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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

29,558 documents

SuperMind

This screening rule selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day's exchange activity list, and a price-to-earnings ratio below 20. The stated rationale is to combine a moderate level of trading activity…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

This stock selection idea combines a price range condition, sustained profitability, and a recent price high. It seeks shares whose high-to-low movement exceeds a volatility threshold, whose return on equity stayed above 15% for five consecutive years, and…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This post outlines a Chinese-market stock screen that targets companies associated with the metaverse concept. It combines a rising 30-day moving average with a close above the previous session’s low. The article supplies indicator logic and a Python…

EquitiesChina marketsTechnical indicatorsMomentum
Kraken Learn

This brief overview presents cryptocurrency volatility as a source of both opportunity and substantial downside. It notes that rapid price moves can contribute to investors losing some or all of their capital over a short period, so exposure needs to be…

CryptoVolatilityPosition sizingRisk management
SuperMind

This article proposes screening Chinese stocks using three conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and a signal derived from beverage and alcohol import-export data. It describes the crossover as a possible sign of…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

The BHS Expert Advisor uses an adaptive moving average (AMA) and nearby round-number prices to choose an initial pending order. When the current bar's close is above the indicator, it places a Buy Stop at the next upper round price; when the close is below,…

ForexTechnical indicatorsExecutionRisk management
SuperMind

This post describes a stock screen using three conditions: amplitude above a threshold, a current-day maximum decline between the stated percentage bounds, and a previous session that was not limit-up. It provides a formula reference and a Python example…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document presents a proposed screen for Chinese equities that combines a daily-range condition, a dividend payout ratio above 25% for 2019, and alignment among multiple moving averages. It explains the intended rationale as combining price volatility,…

EquitiesChina marketsTechnical indicatorsFactor investing
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
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
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
FMZ forum

This collection of short anecdotes illustrates common pitfalls in statistical reasoning. The stories contrast an average river depth with local danger, show how a high-accident location can be misread as a reason to speed through it, and use a pair of…

StatisticsRisk management
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 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
Lumibot

The document explains LumiBot's full-fill lifecycle callback, which runs after the broker reports that an order has been completely filled. The callback supplies the updated position, the filled order, fill price, quantity, and an options multiplier. It…

ExecutionRisk management
pysystemtrade

This configuration module sets parameters for a fast mean-reversion futures strategy and derives operating bounds for its estimated price range, R. It estimates that range from hourly high-low data: zero ranges are discarded, a rolling average is taken, and…

FuturesMean reversionVolatilityRisk management
FMZ guides

The guide describes two ways to protect exchange credentials used by the FMZ trading platform. It says sensitive account data and encrypted strategy parameters are encrypted in the browser and stored encrypted. It also advises keeping sensitive material out…

Risk managementExecution
SuperMind

This article outlines a Chinese equity screen combining a prior session’s high-low range greater than 1% with an opening price near the 10-day moving average. It adds a company-characteristics filter, suggesting traits such as growth or dividend profile, and…

EquitiesChina marketsTechnical indicatorsBreakout
MQL5 code base

This script places a configurable sequence of pending orders above the current price. Inputs control the initial gap, spacing between orders, order type, number of orders, trade volume, stop loss, and take profit. The example uses buy-stop orders on AUDCAD,…

ExecutionGrid tradingForexRisk management
SuperMind

This article describes a short-term stock screen that combines daily amplitude above 1, a daily loss between 4% and 5%, and a “round arc” chart pattern. It presents the pattern as a way to identify possible support and resistance areas, while the amplitude…

EquitiesTechnical indicatorsVolatilityRisk management