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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
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

31,205 documents

MQL5 code base

This document describes an expert advisor that offers several ways to move a stop as a trade progresses. The stop can follow price by a fixed point distance or use Parabolic SAR, ATR, moving averages, candlestick patterns, or fractals. It can also be set as…

Risk managementExecutionTechnical indicatorsBacktesting
SuperMind

This Chinese stock-screening proposal selects equities with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and at least one daily gain of 10% or more during the preceding 25 sessions. It gives equivalent descriptions in…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This document describes a variation on MACD that substitutes double exponential moving averages for the usual exponential moving averages. It also replaces a single signal line with two discontinued signal lines, which the author presents as levels that may…

Technical indicatorsMomentum
MQL5 code base

This indicator utility helps programmers inspect values supplied through an OnCalculate call. It displays the most recent, previous, and first observed values, along with whether parameter arrays use series indexing. Users can change the series setting…

Technical indicatorsExecution
SuperMind

This note describes an A-share stock-selection rule combining turnover between 3% and 12%, three consecutive declining sessions, and a close above the prior day's low. The intended pattern is a short-term pullback followed by a close recovering above a…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This note outlines an A-share stock screen based on a daily price range above 1%, excluding Beijing-listed shares, requiring a specified reversal or engulfing pattern, and capping circulating market value at 10 billion yuan. It provides formula and Python…

EquitiesTechnical indicatorsChina marketsRisk management
MQL5 code base

Smooth Candle S is a chart indicator that plots four moving averages derived from the open, low, high, and close prices of each candlestick. It provides a way to smooth each component of the candle separately, allowing traders to view a filtered…

Technical indicatorsEquities
SuperMind

This note describes a short-term A-share stock screen combining turnover, the opening price relative to the 10-day moving average, and the day's low relative to the previous day's low. It selects stocks with turnover between 3% and 12%, an open within 5% of…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This Chinese stock-screening proposal combines three technical conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and weekly MACD above its zero axis. The explanation treats a larger daily range as evidence of volatility, the…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, membership in the robotics concept, and float market capitalization below 10 billion yuan, while excluding the STAR Market. The post frames the constraints as a way to narrow the…

EquitiesChina marketsRisk managementTechnical indicators
SuperMind

This proposal screens Chinese stocks using three conditions: daily high-low amplitude above 1%, a reversal or “wrap-up” pattern, and a 2019 dividend ratio above 25%. Its indicator reference defines the amplitude threshold as a one-percent range and describes…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This Chinese A-share screening proposal combines a recent price-limit event with industry filters. Its stated rule looks for stocks in the metaverse sector that had a limit-up within the prior 25 days and are classified under a beverage and alcohol…

EquitiesMomentumChina marketsTechnical indicators
ProRealCode

This indicator turns confirmed swing highs and lows into support or resistance zones, then ranks the zones to reduce chart clutter. Pivots must clear a minimum displacement relative to ATR; each accepted pivot becomes a band whose width is also tied to ATR.…

Technical indicatorsStatisticsRisk managementTrend following
MQL5 code base

The MACD Squeeze indicator adapts the squeeze concept to a MACD histogram. It identifies a potential trading zone when Bollinger Bands contract inside Keltner Bands, using the compression as a condition for deciding when to focus on the MACD signal. The…

Technical indicatorsVolatilityMomentum
ProRealCode

This five-minute EURUSD strategy combines a stochastic oscillator with a long-term exponential moving average. A long entry requires the oscillator to remain in an oversold range across several candles, price to be above the moving average, and the…

ForexTechnical indicatorsBacktestingRisk management
SuperMind

The post outlines a Chinese stock screening idea combining a large price amplitude, a three-session limit-up sequence on the prior day, a market capitalization ceiling, and positive earnings. It proposes tightening the amplitude threshold and checking…

China marketsEquitiesBreakoutTechnical indicators
ProRealCode

The document presents the components of the Traders Dynamic Index (TDI), an indicator built from the relative strength index. It calculates a central average of RSI values, surrounds it with bands based on their standard deviation, and plots additional short…

Technical indicatorsStatistics
MQL5 code base

This document explains a custom MetaTrader 5 MACD indicator that adapts its smoothing to market conditions. It calculates the squared Pearson correlation between closing prices and bar index over a configurable lookback, then uses that value to blend two…

Technical indicatorsMomentumTrend followingStatistics
SuperMind

This document describes a Chinese stock screen combining daily price range, market capitalization, profitability, and a rising-price condition. It selects stocks with an intraday high-low range of at least 1%, market capitalization under 10 billion yuan,…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This A-share screening proposal combines daily price amplitude above 1%, an outstanding convertible-bond name, and a large reversal-style candle. The example formula treats a session as qualifying when the close is at least 5% above the open or the open is…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

The document presents an A-share screening idea combining metaverse industry classification with relative trading volume between 1.5 and 6 times a reference average. It also uses a closing-price ceiling of 18.5 and, in its final version, a…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This post describes a short-term A-share screening approach that combines daily price range, robotics-related business exposure, a circulating market-cap ceiling, and a positive recent return filter. It also proposes adding industry and valuation or…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed A-share screen combines a daily price-amplitude threshold, a morning-star pattern, and a company-type filter. The post frames it as a blend of technical and fundamental considerations, while its example defines eligible company types through…

EquitiesTechnical indicatorsRisk management