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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

79,386 documents

SuperMind

The document describes a Chinese equity strategy that first screens for companies with high dividend yields, PEG below one, and share prices between 3 and 15, then selects stocks with market capitalizations below 10 billion yuan. It frames these rules as a…

EquitiesFactor investingChina marketsBacktesting
ProRealCode

RocketRSI is described as a variant of the Relative Strength Index that accumulates upward and downward changes in a filtered price momentum series instead of relying on averaged gains and losses. A Super Smoother filter is applied first, and the resulting…

Technical indicatorsMomentumVolatility
MQL5 code base

Variable Index Dynamic Average (VIDYA) is presented as an exponential moving average whose effective smoothing changes with market volatility. The indicator uses the Chande Momentum Oscillator (CMO) as its volatility measure, so its response can vary with…

Technical indicatorsVolatility
BigQuant

This equity factor study measures buying and selling pressure through the amount of time a stock spends at different positions within its recent price range. It first normalizes price between the interval’s high and low to obtain relative price position…

China marketsEquitiesFactor investingTechnical indicators
MQL5 code base

This document describes an Expert Advisor that trades from the Loco indicator. It checks for a change in the indicator’s icon color when a bar closes and uses that change to form a signal. The text does not explain how the indicator calculates its color, how…

ForexTechnical indicatorsBacktestingExecution
BigQuant

This Chinese equity research note develops industry-rotation signals from several types of institutional money flow. It treats a flow source as useful when its derived signals show a reasonably orderly relationship across ranked groups and a tolerable…

China marketsEquitiesFactor investingPortfolio construction
TqSdk

This TqSdk guide explains how to run timed actions inside the main loop driven by wait_update, rather than pausing the program with a separate sleep loop. For actions tied to the trading session, it recommends checking the market timestamp in quote.datetime,…

ExecutionFuturesRisk management
MQL5 code base

This indicator overlays two colored channels derived from standard deviations of the High and Low values of smoothed indicator candles. Its parameters control the JMA smoothing depth and phase, a point gap to ignore, and the Bollinger-style calculation…

Technical indicatorsVolatility
SuperMind

This stock-selection recipe screens mainland China main-board shares using three conditions: RSI below 65, a daily gain above 1%, and a 9:25 change below 6%. The author presents the RSI threshold as a way to find shares with room to rebound, the positive…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This indicator defines a breakout system using a channel built from High and Low price series processed with the JFatl_Digit algorithm. When price moves outside the gray channel, bars change color to show the trend direction: blue for rising prices and red…

Technical indicatorsBreakout
TqSdk

This code describes a mean-reversion strategy for the spread between Dalian Commodity Exchange coke and coking coal futures. It calculates a weighted value spread using contract prices, contract multipliers, and a specified leg ratio, then estimates the…

FuturesCommoditiesPairs tradingMean reversion
BigQuant

This Chinese-language post introduces a custom-coded stock selection strategy on the BigQuant platform. It says the strategy combines five selection rules, mainly seeking stocks that have fallen sharply and begun to stabilize, while also attempting to…

EquitiesChina marketsFactor investingBacktesting
Amberdata research

The analysis compares Binance BTC/FDUSD order book behavior around six 2025 Federal Open Market Committee decisions: five rate holds and one cut. It tracks five-minute averages of volatility, bid-ask spread, depth, order book imbalance, and pressure…

CryptoMarket microstructureVolatilityExecution
BigQuant

This Chinese-language post describes a stock selection screen combining three conditions: RSI below 65, the day’s volume above 1.05 times the prior day’s volume, and the absolute move from the previous close to the opening price below 6%. It frames the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The report presents a framework for dynamically adjusting multi-factor portfolio weights by forecasting factor returns and their covariance. It replaces unconditional expectations with conditional expectations based on external market variables, allowing…

EquitiesFactor investingPortfolio constructionBacktesting
MQL5 code base

This indicator combines a Laguerre RSI with a Laguerre filter signal line, keeping the calculation within a single indicator family. It can also display a no-trade zone intended to flag ranging markets where trading may be better avoided. A configurable…

Technical indicatorsMean reversionTrend following
SuperMind

The document presents a Chinese equities screening idea focused on beverage manufacturing stocks. It filters for turnover rates between 3% and 12% and a ratio of outside to inside trading volume above 1.3, with the sector described as having active beverage…

EquitiesChina marketsTechnical indicatorsPosition sizing
MQL5 code base

This document describes a visual indicator that summarizes the direction of a ColorStepXCCX oscillator across ten timeframes. It colors each timeframe square green when the oscillator is rising, pink when it is falling, and gray when neither direction…

Technical indicatorsTrend following
BigQuant

The note recasts a past trading approach as a daily double moving average strategy, using crossovers as signals. The author reports that this approach produced losses over several consecutive years, offering a cautionary personal outcome rather than a…

Technical indicatorsTrend followingBacktesting
SuperMind

The document presents a short-term stock screen combining daily price range, positive large-order net volume over several consecutive days, and a stock-code prefix. Its stated final conditions are amplitude above one, net volume above 0.05 for at least three…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This short Chinese-language Q&A explains the delayed-entry setting in factor analysis. The setting shifts the point at which stocks are purchased based on factor values by a specified number of days. The question concerns a one-day rebalance cycle and asks…

Factor investingBacktesting
MQL5 code base

The document describes a chart indicator that identifies candles matching user-defined conditions and marks buy or sell signals. Its filters include candle direction, minimum high-to-low range, minimum body-to-range ratio, and separate upper- and lower-wick…

Technical indicators
BigQuant

The document describes adding a custom Rank Information Coefficient module to a stock-ranking strategy. The module reports average RankIC separately for the training set and the test set, providing a way to assess how well a model’s rankings align with…

EquitiesMachine learningStatisticsBacktesting
SuperMind

This proposed Chinese stock screen combines turnover between 3% and 12% with a positive product of the day’s price change and net large-order flow, plus daily position growth above 5%. The article presents the product as a way to relate the direction of…

EquitiesChina marketsMarket microstructureMomentum