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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

FMZ forum

R-Breaker uses the previous session’s high, low, and close to calculate six reference levels for the current session. The document contrasts this setup with conventional pivot points and describes a hybrid approach: reversal trades are considered when price…

ForexTechnical indicatorsBreakoutMean reversion
MQL5 code base

This document describes a technical indicator that applies exponential moving average smoothing five times. It accepts a real-valued period and allows the resulting indicator to be shifted horizontally or vertically, giving users control over its display or…

Technical indicatorsTrend following
ProRealCode

Kaufman’s Adaptive Moving Average (KAMA) adjusts its smoothing in response to the market’s directional efficiency. The described calculation compares the absolute price change over a lookback interval with the sum of absolute one-step price changes over that…

Technical indicatorsTrend followingStatistics
MQL5 code base

The Elastic Volume Weighted Moving Average (EVWMA) is presented as a trend indicator that adapts its averaging behavior to market conditions. Instead of using a fixed averaging period, it uses volume or time, incorporating volume information into the moving…

Technical indicatorsTrend followingForex
ProRealCode

The document presents an indicator that draws Heikin-Ashi candles and marks narrow-body candles as potential dojis. It distinguishes an upward case, a downward case, and an undecided case, using the relationship between the Heikin-Ashi and regular candle…

Technical indicatorsVolatilityEquities
SuperMind

This post outlines a daily, after-close stock screen combining positive MACD conditions with beverage import and export data, then ranking qualifying shares by market attention. Its rationale is that MACD may indicate upward momentum, while attention and…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese-language post proposes a daily stock screen combining price amplitude above 1%, a controlling-shareholder measure above 21%, and an upward relationship between short and longer moving averages. Its examples describe the moving-average condition…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes an A-share momentum screen requiring turnover from 3% to 12%, a rising DEA indicator, and a daily price gain above 1%. Its stated rationale is to combine recent price direction with a turnover filter representing trading activity. It…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document presents an A-share stock screen requiring turnover between 3% and 12%, seven consecutive daily declines, and a weekly price crossover above a 30-week reference line. It combines a trading-activity filter with a short-term losing streak and a…

EquitiesTechnical indicatorsChina markets
SuperMind

This document describes a daily A-share screening rule combining a positive MACD condition, a share price below 12 yuan, and a maximum daily decline between 4% and 5%. It says to run the screen before 10 a.m. each trading day. The intended idea is to combine…

EquitiesTechnical indicatorsChina markets
MQL5 code base

The document describes OsmaX, a modification of the standard MACD oscillator. It calculates fast and slow exponential moving averages from a selected price, subtracts the slow average from the fast one to form MACD, then subtracts an EMA signal line from…

Technical indicators
SuperMind

This Chinese equity screen looks for stocks whose codes begin with 60, whose daily high-to-low range exceeds 1% of the opening price, and whose weekly candle is bullish, meaning the weekly close is above the weekly open. The article’s example also sorts…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screen selects stocks associated with the robotics theme, with a stated free-float market value below 10 billion yuan and daily turnover between 3% and 12%. It also requires the current day’s low to be below the prior day’s low, then…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The ExMass indicator is presented as a tool for evaluating market fluctuations. The document identifies its author and notes that the indicator was first implemented in MQL4 and published in 2006. It provides no further explanation of the calculation, signal…

Technical indicatorsVolatility
MQL5 code base

PFE2 is described as a smooth oscillator displayed as a color histogram, intended to show current market trends. The document offers little detail about its calculation or interpretation: the original author is unknown, and no explanation of the indicator’s…

Technical indicatorsTrend following
MQL5 code base

The document presents a MetaTrader implementation of the Variable Index Dynamic Average (VIDYA). It starts with an EMA-style smoothing factor derived from the selected EMA period, then scales that factor by the absolute value of a Chande Momentum Oscillator…

Technical indicatorsMomentum
MQL5 code base

The document describes an indicator that measures upper and lower candlestick wick lengths in points and plots them in a separate chart window. It offers four display modes: show the two wick lengths separately, show only the wick opposite the candle’s…

Technical indicatorsMarket microstructure
MQL5 code base

This brief indicator description explains the Donchian channel, a technical tool built from the highest high and lowest low over a chosen lookback period. The upper band is the maximum high, the lower band is the minimum low, and the optional middle line is…

Technical indicatorsBreakout
Amberdata research

This strategy-sharing article describes an enhanced China Securities 150 equity approach that blends model-based stock ranking with technical timing. The universe is manually narrowed to roughly 100–300 large, liquid constituent-style stocks. An AI model…

EquitiesMachine learningMomentumTechnical indicators
SuperMind

This Chinese-language post outlines an equity screening idea combining daily amplitude above 1%, an opening price near the 10-day moving average, and an arc-shaped price pattern. The proposed rationale is to find stocks with meaningful movement that are near…

EquitiesTechnical indicatorsVolatility
SuperMind

This proposed equity screen combines a price range condition, sustained profitability, and a snapshot of order book demand. It selects stocks whose high minus low is at least one unit, whose return on equity exceeds 15% in each of the prior five years, and…

EquitiesFactor investingMarket microstructureTechnical indicators
MQL5 code base

This document describes an Expert Advisor that trades using the ASCtrend indicator. A signal is generated when a colored indicator point appears at the close of a bar. The system relies on a compiled indicator file and a supporting trading library, which are…

ForexTechnical indicatorsBacktesting
SuperMind

This stock screen selects shares whose daily high-low range exceeds one, whose prior-day actual turnover is between 3% and 28%, and whose opening price is near the ten-day moving average. The article frames the range and turnover filters as ways to focus on…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This stock selection proposal combines three filters: daily price range, five consecutive years of return on equity above 15%, and large-order net volume above 0.05 for at least three days. It then suggests smoothing that flow measure and requiring its…

EquitiesFactor investingTechnical indicatorsStatistics