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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
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vn.py community
Dokumentu skaits: 560
QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

MQL5 code base

The indicator identifies flag and pennant formations, which are commonly interpreted as pauses after a strong price move before the earlier trend resumes. It uses linear regression to detect the trend and a channel to identify the intervening consolidation.…

Tehniskie indikatoriCenas izrāviensSekošana tendencei
MQL5 code base

This Expert Advisor uses the Parabolic SAR to determine a candidate trade direction, but only when ADX is below a chosen threshold. It then adjusts direction according to the previous trade: after a winning trade, it may enter in that trade’s direction;…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

This stock-selection rule looks for companies associated with the metaverse concept, with a rising 30-day moving average and at least two limit-up events during the prior 500 days. It is intended to combine a rising price trend with a history of strong…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
MQL5 code base

This note proposes a simple ratio as a way to track changes in market volatility. It describes comparing a sum of price differences with an average based on summed price differences. The formula is stated informally, without defining the sampling window, the…

SvārstīgumsTehniskie indikatori
MQL5 code base

This note describes a weighted moving average whose price weights follow a parabolic curve. A power parameter controls the weighting pattern, extending the basic idea of a linear weighted moving average. The document explains two special settings: power zero…

Tehniskie indikatoriStatistika
SuperMind

The document describes a stock screen combining price amplitude, a market-concentration measure, and a 15-minute MACD histogram that is getting shorter. It interprets high amplitude as a way to find actively moving stocks, the concentration filter as a way…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
BigQuant

This research overview outlines a framework for constructing high-frequency equity factors from Level 2 market data. It recommends reducing tick or intraday observations into daily measures, then transforming those measures over time with operations such as…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaStatistika
SuperMind

This Chinese-language post describes an equity screening rule that combines a daily high-low range threshold, five consecutive years of return on equity above 15%, and a KDJ indicator condition below 20. The intended combination is a technical filter…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
Amberdata research

The article explains why financial institutions need direct on-chain data alongside market data, then identifies four obstacles: many changing data sources, protocol differences, complex processing, and scarce specialist talent. It describes how smart…

KriptoaktīviBlokķēdes datiDeFiTirgus mikrostruktūra
SuperMind

This stock selection example combines three filters: turnover between three and twelve percent, outside volume greater than 1.3 times inside volume, and a positive institutional direction measure. The article frames turnover as a liquidity or activity…

Ķīnas tirgiAkcijasTirgus mikrostruktūraStatistika
SuperMind

This Chinese stock screen selects listed shares with turnover rates between three and twelve percent, excludes Beijing-listed stocks, and keeps stock codes beginning with 60. The article describes these filters as a way to focus on relatively active shares…

Ķīnas tirgiAkcijasRīkojumu izpilde
SuperMind

This stock selection example combines a daily price range filter with a calendar-year condition and a rising Commodity Channel Index (CCI) pattern. It first looks for a high-to-low range exceeding one percent of the previous close, restricts observations to…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This document describes a stock screen intended to find possible trend changes. It looks for equities whose moving averages converge, using at least five averages as the selection condition, and also imposes a limit on the indicated pre-open gain. The…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This document proposes a Chinese equity screen combining prior-day price amplitude above 1, appearance on the trading leaderboard with purchases exceeding sales, and a connection to the metaverse theme. The rationale is that a larger daily range may identify…

AkcijasĶīnas tirgiSvārstīgumsTirgus noskaņojums
FMZ forum

This document introduces a digital-asset trading library that combines an existing spot-trading template with futures support for OKCoin and BitVC. Its main teaching is operational: futures orders require contract selection and position-aware handling that…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiRīkojumu izpilde
MQL5 code base

This indicator adds a trend-strength display to a smoothed Derivative indicator. It measures the indicator’s standard deviation and marks the moving average with colored dots that reflect the current trend direction. Two thresholds divide the display into…

Tehniskie indikatoriStatistikaSekošana tendencei
SuperMind

This stock selection rule combines a 14-period RSI below 65, price above its five-day moving average, and a reversal pattern. The article’s final formulation calls for three consecutive bearish candles followed by a bullish candle. It presents indicator…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
MQL5 code base

The document describes an Expert Advisor that trades a trend signal from the AML moving average. A trade signal is generated at the close of a bar when the indicator changes direction while retaining its color. The example applies the method to XAUUSD on a…

IzejvielasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This document outlines a Chinese equity screen based on an intraday amplitude threshold, exclusion of ST-designated stocks, a five-day high condition described as a limit-up method, and at least two limit-up events over a 500-day lookback. It supplies a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document presents a Chinese equity selection rule requiring MACD above zero, the current high to match a two-day high, and more than two limit-up events within ten days. It explains these conditions as indicators of positive momentum, a nearby price…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document describes a Chinese equity screening idea that combines turnover between 3% and 12%, at least one limit-up event in the prior 25 days, a concentration condition, and a minimum market-cap filter. Its stated rationale is to find stocks with…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This proposed equity screen looks for main-board stocks with turnover between 3% and 12%, a daily gain above 1%, and at least one day with a gain of 10% or more during the prior 25 trading days. The document frames a large recent daily move as a sign of…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection proposal combines three filters: daily price amplitude of at least 1%, turnover between 2% and 9%, and a ratio of buying-side to selling-side volume above 1.3. The author presents amplitude and turnover as measures of price activity and…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
BigQuant

This brief BigQuant forum exchange addresses a report that a configured holding period of ten days did not trigger a sale. The response points to the strategy’s complexity, which includes both profit-taking and stop-loss logic, as a possible obstacle to…

Rīkojumu izpildeRiska pārvaldība