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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

9,797 documents

Quant Q&A

The document examines whether a Treasury futures basis trade can earn more than the implied repo minus the bond’s actual repo financing cost. It proposes adding an overnight indexed swap hedge, with the answer correcting the hedge direction: pay fixed and…

FuturesFixed incomeCarryDerivatives pricing
Quant Q&A

The document distinguishes two different charts that are often both described using contango. A futures curve at a single point in time compares prices across delivery dates: contango describes deferred contracts priced above nearby ones, while backwardation…

FuturesCommoditiesFixed incomeMarket microstructure
Quant Q&A

The document distinguishes forward and futures prices and explains why their drift depends on the probability measure used. Under the risk-neutral measure associated with the relevant numeraire, each price is a conditional expectation and has martingale…

CommoditiesFuturesDerivatives pricingRisk management
Quant Q&A

The document explains when a hedge can be established once and when it needs ongoing adjustment. Static hedging is possible when instruments can replicate a position’s payoff at inception; the payoff need not be linear. The example given is replicating a…

OptionsFuturesVolatilityRisk management
Quant Q&A

The document asks how a bond futures carry measure can make sense when a futures holder does not directly receive the underlying bond’s coupons or pay its repo funding. The cited index description ranks eligible government bond futures by estimated carry,…

FuturesFixed incomeCarryStatistics
Quant Q&A

The document explains what can and cannot be inferred about price movement when only bid and ask quotes are available. A midpoint series offers a practical estimate: compare each midpoint with the previous one to track changes in the quoted market. Tracking…

FuturesMarket microstructureStatistics
Quant Q&A

The document considers a short-front, long-back bond futures calendar roll when both contracts share the same cheapest-to-deliver bond. The trader asks whether a low conversion factor dampens the change in implied repo when the calendar spread widens, and…

Fixed incomeFuturesCarryRisk management
Quant Q&A

The document proposes detecting temporal leakage by changing all input rows after a chosen cutoff and rerunning feature construction. If outputs at or before the cutoff change, the feature pipeline has used future data. This empirical check can reveal…

Machine learningBacktestingStatisticsFutures
Quant Q&A

The document asks which timing feature defines a forward contract: the future delivery of the underlying asset or the timing of payment. It raises the Islamic finance contract Salam, also called Salaf, as a point of comparison. In the description given,…

FuturesDerivatives pricing
Quant Q&A

The document explains bond carry as the return expected when time passes and market conditions otherwise stay unchanged. For a bond, pure carry can be estimated from coupon income less repo financing costs, expressed relative to DV01, or approximated through…

Fixed incomeFuturesCarryRisk management
TradingView scripts

This template trades crossovers between a fast and a slow exponential moving average, with configurable lengths and an optional filter based on the direction of a longer simple moving average. A bullish crossover can open a long when the filter is rising; a…

FuturesTrend followingTechnical indicatorsRisk management
TradingView scripts

This TradingView indicator builds volume profiles for configurable market sessions and calendar periods, including Tokyo, London, New York, daily, weekly, and longer intervals. It divides each period’s price range into bins, allocates lower-timeframe volume…

Technical indicatorsMarket microstructureFuturesForex
TradingView scripts

This intraday strategy records the high and low during a configurable opening window, then takes long or short breakouts of that range during the selected session. Optional filters require a range size within ATR-based bounds, volume above its moving…

FuturesEquitiesBreakoutRisk management
TradingView scripts

This strategy trades Micro E-mini Nasdaq futures in both directions using smoothed Stochastic RSI and a 20-period EMA. For shorts, an extreme high oscillator reading arms a setup; price must then touch the EMA before the oscillator falls through an entry…

FuturesMomentumTechnical indicatorsRisk management
TradingView scripts

This example strategy combines bullish and bearish fair value gaps with MACD crossovers filtered by RSI. It also defines trend-aligned flags using the relationship between price and a moving average, together with above-average volume. Entries require one of…

Technical indicatorsRisk managementExecutionFutures
TradingView scripts

This intraday strategy builds a high-low range from the 8:00 to 8:15 a.m. New York session and calculates its midpoint. During the specified later trading window, it records a close above or below the range as the breakout direction, then enters when price…

FuturesBreakoutRisk managementPosition sizing
TradingView scripts

This TradingView strategy targets long and short setups around the New York cash open. It anchors VWAP to the regular session and allows trades only during a narrower morning window. Entries are framed as VWAP reclaims followed by a hold or pullback, with a…

EquitiesFuturesTechnical indicatorsBreakout
TradingView scripts

This strategy looks for a transition from relatively quiet trading to rising volatility, then enters when price crosses a level recorded during the quiet period. It compares ATR with a longer average of ATR, marks compression below a configurable threshold,…

FuturesVolatilityBreakoutTechnical indicators
TradingView scripts

This strategy looks for reversals after price crosses a recent extreme and closes back through the prior bar. It calculates the rolling highest high and lowest low over a 20-bar lookback. A short signal occurs when the current high exceeds the previous bar's…

FuturesMean reversionTechnical indicatorsBacktesting
TradingView scripts

This intraday strategy looks for price to cross daily VWAP, revisit that level within a configurable bar window, then close back on the breakout side with a candle in the same direction. It can trade long setups by default and optionally enable mirrored…

FuturesBreakoutTechnical indicatorsRisk management
TradingView scripts

This Nifty futures strategy records the close of the 9:15 a.m. India-time candle on Tuesdays and Wednesdays. On Wednesday, it compares that candle’s close with a stored reference: the prior week’s Wednesday price when available, otherwise the prior week’s…

FuturesTechnical indicatorsBacktestingRisk management
TradingView scripts

This intraday strategy looks for reversals around zones built from confirmed pivot highs and lows. It expands those pivot levels using an ATR-based width to form supply and demand areas. Long setups require a pivot low, price near demand, a bullish candle,…

FuturesMean reversionVolatilityRisk management
TradingView scripts

This script describes an intraday VWAP strategy centered on the NYSE regular-session open. It includes a 09:45–11:00 New York trade window, VWAPs anchored to different session starts, prior-day VWAP, opening-range and initial-balance levels, and a status…

FuturesEquitiesTechnical indicatorsExecution
TradingView scripts

The strategy records the high and low of the Asian session, defined as 00:00–08:00 UTC, and uses that range as a breakout reference during the UK and US sessions. A long signal occurs when the close crosses above the Asian high; a short signal occurs when it…

FuturesBreakoutRisk managementTechnical indicators