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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

This document describes an Expert Advisor built around a moving average with a fixed period of 55. Users can adjust its timeframe, horizontal shift, smoothing method, and applied price. The EA checks for signals only when a new bar forms and during a…

Technical indicatorsTrend followingPosition sizingBacktesting
SuperMind

This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…

EquitiesChina marketsMomentumTrend following
SuperMind

This short-term A-share screen focuses on stocks classified in the metaverse theme. It seeks names with an opening gain below 6% and a current high equal to the highest high across two days, combining a thematic universe with a near-term price strength…

EquitiesChina marketsMomentumBreakout
SuperMind

This A-share stock screen combines a range expansion condition, a Bollinger Band location filter, and a historical dividend ratio threshold. It selects stocks whose daily high-low range exceeds its 20-day average, whose close lies between the middle and…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document describes a daily stock screen for Chinese main-board shares. It selects non-ST stocks with turnover between 3% and 12%, a daily gain above 1%, and more than one year since listing. The stated rationale is to combine active trading and positive…

EquitiesChina marketsMomentumTechnical indicators
Qlib

This configuration defines a Qlib workflow for training a Temporal Fusion Transformer model on Alpha158 features for CSI 300 stocks. It sets Chinese market data from 2008 through mid-2020, using 2008–2014 for training, 2015–2016 for validation, and 2017–2020…

EquitiesChina marketsMachine learningBacktesting
OctoBot

The article compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their stated strengths, including strategy options, exchange compatibility, testing support, customization,…

CryptoMarket makingGrid tradingBacktesting
MQL5 code base

The document briefly describes a Color Schaff DeMarker Trend Cycle indicator. It characterizes the indicator as a Schaff Trend Cycle variant built from the difference between two DeMarker oscillators using different periods. This provides a high-level…

Technical indicatorsTrend followingMomentum
Qlib

This Qlib documentation describes visual reports for evaluating intraday portfolios and prediction models. Portfolio reports display benchmark and portfolio cumulative returns, returns with and without transaction costs, turnover, drawdowns, and cumulative…

BacktestingPortfolio constructionRisk managementMachine learning
vn.py community

This forum exchange addresses two practical VeighNa questions: removing subscribed market contracts and closing an open futures position. A reply says the framework does not support unsubscribing, suggesting a restart and re-adding only the desired contracts…

FuturesExecutionRisk management
ProRealCode

The Simple Decycler adapts John Ehlers’s high-pass filtering method to identify broad price trends while reducing short-wavelength fluctuations. It calculates a high-pass filter from the price series and subtracts that output from price, leaving a smoothed…

Technical indicatorsTrend followingStatistics
SuperMind

This stock-selection rule combines a 14-period RSI below 65, positive daily return, and year-over-year growth in net profit attributable to parent shareholders above 20% and at most 100%. The article presents the combination as a way to find companies with…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This screen selects stocks in the metaverse sector that recorded a limit-up event within the previous 25 days and have year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%. It also specifies selecting…

EquitiesChina marketsMomentumEvent-driven
MQL5 code base

This document describes an account dashboard for tracking five common proprietary trading challenge constraints: daily loss, maximum loss, profit target, minimum trading days, and the best-day consistency rule. It explains that loss limits can be configured…

Risk managementPosition sizingForex
SuperMind

This stock screen combines metaverse-sector membership, a prior-day turnover threshold above 8%, and a rising-bottom chart pattern. The article presents rising bottoms as a way to identify prices recovering from a low and potentially continuing upward, with…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

The document outlines a Chinese equity screening rule that combines a metaverse sector filter, a closing price above the 250-day moving average, and a positive product of price change and a large-order net-volume measure. The stated interpretation is that…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

The document describes an RSI variant that places adjustable bands around the conventional center level. It calculates the RSI from closing prices, then sets an upper and lower band by adding or subtracting a multiple of the standard deviation of the RSI…

Technical indicatorsVolatilityMean reversion
MQL5 code base

This brief description presents a variation on the stochastic indicator. Instead of relying on the usual signal line, it uses normalized zones to help identify the prevailing trend and assess how much strength may remain in a trend change. The document…

Technical indicatorsMomentumTrend following
SuperMind

This short-term stock screen combines three signals: a high-low range greater than one, a shortening negative MACD histogram on a 15-minute chart, and at least one limit-up move during the past month. The document interprets the range as a sign of…

EquitiesChina marketsMomentumVolatility
SuperMind

This screening idea combines a daily high-low range threshold, consistently strong return on equity over five years, and a filter related to the previous day’s limit-up status. The stated rationale is to pair a measure of price movement with a longer-term…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse sector. It selects stocks that experienced a limit-up move within the prior 25 days and whose current close is above the previous day’s low. The post describes selecting…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This document describes a MetaTrader 5 version of the Elliott Wave Oscillator that lets the user choose the indicator’s calculation timeframe through an input parameter. The example default is a four-hour period, allowing the indicator to be configured…

Technical indicatorsMulti-asset
SuperMind

This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…

EquitiesChina marketsTechnical indicatorsVolatility