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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

8,851 documents

Bitget Academy

The tutorial presents MACD as a way to combine trend context with momentum cues. It explains the zero line, the faster and slower MACD lines, and the histogram, then cautions that trading line crossovers alone can produce poor signals in consolidating…

Technical indicatorsMomentumTrend following
Bitget Academy

The article explains RSI as a momentum oscillator, commonly calculated over 14 candles, and cautions against treating readings above 70 or below 30 as automatic reversal signals. In strong directional markets, RSI can remain in an extreme zone while price…

Technical indicatorsMomentumTrend following
Bitget Academy

The document explains gold price sensitivity to interest rates, inflation, the U.S. dollar, geopolitical risk, central bank demand, and recession expectations. It contrasts gold with cryptocurrencies on liquidity, volatility, market structure, trading hours,…

CommoditiesEvent-drivenTrend followingRisk management
Bitget Academy

The article reviews several ways to approach a crypto bear market: holding assets, staking, accumulating through staged purchases, and trading futures. It explains that holding and staking remain exposed to the coin’s price, while staking also adds custody…

CryptoFuturesSpot marketsTrend following
Bitget Academy

This beginner guide explains three basic chart concepts. Support is an area where buying may slow a decline; resistance is an area where selling may stall a rise. A trendline connects price swings to help describe direction: higher lows suggest an uptrend,…

Technical indicatorsTrend followingBreakoutRisk management
Bitget Academy

This document lays out a rules-based trend-following approach for forex, gold, and indices. It combines a 20-period and 50-period exponential moving average to establish direction with a 14-period RSI to assess momentum on hourly or four-hour charts. A…

ForexTrend followingMomentumTechnical indicators
Bitget Academy

The article describes a long-only breakout approach that tracks two ribbons of moving averages: a fast group with periods 4, 7, 11, 14, and 17, and a slower group with periods 30, 35, 40, 45, and 50. It treats tightly clustered averages during a decline or…

Technical indicatorsBreakoutTrend followingRisk management
Bitget Academy

The analysis links gold’s short-term weakness to hawkish Federal Reserve comments, rising rate expectations, and a stronger US dollar. It reports declines in spot gold and gold futures, and notes that geopolitical risk and elevated oil prices could still…

CommoditiesFuturesTechnical indicatorsTrend following
Bitget Academy

The article combines a macroeconomic scenario analysis with chart-based trading ideas for the S&P 500. It presents a market caught between AI-related technology demand and the risk that persistent inflation could keep Federal Reserve policy restrictive. Its…

EquitiesUS marketsTrend followingBreakout
Bitget Academy

The article outlines bull and bear market characteristics across equities and crypto, including price trends, investor sentiment, economic conditions, and technical signals. It describes moving-average crosses, RSI, price structure, trading volume, and…

Multi-assetTrend followingMomentumTechnical indicators
Bitget Academy

The document explains how CFD traders can use TradingView charts to assess price structure, switch timeframes, add common indicators, and plan entries and exits. Its suggested process starts with daily or four-hour charts to classify the broader trend, marks…

Technical indicatorsBreakoutRisk managementTrend following
Bitget Academy

The article describes seven AI trading agents and the strategies they are said to represent. The approaches include hedged long-short positioning, relative momentum among major coins, momentum in altcoins, trend following, grid trading, reversal attempts…

CryptoMomentumTrend followingMean reversion
Bitget Academy

The article describes a discretionary approach that compares crypto prices with a long-term linear regression line and its standard-deviation bands. For an asset viewed as fundamentally sound and rising over time, it suggests accumulating below the…

CryptoTechnical indicatorsStatisticsMean reversion
Bitget Academy

The article outlines several ways to configure Bitget futures grid bots: use a trailing range to keep a long grid active as prices rise; wait for a breakout pullback or retest before launching a grid; and place a smaller short grid above a long grid as a…

CryptoFuturesGrid tradingTrend following
Bitget Academy

The document explains Williams %R as a fast oscillator for short-term trading. It describes its inverted scale, with values near zero labeled overbought, values near minus one hundred labeled oversold, and the midpoint used to gauge momentum. It warns that…

Technical indicatorsTrend followingMomentumBreakout
Bitget Academy

The article presents the Average Directional Index as a measure of trend strength, with the +DI and -DI lines used to indicate the balance of upward and downward directional movement. Its core use is to filter breakout or crossover signals when the market…

Technical indicatorsTrend followingBreakoutRisk management
Bitget Academy

The document describes automated spot and futures bots that use technical indicators to generate and execute crypto trades. It discusses MACD crossovers as trend signals and Bollinger Bands as a way to trade in range-bound conditions, including long and…

CryptoTrend followingTechnical indicatorsBacktesting
Bitget Academy

This overview compares five approaches to Bitcoin trading. Trend following seeks to participate in sustained price moves, while swing trading looks for entries around pullbacks, pauses, or reversals within broader moves. Scalping targets small price changes…

CryptoTrend followingMomentumArbitrage
Bitget Academy

The article presents multi-timeframe analysis as a way to combine directional context from a higher timeframe with entry timing on a lower timeframe. Its example establishes a bullish bias from the daily chart using moving averages and MACD, then waits on a…

Technical indicatorsTrend followingMomentumRisk management
Bitget Academy

This short introduction names technical and fundamental analysis as different approaches, then describes three common price-based indicators. A simple moving average is presented as a way to identify potential support and resistance areas that traders may…

Technical indicatorsTrend followingCrypto
Bitget Academy

The document introduces the Momentum indicator, or MTM, as the difference between the current closing price and the close from a selected number of periods earlier. It presents two ways to read the indicator: a crossover of its zero line as a possible signal…

Technical indicatorsMomentumTrend followingStatistics
Bitget Academy

The article links a sharp decline in gold CFDs to stronger US payroll data, rising Treasury yields, and dollar strength. It explains the opportunity cost of holding a non-yielding asset and describes how long-position exits, short selling, and stop-loss…

CommoditiesTrend followingTechnical indicatorsRisk management
Bitget Academy

The article frames Brent crude as a contest between supply disruption risks from Middle East conflict and a possible price reversal if diplomacy reduces the geopolitical risk premium. It describes a TACO Index attributed to a consulting firm, said to combine…

CommoditiesTechnical indicatorsBreakoutTrend following
Bitget Academy

The article presents a bullish view of the Dow, linking its recent strength to improving technology-sector sentiment and anticipation of Federal Reserve meeting minutes. Its technical case cites an upward alignment in the Guppy Multiple Moving Average…

EquitiesUS marketsFuturesTrend following