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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

21 documents

Quant course library

This strategy combines Bollinger bands with an average true range stop on fifteen-minute bars. When flat, it places stop-entry orders at the upper and lower bands, aiming to enter on a move beyond the recent range. The band window, band deviation, ATR…

FuturesBreakoutVolatilityTechnical indicators
Quant course library

This strategy enters long or short positions when price reaches the rolling high or low over an entry window. It adds up to four fixed-size units at progressively spaced price levels, with spacing tied to the average true range (ATR). When a position is…

FuturesTrend followingBreakoutVolatility
Quant course library

This strategy seeks directional breakouts on one-hour bars. A long entry requires positive CCI and an intraday bid above the upper Bollinger Band and the previous bar’s high; a short entry requires negative CCI and an ask below the lower band and previous…

CryptoFuturesBreakoutTechnical indicators
Quant course library

This strategy builds Keltner-style bands from a simple moving average of closing prices and a simple moving average of true range. On five-minute bars, when flat, it places linked stop orders above and below the bands so that a move beyond either boundary…

FuturesBreakoutTrend followingTechnical indicators
Quant course library

This strategy combines Bollinger Bands with MACD to enter long or short positions when price crosses an outer band and MACD points in the same direction. It calculates bands from closing prices, uses a rolling standard deviation to size positions against a…

CryptoBreakoutMomentumTechnical indicators
Quant course library

This strategy combines Bollinger-style price bands with the Commodity Channel Index (CCI) to generate directional entries on 15-minute bars. It calculates a simple moving average and standard deviation over a configurable lookback, then places a stop entry…

Technical indicatorsBreakoutVolatilityRisk management
Quant course library

This strategy uses 15-minute bars to trade breakouts beyond Bollinger Bands. When flat, it places stop entries at the upper and lower bands, so a move through either boundary can open a long or short position. Band settings determine the entry channel, while…

FuturesBreakoutVolatilityPosition sizing
Quant course library

This strategy uses Bollinger-style price bands to enter long or short positions when a bar reaches beyond the upper or lower band. It adds a directional filter based on the difference between the latest close and a close from an earlier lookback: positive…

CryptoFuturesBreakoutTechnical indicators
Quant course library

This strategy builds 15-minute bars from incoming ticks and updates a rolling indicator manager. After the indicator window is initialized, it calculates Bollinger Bands and a simple moving average midline. When flat, it places stop entries above the upper…

Technical indicatorsBreakoutRisk management
Quant course library

This strategy combines Bollinger Bands, MACD, and ATR to trade breakouts in either direction. It opens a long position when price reaches the upper band while MACD and its histogram are positive; it opens a short position when price reaches the lower band…

Technical indicatorsBreakoutMomentumRisk management
Quant course library

This strategy builds 15-minute bars and uses Bollinger Bands to place stop entries at the upper band for a long position and the lower band for a short position when flat. It calculates the middle band as a simple moving average and also computes ATR. Once…

FuturesBreakoutTechnical indicatorsRisk management
Quant course library

This strategy uses Bollinger Bands on 15-minute bars to place stop entries above the upper band and below the lower band while flat. It calculates a simple moving average as the middle band and uses that level as an exit trigger: long positions are sold when…

FuturesBreakoutTechnical indicatorsRisk management
Quant course library

This overview maps a CTA trading system into components for strategy templates, example strategies, backtesting, order conversion, live execution, and a graphical interface. It describes how live initialization can retrieve historical bars through a data…

FuturesBreakoutTechnical indicatorsBacktesting
Quant course library

This strategy uses the previous trading day’s high-to-low range to set stop-entry levels around the next day’s opening price. Separate multipliers scale the upward and downward thresholds. During the session, it chooses an entry side based on whether the…

FuturesBreakoutTrend followingExecution
Quant course library

The document outlines a cryptocurrency futures system that combines MACD direction signals with Bollinger Band breakouts. It proposes opening a long position when MACD forms a bullish crossover with its fast line above zero and price breaks the upper band,…

CryptoFuturesBreakoutMomentum
Quant course library

This strategy uses 15-minute bars to calculate Bollinger Bands, a simple moving average, and average true range. When flat, it places stop entries at the upper and lower Bollinger bands, allowing a move beyond either boundary to initiate a long or short…

CryptoBreakoutTechnical indicatorsRisk management
Quant course library

This strategy combines a 15-minute moving-average trend filter with 5-minute Bollinger bands and RSI conditions. A bullish moving-average relationship and sufficiently high RSI trigger a stop entry at the upper band; a bearish relationship and sufficiently…

Technical indicatorsTrend followingBreakoutRisk management
Quant course library

This strategy uses hourly bars to trade breakouts from Donchian channels. When flat, it places stop orders at the upper and lower boundaries of a longer channel, using average true range (ATR) to set trade size. Its risk allocation is divided by twice the…

CryptoBreakoutTrend followingVolatility
Quant course library

The document outlines a long and short cryptocurrency strategy that combines MACD direction with Bollinger Band breakouts. Long entries require a bullish MACD cross with the fast line above zero and a price break above the upper band; short entries use the…

CryptoTechnical indicatorsBreakoutPosition sizing
Quant course library

The document implements a Turtle-style breakout strategy using Donchian channel levels for entries and exits, with ATR-based stop placement and position sizing. It tracks the trade’s high and low, moves stops as prices advance, and adds to positions at…

CryptoTrend followingBreakoutTechnical indicators
Quant course library

This strategy uses Bollinger Bands calculated from hourly closing prices to generate long and short trades. It enters long when the latest tick rises above the upper band and enters short when it falls below the lower band. A long is closed below the middle…

CryptoFuturesBreakoutTechnical indicators