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Zināšanu bibliotēka

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
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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

SuperMind

This Chinese stock selection proposal combines three filters: today’s increase in a stock’s position or holding share must exceed 5%, weekly MACD must be above zero, and the ten-day return must be positive but below 35%. The accompanying rationale treats the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
NautilusTrader

This document describes an adapter for collecting DeFi data from EVM blockchains and making it available through a trading system’s data model. It covers historical and live block feeds, DEX pool discovery, pool event replay, snapshots, and an experimental…

KriptoaktīviDeFiRīkojumu izpildeTirgus mikrostruktūra
SuperMind

The document describes a daily pre-market A-share screening rule that selects stocks with MACD above zero, a share price below a stated ceiling, and positive institutional-flow readings. The approach combines a technical momentum condition with a price…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
BigQuant

The article argues that a factor can be useful even when its strongest information lies in identifying poor-performing stocks. It describes ranking stocks into daily groups by factor value and interpreting unusually strong performance in the worst-ranked…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaVēsturisko datu pārbaude
Amberdata research

The document explains how authorized participants create and redeem crypto ETF shares in response to demand, producing net flows that can be monitored as a proxy for institutional activity. It presents inflows as a possible sign of rising demand and outflows…

KriptoaktīviTirgus noskaņojumsTirgus mikrostruktūra
Amberdata research

The document describes an institutional data product for analyzing stablecoins across blockchains, decentralized finance, and centralized exchange venues. Its stated analytics include transfers, minting and burning, wallet activity, supply changes,…

KriptoaktīviBlokķēdes datiDeFiTirgus mikrostruktūra
SuperMind

The document outlines a proposed screen for Chinese equities that combines small market capitalization, profitability, moving average alignment, and recent limit-up activity. Its initial description calls for at least five overlapping moving averages,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
MQL5 code base

This document describes a market mode indicator attributed to John Ehlers. It applies a bandpass filter and estimates reference levels from the average of detected peaks and valleys. The filter’s position relative to those levels is then used to determine…

Tehniskie indikatoriStatistika
MQL5 code base

The Ulcer Index is presented as a measure of downside volatility, originally devised by Peter Martin for evaluating stock market funds. The document explains its use as a trend confirmation tool: a falling index alongside rising prices suggests downside…

Tehniskie indikatoriSvārstīgumsRiska pārvaldība
BigQuant

This study summary treats a company’s choice to capitalize or expense research and development costs as a signal about the expected future benefits of its projects. Because accounting criteria leave room for discretion, capitalization can also be used to…

AkcijasUz notikumiem balstīta tirdzniecībaĶīnas tirgiFaktoru ieguldīšana
MQL5 code base

This brief indicator description presents a trend-strength measure based on RSX, a smoothed variant of RSI. The general aim of a trend-strength indicator is to distinguish meaningful changes in an underlying indicator from smaller fluctuations, treating the…

Tehniskie indikatoriSekošana tendencei
BigQuant

This overview explains decision trees as nonparametric models that divide observations through sequential feature rules. Each path defines a group, and a leaf assigns a prediction based on the labels in that group. The same feature can be used at multiple…

MašīnmācīšanāsStatistika
Freqtrade

This strategy uses hourly candles and technical indicators to identify directional momentum. It calculates ADX, positive and negative directional indicators, Parabolic SAR, and momentum. Long entries are signaled when ADX exceeds a threshold, momentum is…

KriptoaktīviCenas impulssSekošana tendenceiTehniskie indikatori
MQL5 code base

The document introduces a quadruple exponential moving average indicator, describing it as repeated EMA smoothing with a defined period. It also notes that the plotted indicator can be shifted horizontally or vertically, allowing its display or alignment to…

Tehniskie indikatoriSekošana tendencei
BigQuant

This example outlines a China A-share stock selection and portfolio backtest workflow. It screens for eligible, non-suspended stocks, calculates 30-day and 90-day returns, and ranks those returns cross-sectionally. The illustrated filter favors stocks in the…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
Binance API docs

The document explains how spot market orders consume the best available liquidity until the requested quantity is filled or the order book runs out. It describes two different outcomes: insufficient account balance causes rejection, while insufficient market…

Rīkojumu izpildeTirgus mikrostruktūraKriptoaktīviTūlītējo darījumu tirgi
SuperMind

This post describes a Chinese stock screen requiring turnover between 3% and 12%, at least one limit-up event within a recent 25-day window, and at least one daily gain of 10% or more during the latest 25 trading days. It presents the conditions as a way to…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post proposes screening stocks by amplitude above a threshold, a positive weekly histogram condition, and an opening price near the 10-day moving average. It frames these filters as a way to combine price fluctuation with short-term…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
MQL5 code base

This document describes a rate-of-change indicator smoothed with a Laguerre filter and displayed as a color histogram. It exposes parameters for the lookback period, smoothing factor, overbought and oversold levels, level styling, and horizontal bar shift.…

Tehniskie indikatoriCenas impulss
MQL5 code base

This document describes a read-only dashboard for monitoring an account against configurable proprietary trading firm risk limits. It displays balance, equity, floating profit and loss, the day's profit and loss, the share of the daily loss limit used, the…

Riska pārvaldībaPozīcijas apjoma noteikšana
Amberdata research

This derivatives newsletter argues that Bitcoin may remain in consolidation despite bullish headlines, while stronger equities and lower equity volatility point to a different near-term backdrop. Its macro discussion cites the upcoming Federal Reserve…

KriptoaktīviOpcijasSvārstīgumsNākotnes līgumi
vn.py community

This forum exchange explains why recorded market data may not appear in VeighNa's data manager. It raises several possible causes: an invalid or mistyped contract symbol, recording ticks rather than bars, a delay before buffered data is written, or a lack of…

Nākotnes līgumiRīkojumu izpilde
MQL5 code base

This document describes a simple ZigZag chart indicator that marks a turning point after a price leg exceeds a chosen step. The step can be specified either in points or as a percentage, with the method and step size as its two inputs. The examples show the…

Tehniskie indikatori