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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

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20,364 dokumenter
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
560 dokumenter
QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
219 dokumenter
Robot Wealth
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NautilusTrader
191 dokumenter
Hummingbot docs
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Paradigm research
175 dokumenter
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164 dokumenter
Kraken Learn
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Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
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144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
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Quantpedia
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Hyperliquid docs
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
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Quantopian-forelesninger
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FMZ guides
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pysystemtrade
34 dokumenter
Freqtrade docs
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quant-trading
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FinRL
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Zipline
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Jesse
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pyfolio
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Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
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QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

79,386 dokumenter

BigQuant

This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…

RentepapirerFuturesCarry-avkastningArbitrasje
ProRealCode

The document describes an hourly breakout approach for gold based on a range formed overnight. It takes the highest high and lowest low over the specified eight-candle period ending at 5 a.m., then permits entries between 5 a.m. and 6 p.m. A move above the…

RåvarerKursbruddRisikostyringHistorisk testing
Awesome Systematic Trading

This strategy selects U.S. equities by asset growth, then uses price momentum to choose long and short positions. It first screens for exchange-listed stocks, removes the smallest market capitalization names according to the source description, and ranks the…

AksjerMomentumFaktorinvesteringPorteføljekonstruksjon
SuperMind

This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
SuperMind

This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…

AksjerKinesiske markederMomentumMarkedsmikrostruktur
ProRealCode

The document describes a trailing stop built from the Average True Range (ATR). It places a candidate stop a multiple of ATR below the closing price during an uptrend and above it during a downtrend. The example uses a 14-period ATR multiplied by 3.5, while…

Tekniske indikatorerTrendfølgende handelVolatilitetRisikostyring
ProRealCode

This indicator uses a modified weighted moving average and a smoothed version of that average to locate candidate turning points. When the two lines cross, it records a recent local low or high, using a shorter lookback based on a fraction of the…

Tekniske indikatorerAksjerFuturesValutahandel
SuperMind

The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…

Kinesiske markederAksjerTekniske indikatorerMomentum
MQL5 code base

The document describes a variation on the Commodity Channel Index (CCI) intended to reduce its rapid, jagged movements. Instead of smoothing the finished CCI series, it filters the input prices first and then calculates CCI from those filtered prices. The…

Tekniske indikatorer
BigQuant

The request specifies a stock factor backtest using a named factor table and factor. Factor values should be converted to ranks, with smaller values preferred. The intended universe is the CSI 1000, excluding Beijing Stock Exchange listings and ST-designated…

AksjerFaktorinvesteringHistorisk testingPorteføljekonstruksjon
ProRealCode

The strategy seeks long trades during a rebound after a bearish move. It uses a Donchian channel to divide the recent price range into four sections, then places a buy stop near the first level above the channel low when price remains below that level. A…

AksjerTilbakevending mot gjennomsnittetTekniske indikatorerPosisjonsstørrelse
MQL5 code base

This document explains a chart indicator that displays the direction of a trend or a potential deal signal generated by a separate trend-arrow indicator. It distinguishes continuation from a change in trend: continuation appears as a horizontal…

Tekniske indikatorerTrendfølgende handelOrdreutførelse
Hummingbot docs

This controller monitors liquidation activity for a selected Binance perpetual futures pair and initiates a dollar-cost averaging trade when liquidations on the chosen side exceed a configured quote-currency threshold within a time window. It treats forced…

KryptoEvigvarende futuresTilbakevending mot gjennomsnittetPosisjonsstørrelse
BigQuant

This article outlines a workflow for creating custom equity-selection rules from platform factors. It illustrates price-location features based on recent highs and lows, then combines return, volume, and market-relative conditions into a screening rule. The…

AksjerFaktorinvesteringMomentumHistorisk testing
MQL5 code base

This Expert Advisor seeks possible trend changes by tracking the difference between two moving averages. It applies a cubic nonlinear transformation to that difference, amplifying larger departures from zero relative to smaller ones, then uses upper and…

ValutahandelTekniske indikatorerTrendfølgende handelHistorisk testing
MQL5 code base

This Expert Advisor trades signals from the F2a_AO semaphore indicator after filtering them by the direction of a closed candle on a higher timeframe. The timeframe and candle index are configurable, with daily timeframe and the most recently closed bar as…

ValutahandelTekniske indikatorerTrendfølgende handelHistorisk testing
SuperMind

This Chinese-language post proposes a stock screen combining price movement and liquidity conditions: an amplitude threshold, at least one large daily gain within the past 25 trading days, and turnover between 3% and 12%. It frames the screen as potentially…

AksjerKinesiske markederTekniske indikatorerMomentum
MQL5 code base

The document explains an expert advisor approach for managing stop loss, take profit, and trailing exits locally on a trader’s computer. Because the stop orders are virtual, they are not sent to the broker. The article also says the system ignores broker…

RisikostyringOrdreutførelsePosisjonsstørrelse
MQL5 code base

The document describes an enhancement to the EMAVFS indicator that marks trend strength with colored dots on its moving average. The dot color indicates the current trend direction, while the standard deviation of the indicator determines whether a dot…

Tekniske indikatorerStatistikkTrendfølgende handel
Amberdata research

This study builds separate XGBoost models to predict next-day Ethereum volatility from activity in the USDC, USDT, and DAI lending ecosystems. Features include lagged borrowing, repayment, and flash-loan measures, plus seven-day averages. It uses time-series…

KryptoDeFiVolatilitetMaskinlæring
BigQuant

The article argues that robust quantitative trading depends less on choosing a factor or model in isolation than on a repeatable development process. It outlines a sequence: form a market-based hypothesis, analyze whether candidate factors distinguish…

FaktorinvesteringMaskinlæringHistorisk testingRisikostyring
SuperMind

The proposed stock screen selects shares with a daily high-low range of at least one percent and relative volume between 1.5 and 6 times its five-day average. It also filters on company or industry classification, with consumer and healthcare sectors offered…

AksjerTekniske indikatorerKinesiske markeder
MQL5 code base

KWAN_NRP combines values from the stochastic, relative strength index, and momentum indicators into a two-color histogram. Its stated interpretation is directional: rising indicator values and green bars accompany asset growth, while falling values and pink…

Tekniske indikatorerMomentum
SuperMind

This document describes a Chinese equities screening rule using three conditions: daily high-to-low amplitude above one percent of the open, a positive but less than 35% gain over ten days, and three consecutive sessions in which the close is below the open.…

AksjerKinesiske markederTilbakevending mot gjennomsnittetTekniske indikatorer