcast recap follows Ilan Levy-Mayer’s path into trading and his work at a futures brokerage. It describes the broker’s role in helping hedgers, speculators, and self-directed traders choose platforms, understand markets, and manage risk. The firm’s…

FuturesCommoditiesCryptoRisk management
MQL5 code base

The Volatility Ratio2 indicator compares the current true range with an exponential moving average of true range over a configurable period. True range accounts for the day’s high-low span and gaps from the previous close, so the measure reflects more than…

Technical indicatorsVolatilityRisk management
SuperMind

The post outlines a Chinese equity screening idea combining membership in the metaverse sector, a prior price above the 250-day moving average, positive buying activity during the opening auction, and large or extra-large buy volume above a stated threshold.…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese A-share screening idea combines three conditions: a high same-day increase in net position or buying activity, year-over-year net profit growth attributable to parent-company shareholders above 20% and no more than 100%, and more than two…

EquitiesChina marketsMomentumBreakout
Amberdata research

The article explains how inflation, interest rates, and economic growth can shape crypto prices and liquidity. It recommends comparing crypto returns with inflation measures and traditional markets using rolling correlations and regression, since Bitcoin may…

CryptoMulti-assetStatisticsRisk management
SuperMind

The article proposes finding unusually large price moves across a range of lookback lengths, rather than relying on a single fixed period such as the conventional RSI or Bollinger Band settings. It estimates volatility from prior chart data, measures moves…

Technical indicatorsVolatilityMean reversionForex