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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

ProRealCode

The document explains a trend indicator attributed to Andrew Abraham’s 1998 article. It defines trend direction using a trailing level built from a weighted average of true range. True range is the largest of the current high-low range and the gaps from the…

Trend followingVolatilityTechnical indicatorsRisk management
MQL5 code base

The expert advisor combines MACD divergence with stochastic confirmation and Bollinger Band trade exits. For buys, the stochastic main line must be above its signal line and remain within the configured oversold range for a specified candle period. The sell…

Technical indicatorsForexRisk management
Amberdata research

This article outlines factors to assess before depositing token pairs into a decentralized exchange liquidity pool. Liquidity providers receive a share of swap fees, generally represented by redeemable pool tokens, and some pools may also distribute…

DeFiRisk managementVolatilityBacktesting
Stratmill research code

This code excerpt implements three filters intended to support spread trading and risk adjustment. The correlation filter calculates rolling correlation between the first two series, rescales it to a zero-to-one range, and uses changes in that measure to…

Pairs tradingVolatilityRisk managementBacktesting
MQL5 code base

This document outlines a proposed position-sizing engine for algorithmic trading. It combines Kelly sizing, which uses estimated win rate and payoff ratio, with volatility adjustment based on Average True Range and tick value. The stated goal is to reduce…

Risk managementPosition sizingVolatility
MQL5 code base

The Simple_Grid expert adviser places pending orders at preset intervals above and below the current price. Users choose either stop orders or limit orders, set the distance to the first order, the grid spacing, the number of orders on each side, a…

Grid tradingExecutionRisk management
MQL5 code base

This expert adviser seeks pivot points using only the current and previous bars, then enters market orders when price appears to attempt a trend reversal. It does not use technical indicators. Orders can have configured take-profit and stop-loss levels;…

Mean reversionTechnical indicatorsRisk managementPosition sizing
FMZ forum

The article explains a countertrend martingale approach in which a trader adds to a losing position at set price intervals, hoping a later reversal will recover accumulated losses. It works through a foreign exchange example with equal size additions and…

ForexMean reversionPosition sizingRisk management
SuperMind

This stock selection screen combines a recent price movement filter with listing history and trading activity. It seeks shares whose daily amplitude exceeds the stated threshold, that have been listed for more than a year, and whose previous day’s trading…

EquitiesChina marketsTechnical indicatorsRisk management
FMZ forum

This article explains why trend-following systems often endure repeated small losses in pursuit of occasional large gains. It advises traders to select a trend horizon that fits their tolerance, comparing possible timeframes through backtests, and to define…

Trend followingBacktestingRisk managementBreakout
SuperMind

This article outlines how an early-stage hedge fund or CTA can prepare to seek institutional allocations. It describes three fundraising routes: the manager’s professional network, third-party marketers, and prime brokers’ capital introduction services. It…

Multi-assetRisk management
SuperMind

This stock-selection proposal combines three filters: daily amplitude above one percent, a proxy for afternoon large-order net inflow, and a gain below six percent at the 9:25 observation. The stated aim is to find shares with notable movement and buying…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The proposed stock screen selects shares whose turnover rate is between 3% and 12%, that were listed in the current year, and whose actual turnover on the referenced prior day is between 3% and 28%. The article frames these conditions as a way to find…

EquitiesTechnical indicatorsExecutionRisk management
ProRealCode

The SSL Hybrid combines several moving average channels with ATR bands to show trend direction, possible continuation entries, exits, and volatility. SSL1 acts as the baseline trend signal: its color indicates bullish or bearish conditions, while a neutral…

Technical indicatorsTrend followingVolatilityRisk management
SuperMind

This Chinese A-share screening idea selects stocks whose intraday high-low range exceeds 1%, whose day low is between 4% and 5% below the prior close, and whose MACD is above zero. The rationale combines elevated volatility and a sharp intraday decline with…

EquitiesTechnical indicatorsVolatilityMean reversion
SuperMind

This proposed stock screen selects shares with a daily high-low range above 1, three consecutive limit-up sessions as of the previous day, and at least two limit-up events during the prior 500 days. The post interprets the range as a sign of activity and the…

EquitiesChina marketsMomentumBreakout
SuperMind

This proposed Chinese stock screen looks for a daily price range above 1, a ratio between 0.5 and 2 formed from the previous day’s turnover rate and the current auction volume relative to the previous day’s volume, and a current large-order accumulation…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This Chinese stock screen combines a positive MACD reading, an external-to-internal trading volume ratio above 1.3, and more than two limit-up days in the prior ten days. It ranks qualifying stocks by percentage gain, favoring recent price strength and…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This brief coding question outlines a way to calculate fund performance statistics from a price series. It first derives periodic returns from price changes, then uses a performance-analysis library to compute cumulative return, annualized return, Sharpe…

StatisticsRisk managementVolatility
SuperMind

This screening proposal combines three conditions: price amplitude above one, a value for today’s control measure above 21, and a date in or after 2021. The description frames the first two conditions as filters for more volatile stocks and stocks with…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This stock-screening proposal targets companies in the metaverse industry that have had more than two limit-up sessions in the recent ten-day window and have just formed a KDJ golden cross. It calls for screening before 10:00 on each trading day and…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The document explains that MetaTrader 5 exposes generic, loss-side, and profit-side tick values for each symbol, and that these values may not be identical. This matters when an expert advisor calculates trade size from a risk budget: using a tick value that…

Risk managementPosition sizingForex
SuperMind

The document proposes a Chinese equity screening approach that selects robot concept stocks with daily amplitude above 1%, float capitalization below 10 billion, and no ST designation. It specifies screening before 10 a.m. and says a five-step limit-up…

China marketsEquitiesTechnical indicatorsFactor investing