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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
WonderTrader
14 documents
Alphalens
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

SuperMind

The document presents an A-share stock screen based on price amplitude above 1%, an available convertible-bond name, and positive returns. Its explanation frames these filters as a combination of stock movement and company-related information, and suggests…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document proposes a Chinese A-share screening rule combining a robotics concept classification, turnover between 3% and 12%, float market value below 10 billion yuan, and exclusion of Beijing-listed shares. It says the exclusion is intended to reduce…

EquitiesChina marketsFactor investingRisk management
MQL5 code base

This document introduces a chart script that supplements the standard grid with configurable horizontal price lines. Users can adjust line color, width, and spacing, while the script anchors levels to basic price increments. The stated motivation is that…

ForexTechnical indicators
MQL5 code base

This document describes a chart indicator that displays the current symbol, bid and ask quotes, swap, estimated deposit for long and short positions, floating spread, and time remaining in the current candle. It places these values in a separate chart window…

ForexExecutionMarket microstructure
MQL5 code base

This document outlines an Expert Advisor that trades signals from the BrakeExp semaphore indicator. A signal is recognized when a bar closes with an indicator color reversal accompanied by a large colored dot. The description implies entries follow this…

ForexTechnical indicatorsBacktesting
MQL5 code base

This document describes a one-shot pending-order method. At a user-configured time, the script places a buy stop and a sell stop a specified distance from the current price, with configured take-profit and stop-loss levels. When either pending order…

ForexBreakoutExecutionRisk management
MQL5 code base

Connors RSI is described as an oscillator formed by averaging three components: a conventional RSI on the chosen price, an RSI applied to the length of consecutive up or down closes, and a percentile-rank measure of recent changes. The streak component…

Technical indicatorsStatisticsEquities
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1, a three-session limit-up streak ending the previous day, and turnover between 3% and 12%. The article interprets range as a measure of volatility, the repeated…

EquitiesVolatilityMomentumChina markets
SuperMind

This Chinese equity screening idea combines RSI below 65, greater displayed buying volume than selling volume, and a rising MACD signal line, called DEA in the post. It interprets these conditions as signs of moderate RSI, stronger buying interest, and a…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This Chinese equity screening idea combines a daily turnover range of 3% to 12%, three consecutive declining sessions, and an RSI reading below 65. The stated aim is to find stocks that have recently weakened and may have further short-term downside. The…

EquitiesTechnical indicatorsChina markets
SuperMind

This A-share stock screen selects securities whose 20-day average trading volume exceeds the 120-day average, then excludes Beijing-listed A shares. The author interprets higher recent average volume as a sign of stronger capital activity and ranks…

EquitiesMomentumTechnical indicatorsChina markets
FMZ forum

The document describes a charting feature that detects technical analysis functions used by a strategy and displays the corresponding indicators after a backtest completes. Supported indicators include moving averages, MACD, KDJ, RSI, ATR, OBV, Bollinger…

BacktestingTechnical indicators
ProRealCode

The13thWarrior is a configurable chart indicator intended for short-term trading. It derives Heikin-Ashi-style open and close values, then colors candles green when the close is above the open and OBV is above its moving average, or red when both conditions…

Technical indicatorsMomentumVolatility
SuperMind

This stock screen combines turnover between 3% and 12%, seven consecutive sessions in which the close is below the open, and a 15-minute MACD histogram that is shortening. The setup seeks stocks that have fallen persistently but may be showing early signs of…

EquitiesMean reversionTechnical indicatorsRisk management
SuperMind

The document outlines a Chinese equity screening idea that selects stocks associated with the metaverse, with price amplitude above a threshold and free-float shares at or below a stated limit. It presents high amplitude as a way to find more volatile stocks…

EquitiesChina marketsTechnical indicatorsRisk management
Amberdata research

This market snapshot assesses an early-2026 crypto rally using price and volume changes alongside open interest, perpetual funding, ETF flows, stablecoin supply, orderbook depth, and volatility. It interprets rising prices, expanding open interest, positive…

CryptoPerpetual futuresMarket microstructureVolatility
Jesse

This report gives results for an hourly, long-only IFR2 strategy on ADA/USDT using Binance candles from January 2019 through April 2021. The simulation records 260 closed trades and reports a positive net result and annual return, alongside a maximum…

CryptoSpot marketsTechnical indicatorsBacktesting
BigQuant

The article presents quantitative investing as a way to replace discretionary buy and sell decisions with signals from systematic models. It attributes common retail timing mistakes to fear, greed, and reactions to market sentiment, and says rules-based…

Multi-assetStatisticsMachine learningRisk management
BigQuant

This research summary presents TS-Boost, an equity factor-selection framework designed for financial data with shifting cross-sectional patterns and low signal-to-noise ratios. Instead of pooling observations from different dates into one training set, it…

EquitiesMachine learningFactor investingStatistics
SuperMind

The post describes a stock screen using a turnover range of 3% to 12%, a ratio of aggressive buying volume to selling volume above 1.3, and a date restriction to 2021. It presents the turnover band as a way to filter trading activity and the buy-sell volume…

EquitiesMarket microstructureChina marketsTechnical indicators
SuperMind

This stock selection rule screens the metaverse industry for a newly formed KDJ bullish crossover and a close above the previous session’s low. The post frames the crossover as a possible trend reversal and the price condition as a sign of relatively…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese stock-selection proposal combines three signals: a daily increase in position share above 5%, weekly MACD above the zero line, and a rising 30-day moving average. The article interprets these as evidence of recent capital inflows and upward…

EquitiesMomentumTechnical indicators
ProRealCode

This indicator combines ZigZag swing identification with a volume-by-price calculation. For each detected price sequence, it divides the range into price bands, totals volume associated with closes in each band, and marks the highest-volume band along with…

Technical indicatorsMarket microstructure
SuperMind

This stock-selection rule screens Chinese beverage and alcohol-related companies using three conditions: turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and a reported daily control ratio above 21%. The article…

EquitiesChina marketsTechnical indicators