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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

The document describes a Chinese stock-selection screen combining turnover, order-flow imbalance, and positive returns. Its stated selection logic looks for stocks with turnover between 3% and 12%, an external-to-internal volume ratio above 1.3, and positive…

EquitiesChina marketsTechnical indicatorsMarket microstructure
MQL5 code base

The document clarifies why a chart may show two values for the MESA Adaptive Moving Average (MAMA). It identifies the second value as the Following Adaptive Moving Average (FAMA), a companion average associated with John Ehlers. The two values are used…

Technical indicatorsTrend following
MQL5 code base

This document describes an Expert Advisor that acts on signals from a technical indicator called Stalin. A trade signal is generated when a colored arrow appears at the close of a bar, so the system’s entries depend on the indicator’s plotted direction cues.…

ForexTechnical indicatorsBacktesting
SuperMind

This stock screen selects shares with an amplitude above one, a price average above the five-day moving average, and high current-day auction turnover, retaining the top five by turnover. The article interprets the amplitude filter as a way to find volatile…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese equity screen combines a positive MACD reading with positive price change and positive large-order net buying. It also limits candidates to companies with market capitalization at or below 10 billion yuan and positive profit. The article frames…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening strategy selects robot-concept stocks with a turnover rate between 3% and 12%, a circulating market value below 10 billion yuan, and prior-session opening-auction turnover above 0.26. The article suggests the auction activity…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document describes a simple indicator intended to assess autocorrelation in a price series. Positive readings are presented as signs of more directional movement, which might accompany a developing trend or a possible reversal. Negative readings are…

Technical indicatorsStatistics
MQL5 code base

The document briefly introduces the Keltner channel as an indicator whose upper and lower boundaries depend on a multiplier and a chosen measure of range. It identifies two calculation approaches: averaging candle-body size or using average true range data.…

Technical indicatorsVolatility
SuperMind

The document outlines a daily stock screen that requires price range to exceed one percent of the prior close, a positive price-to-earnings ratio, and a rising 30-day moving average. It interprets these conditions as combining recent trading activity,…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This document describes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and a weekly close crossing above its 30-week moving average. It presents the moving-average cross as a way to…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This proposed Chinese stock screen focuses on companies classified in the metaverse theme. It requires the current close to be above the five-day moving average and applies a prior-session price-change filter intended to exclude stocks that closed at the…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This short description introduces the Fisher Transform, an indicator developed by John Ehlers. It says the indicator tracks current market movement and that its plotted levels may serve as potential turning points. The stated directional reading is simple: a…

Technical indicatorsMomentumStatistics
SuperMind

The post outlines a Chinese equity screening idea that combines at least five overlapping moving averages, company or industry characteristics, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets moving average overlap as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock screen selects shares whose daily amplitude exceeds a threshold, whose price is above the five-day moving average, and whose prior session was not a limit-up day. The article frames a larger daily range as potentially useful for short-term trading…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The proposed screen seeks Chinese stocks with turnover between 3% and 12% and a positive gain below 35% over ten days, then looks for three technical indicators to cross upward at the same time. The accompanying formula describes rising 12-period and…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This indicator draws two colored filled rectangles on a selected bar to show the space between two Keltner channel values. Its configurable inputs include the smoothing method and length, two deviation ratios, the applied price, band colors, the bar used for…

Technical indicatorsVolatility
SuperMind

This document describes a Chinese stock selection rule combining daily price range, recent limit-up activity, and a long-term moving average. Stocks enter the candidate pool when their amplitude exceeds 1%, at least one limit-up occurred in the prior 25…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This brief note describes a non-averaged, three-line trading indicator whose arrays are displayed as separate lines. Its updated version removes the period input, leaving no user-set formation parameters. The signal guidance centers on a yellow line moving…

Technical indicatorsTrend followingRisk management
SuperMind

This stock-screening proposal combines three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and a rising KDJ component. It presents these as filters for stocks with moderate momentum, buying pressure, and…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This post describes a Chinese main-board stock screen requiring turnover between 3% and 12%, a daily gain above 1%, and a nonempty name for an outstanding convertible bond. It presents the bond-linked filter as a way to identify companies with…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This post presents a stock screen using three conditions: daily price range above 1%, positive price-to-earnings ratio, and a ten-day return above zero but below 35%. The intended rationale is to find profitable companies showing recent gains and active…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed stock screen combines a daily turnover rate between 3% and 12%, a positive product of daily price change and large-order net flow, and a 2019 dividend ratio above 25%. The article frames turnover as a measure of market activity and the…

EquitiesChina marketsTechnical indicatorsRisk management