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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

This beginner overview introduces chart displays used in cryptocurrency technical analysis. It contrasts a simple price line with candlesticks, explaining how candle bodies show open and close while wicks mark the period's extremes. It recommends starting…

CryptoTechnical indicatorsTrend following
Bitget Academy

The article frames weakness in technology share prices despite strong reported earnings and capital spending as a possible repricing of AI expectations. It summarizes four downside risks attributed to Nomura, including semiconductor overcapacity following…

EquitiesTechnical indicatorsTrend followingVolatility
Bitget Academy

The document explains the Alligator indicator as three smoothed, forward-shifted moving averages with different speeds: the jaw, teeth, and lips. It uses their arrangement and separation to describe three market conditions: tangled lines indicate…

Technical indicatorsTrend followingBreakoutRisk management
Bitget Academy

The document introduces automated commodity trading advisor strategies through two indicator-based bot types. The MACD bot is described as a trend-following approach: it uses moving-average convergence and divergence signals, buying on bullish crosses and…

Technical indicatorsTrend followingVolatilityBacktesting
Bitget Academy

The document explains the KD, or stochastic, indicator as a fast K line and a smoother D line, with common interpretations of overbought and oversold levels and bullish or bearish crosses. Its main warning is that these levels can persist during strong…

Technical indicatorsTrend followingMomentum
Bitget Academy

The article explains simple moving averages and variants including exponential, weighted, smoothed, and volume-weighted averages. It describes how lookback length affects smoothness and sensitivity, and how chart settings can change the timeframe, source…

Technical indicatorsTrend followingMomentumCrypto
Bitget Academy

The document presents a bearish XAUUSD view tied to inflation, energy prices, Treasury yields, Federal Reserve expectations, and upcoming CPI and testimony events. Its technical case uses a bearish Guppy Multiple Moving Average alignment, a descending…

CommoditiesTrend followingTechnical indicatorsBreakout
Bitget Academy

The article proposes assigning separate roles to three automated crypto approaches: recurring purchases for long-term accumulation, spot grid bots for choppy markets, and futures grid bots for tactical directional trades or hedging. It illustrates a neutral…

CryptoGrid tradingTrend followingPosition sizing
Bitget Academy

The article groups technical indicators into trend, momentum, volume, and volatility tools, and explains the kind of information each category can provide. Moving averages can help identify trend direction, RSI and similar measures can inform timing, volume…

Technical indicatorsTrend followingMomentumVolatility
Bitget Academy

The guide explains Parabolic SAR as a visual tool for managing exits in an established trend. Dots below price are presented as trailing stop levels for long positions, while dots above price serve the corresponding role for shorts. As the trend continues,…

Technical indicatorsTrend followingRisk management
Bitget Academy

The document compares four trading styles by holding period, trading frequency, screen time, and the kind of market movement each trader monitors. Position traders hold larger holdings over longer periods and focus on broad risk and hedging. Swing traders…

CryptoTrend followingRisk management
Bitget Academy

This guide explains the triple exponential moving average (TEMA) as a trend indicator designed to reduce the lag associated with conventional moving averages. It describes two uses: replacing standard averages in a dual moving-average crossover, with 20- and…

Technical indicatorsTrend followingBreakoutMomentum
Bitget Academy

This interview presents investor Frank’s approach to U.S. equities and crypto across several market cycles. For stock selection, he prioritizes industry position, competitive advantage, revenue and earnings growth, and guidance, using valuation multiples as…

EquitiesCryptoTrend followingRisk management
Bitget Academy

The document surveys Bitcoin investing approaches, from fixed-interval dollar-cost averaging and long-term holding to value averaging, portfolio allocation, swing trading, trend following, cycle-based decisions, and yield products. It links strategy choice…

CryptoTrend followingTechnical indicatorsRisk management
Bitget Academy

The article discusses how Middle East conflict may affect safe-haven demand in foreign exchange and gold. It cites a reported 16-month high in speculative net long US dollar positioning and 13 consecutive weeks of dollar buying, then argues that…

ForexCommoditiesTrend followingBreakout
Bitget Academy

The article defines bull markets as sustained advances often associated with economic strength and investor confidence, and bear markets as prolonged declines accompanied by weakening confidence and selling. It gives selected historical Bitcoin price…

CryptoTrend followingMomentumRisk management
Bitget Academy

The article explains a discretionary trend-following approach that uses Fibonacci retracement levels to locate possible entries after a strong price move. For an uptrend, the trader draws the tool from the rally’s low to its high and watches the 0.382, 0.5,…

Technical indicatorsTrend followingRisk managementBreakout
Bitget Academy

The article explains moving averages as smoothed measures of recent closing prices that can help identify trend direction. It contrasts the simple moving average, which weights observations equally, with the exponential moving average, which gives more…

Technical indicatorsTrend followingMomentumForex
Bitget Academy

This beginner guide presents technical analysis as a way to assess current probabilities rather than predict prices with certainty. It discusses support and resistance, breakouts, price channels, and retracements, while recommending patience and regularly…

CryptoTechnical indicatorsRisk managementPosition sizing
Bitget Academy

The article explains the Bitcoin bull market support band as a pair of weekly moving averages: the 20-week simple moving average and the 20-week exponential moving average. It presents the band as a broad trend filter: trading below it has historically…

CryptoTechnical indicatorsTrend followingMomentum
Bitget Academy

This document outlines a trend-following approach for gold, equity indices, crude oil, and major forex pairs. It uses the 20, 50, and 200 exponential moving averages to define direction: bullish or bearish alignment requires price and the averages to be…

CommoditiesEquitiesTrend followingTechnical indicators
Bitget Academy

The document proposes a trend-following method that tracks two groups of moving averages: a faster group using periods 4, 7, 11, 14, and 17, and a slower group using periods 30, 35, 40, 45, and 50. It treats tightly clustered, flat averages as a…

Technical indicatorsBreakoutTrend followingRisk management
Bitget Academy

The article explains that Bitcoin halvings cut the block reward by half about every 210,000 blocks, reducing the rate of new issuance. It estimates the next halving will occur around March or April 2028, while acknowledging that variable block times make the…

CryptoTrend followingRisk management
Bitget Academy

The document explains automated crypto trading bots and gives two indicator-based approaches. Its MACD example uses moving average crossovers to enter and exit long or short positions, aiming to participate in directional markets. Its Bollinger Bands example…

CryptoTrend followingMean reversionTechnical indicators