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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

31,205 documents

SuperMind

This note describes a Chinese equity screen using three conditions: amplitude above 1, a KDJ value below 20, and at least one daily gain of 10% or more during the previous 25 trading days. It sketches implementations in a charting formula and Python, using…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screen selects stocks with RSI below 65, turnover between 3% and 12%, and a rising 30-day moving average. It combines a momentum or price-condition filter with a liquidity range and a trend condition, with the stated aim of favoring…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

This MetaTrader expert advisor applies a simple perceptron to three forex symbols: EURUSD, GBPJPY, and AUDNZD. At a synchronized new bar, it evaluates selected values from the Acceleration/Deceleration oscillator and combines them with four parameter-derived…

ForexMachine learningTechnical indicatorsPosition sizing
SuperMind

This Chinese equity screening rule combines a daily turnover range of 3% to 12%, appearance on the prior day’s trading leaderboard, and buy volume from large and extra-large orders during the opening auction above 7 million. The stated rationale is to use…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

This document proposes selecting Chinese stocks with a minimum amplitude, more than a year of listing history, and signs of institutional buying. The indicator example combines a recent price-change measure, a five-period money-flow sum, a ranked…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document presents a short-term stock-selection screen combining intraday amplitude, a price-position condition described as a rounded arc, and increasing volume totals over progressively longer recent windows. Its example formula compares recent…

EquitiesTechnical indicatorsMomentumChina markets
OctoBot

This document explains OctoBot’s evaluator layer, which computes trading signals and routes them to strategies and trading modes. It distinguishes evaluators triggered by closed candles, forming candles, external social feeds, user scripts, and strategy…

CryptoTechnical indicatorsExecutionBacktesting
MQL5 code base

This document describes an Expert Advisor for MetaTrader 5 that uses signals from a BuySell semaphore indicator. It opens a trade when a bar closes and the indicator reverses direction, indicated by a color change and a large colored square. The document…

ForexTechnical indicatorsBacktesting
SuperMind

This post describes a mainland Chinese stock selection rule combining an RSI reading below 65, a daily gain greater than one percent, main-board membership, and a newly formed KDJ bullish crossover. It frames the filters as a way to find stocks with a…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post outlines a Chinese equity screen for companies below a stated market-cap ceiling that report no losses. It also filters for daily price range above a threshold and excludes stocks that closed at the daily limit on the previous day. The suggested…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

MinPriceChange is an indicator for identifying a possible transition from a flat market into a breakout or reversal. It sums bar-to-bar close changes over a configurable period, then compares the current sum with sums from an earlier lookback. A new signal…

Technical indicatorsBreakoutTrend following
SuperMind

This Chinese-language post proposes a technical screen for mainland Chinese stocks. It selects shares with daily high-to-low amplitude above one percent, at least one limit-up event during the prior 25 trading days, and at least two limit-up events within…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document outlines a stock-selection screen for metaverse-related companies. It combines a positive institutional-flow condition with a weekly moving-average crossover, where the five-week average rises above the ten-week average. It gives example…

EquitiesChina marketsTrend followingTechnical indicators
MQL5 code base

The document presents a swing-point detector based on pullbacks rather than fixed candle patterns such as three-bar fractals. While searching for a high, it tracks the highest high and the low of the candle that set it; the high is confirmed when price…

Technical indicatorsBreakoutTrend following
MQL5 code base

This expert advisor demonstrates using Wilder’s Parabolic Stop and Reverse as a trailing stop for existing positions. On each new bar, it updates the stop level toward the position’s favorable price extreme. The acceleration factor rises in fixed increments…

Technical indicatorsTrend followingRisk managementPosition sizing
MQL5 code base

This charting script marks the Sydney, Tokyo, London, and New York forex sessions with colored rectangles. Users set each session’s opening hour and duration, allowing past session windows to be overlaid on price data. The colored regions can help traders…

ForexVolatilityTechnical indicators
MQL5 code base

This brief description presents a candle-based indicator that tracks runs of candles moving in the same direction. When several consecutive candles share a direction, it colors the current candle to match that direction, making the sequence easier to see on…

Technical indicatorsMomentum
SuperMind

This Chinese stock-screening note describes selecting companies in the metaverse industry whose opening price is near the 10-day moving average and whose indicated gain at 9:25 is below 6%. It presents the opening-price relationship and premarket move as…

EquitiesTechnical indicatorsChina markets
SuperMind

The document presents a stock-selection idea based on a reported buying-interest measure above 5%, a price below 12, and an upward-sloping 30-day average. It describes these conditions as a way to find lower-priced stocks with buying demand and a rising…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document outlines an A-share stock screen combining a 14-period RSI below 65, positive net profit growth between 20% and 100%, and a positive 10-day price change capped at 35%. Its SQL example adds further filters, including positive net profit, exchange…

EquitiesChina marketsMomentumTechnical indicators
Stratmill research code

This document describes helper calculations commonly used to construct quantitative signals from price or other tabular time series. Its functions cover rolling sums, averages, standard deviations, correlations, covariances, ranks, products, extrema,…

Technical indicatorsStatistics
SuperMind

This Chinese-language post presents an A-share screening rule combining metaverse-sector membership, a circulating market capitalization threshold, and a set of price conditions involving the current and previous daily candles. The conditions require the…

EquitiesChina marketsTechnical indicators
SuperMind

The proposed Chinese equity screen selects stocks with an amplitude above one, excludes those that closed at the prior day’s upper limit, and requires the prior day’s 9:15 matching price to be at the lower limit. The stated rationale is that a sharp downside…

EquitiesChina marketsMean reversionTechnical indicators