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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

9,797 documents

Strategy library

This strategy uses price crosses of VWAP to trigger directional trades and ATR to set risk and profit levels. It enters long when the close moves above VWAP after the prior close was below it, and short on the reverse cross. The source calculates a…

FuturesCryptoTechnical indicatorsVolatility
Strategy library

This strategy uses short-term RSI pivot divergences to identify possible reversals, with a longer-term RSI condition to filter entries. Regular bullish divergence occurs when price makes a lower low while RSI makes a higher low; hidden bullish divergence…

CryptoFuturesTechnical indicatorsRisk management
Strategy library

This basic trend-following strategy calculates fast and slow simple moving averages from closing prices. A cross of the fast average above the slow average generates a long entry, while a cross below generates a short entry. The lengths are adjustable,…

FuturesTrend followingTechnical indicatorsMomentum
Strategy library

This trend-following method combines three Supertrend indicators with different parameter settings and an exponential moving average. It enters long when the close is above all three Supertrend lines and the EMA, and short when the close is below all four…

FuturesTrend followingTechnical indicatorsBreakout
Strategy library

This strategy combines an impulse-style MACD calculation, Ichimoku cloud levels, and an adjustable exponential moving average to define directional entries. A long signal requires the IMACD color condition associated with strong upward momentum and the EMA…

FuturesTrend followingTechnical indicatorsMomentum
Strategy library

This strategy combines swing highs and lows with bullish or bearish candle patterns to seek reversal entries. It identifies potential swing levels by comparing recent highs and lows, then looks for a close above the tracked high alongside a bullish candle…

FuturesBreakoutTechnical indicatorsRisk management
Strategy library

This short-term strategy uses a five-period exponential moving average to identify stretches where price remains wholly above or below the average. It records a recent low or high during those stretches, then enters when price crosses the stored extreme,…

FuturesMean reversionTechnical indicatorsBreakout
Strategy library

This trend-following approach uses Ichimoku components to form a cloud and place stop orders around its boundaries. The conversion and base lines are midpoints of recent price ranges, and their average forms one leading span; a longer range midpoint forms…

FuturesTrend followingBreakoutTechnical indicators
Strategy library

This strategy combines a smoothed range filter with fast and slow EMAs. The filter estimates a range from smoothed price changes and updates only when price moves beyond that range; its direction and price position produce alternating long or short signals.…

Technical indicatorsTrend followingBreakoutFutures
Strategy library

This strategy pairs RSI extremes with Bollinger Band positions to seek potential reversals. It signals a long when RSI crosses upward through its oversold threshold while price is below the lower band, and a short when RSI crosses downward through its…

Technical indicatorsMean reversionVolatilityFutures
Strategy library

This strategy uses Average True Range (ATR) to scale a trailing stop to recent volatility and price signals around an EMA to choose long or short entries. Its stated rules also describe moving take profit and stop loss levels as a position changes, then…

Technical indicatorsTrend followingVolatilityRisk management
Strategy library

This trend-pullback strategy tracks the highest high and lowest low over a channel period, alongside a moving average used as a trend filter. After price reaches a channel extreme, the system records a reference point and sets a directional state. It then…

CryptoFuturesTrend followingTechnical indicators
Strategy library

This combined trend system requires agreement between two components before taking a position. One component derives a directional state from price action around an exponential moving average. The other uses three displaced moving averages of median price,…

CryptoFuturesTrend followingTechnical indicators
Strategy library

This trend-following method uses a 21-period EMA and a 20-period SMA. A cross of the EMA above the SMA creates a potential long signal, while a cross below creates a potential short signal. The strategy confirms a signal by requiring the current close to…

CryptoFuturesTrend followingTechnical indicators
Strategy library

This partial strategy script combines SuperTrend direction changes with RSI and an optional SMA trend filter for trading VN30F1M futures. It defines SuperTrend parameters, RSI overbought and oversold thresholds, a 200-period SMA filter, trade direction…

FuturesTrend followingTechnical indicatorsRisk management
Strategy library

This example shows a basic algorithm for trading a continuous E-mini S&P 500 futures series. It configures a date range, uses backward-ratio price normalization and last-trading-day contract mapping, and calculates daily fast and slow simple moving averages.…

FuturesTrend followingTechnical indicatorsExecution
Strategy library

This strategy pairs a price reversal pattern with Stochastic oscillator conditions and enters only when both components agree. The 123 component compares recent closes and the fast and slow Stochastic lines around a threshold; a separate Stochastic rule…

CryptoFuturesTechnical indicatorsMean reversion
Strategy library

This strategy combines MACD crossover signals with a moving average filter. It describes entering long when price crosses above an EMA as MACD crosses upward into positive territory, and entering short when price moves below the EMA as MACD crosses downward…

CryptoFuturesMomentumTechnical indicators
Strategy library

This short-term strategy compares a 9-period simple moving average with a 21-period simple moving average. It opens a long position when the shorter average crosses above the longer one and a short position when it crosses below. Stop-loss and take-profit…

Technical indicatorsMomentumRisk managementFutures
Strategy library

This strategy uses a 14-period RSI and upper and lower thresholds to generate opposing trades. In its default mode, an RSI move above the upper threshold signals a short, while a move below the lower threshold signals a long. The thresholds are 75 and 25 in…

Technical indicatorsMean reversionRisk managementPosition sizing
Strategy library

This strategy uses three moving averages with fast, medium, and slow periods to identify directional trends. It enters long when the averages align from fastest to slowest and short when they align in the reverse direction. The published defaults use periods…

Trend followingTechnical indicatorsRisk managementFutures
Strategy library

This strategy combines 10-period and 25-period simple moving average crossovers with a 250-period exponential moving average filter. It opens long positions on an upward crossover when price is above the long-term average, and short positions on a downward…

CryptoFuturesTrend followingTechnical indicators
Strategy library

This document presents a crossover strategy that compares a 14-period RSI with a 45-period weighted moving average of the RSI. It enters long when the RSI crosses above its smoothed value and enters short when it crosses below. The signals are framed as…

CryptoFuturesMean reversionTechnical indicators
Strategy library

This document describes a long-only trend strategy combining a weekly 20-period EMA with daily 100-day and 50-day SMAs and a 20-day EMA. Its stated entry logic looks for price to remain above the weekly EMA and 100-day SMA for a configurable run of days,…

CryptoFuturesTrend followingTechnical indicators