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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
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

SuperMind

The document proposes a stock-selection screen for Chinese A-shares. It combines daily price amplitude above one percent, a historical filter for 2021, and an auction-price return between negative two and positive five percent. The selected names form a…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This stock-selection example combines three technical filters: daily amplitude above 1, prior-day actual turnover between 3% and 28%, and a weekly close crossing above its 30-week moving average. The proposed rationale is to find shares with a large trading…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
MQL5 code base

This document compares several common rate-of-change measures: raw momentum, percentage change, and ratio forms. It gives the corresponding formulas and maps several variants to names used in TA-Lib, TradeStation, and MetaStock. These definitions help…

Tehniskie indikatoriCenas impulssStatistika
ProRealCode

The document explains the Gann HiLo Activator as a trend-following indicator attributed to Robert Krausz. It compares the close with moving averages of prior highs and lows, using a three-period lookback in the supplied version. When price is above the…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaAkcijas
SuperMind

This Chinese-language post proposes an A-share stock screen that combines a technical condition with earnings growth and dividends. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20%…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

The document describes a Kalman Filter indicator intended to smooth price noise and extract an underlying trend. It distinguishes this recursive approach from filters that rely on a history of observations: each update uses the prior state estimate and its…

Tehniskie indikatoriStatistikaSekošana tendencei
MQL5 code base

The document introduces the Psychological Index as an overbought and oversold indicator, noting that it was described in Futures Magazine in June 2000. Its calculation starts by marking each period as an up day when the close is higher than the preceding…

Tehniskie indikatoriTirgus noskaņojumsStatistika
BigQuant

This research surveys how several forms of Chinese Level 2 market data can support equity signals: minute bars, order-book snapshots and queues, and transaction-level records. It describes factors based on intraday return shape, downside variation,…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaTirgus mikrostruktūra
BigQuant

This research describes a bond-fund selection method built around return attribution. It expands the Campisi framework—which separates income, government-rate, credit-spread, and security-selection effects—with convertible-bond and monetary-policy effects.…

Fiksēta ienākuma instrumentiFaktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaude
quant-trading

This repository overview introduces a collection of systematic trading approaches, including moving-average momentum, cointegration-based pairs trading, candlestick signals, and an opening-range breakout. It also points to projects in options, portfolio…

Tehniskie indikatoriCenas impulssPāru tirdzniecībaCenas izrāviens
FinRL

The FinRL data layer is presented as a unified processor for accessing market data from multiple APIs, cleaning it, and extracting features. Users specify a date range, stock list, interval, and other parameters. The document distinguishes missing…

AkcijasStatistikaTehniskie indikatoriVēsturisko datu pārbaude
MQL5 code base

This indicator displays the opening price level of a candlestick from a user-selected higher timeframe on the chart. The timeframe is an input parameter, with twelve-hour candles shown as the default in the provided setting. The idea is to make a…

Tehniskie indikatori
SuperMind

The proposed stock screen combines three conditions: intraday amplitude above one percent, positive price-to-earnings ratio, and a shrinking negative MACD histogram on a 15-minute chart. The article interprets the amplitude filter as a way to find more…

AkcijasTehniskie indikatoriCenas impulss
MQL5 code base

TDSGlobal is described as an Expert Advisor that combines MACD, OsMA, and Williams Percent Range (WPR) indicators. It is configured for daily charts and four currency pairs: USDCHF, GBPUSD, USDJPY, and EURUSD. The document identifies the idea’s collector…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
MQL5 code base

This document describes a trend indicator derived from previously published work and updated with user-requested changes. The listed improvements include terminal, email, and push alerts, independent controls for each alert type, a simpler color scheme, an…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldība
MQL5 code base

This document describes a chart indicator that displays weekly and monthly price levels. Users can set the calculation lookback in days and customize the color, line width, and line style separately for weekly and monthly levels. A further setting chooses…

Tehniskie indikatoriAkcijas
BigQuant

This 2018 weekly report reviews a sharp post-holiday decline in Chinese equities, noting that large-cap leaders held up better than smaller companies. It interprets price structure, valuation, and long-term support as signs that the market was in a potential…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

This document describes a Chinese stock screen that combines three conditions: daily price amplitude above 1%, a reversal or engulfing-style candle, and shortening green MACD histogram bars on a 15-minute chart. It presents the combination as a way to narrow…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines a daily price-range condition, a moving-average trend signal, and a minimum market-value filter. It seeks shares whose daily high-low range exceeds 1% of the previous close, whose five-period average crosses above the ten-period…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This technical stock screen targets shares in the metaverse sector when several bullish signals coincide. Its stated conditions include a MACD crossover, a five-day moving average crossing above both the ten-day and twenty-day averages, and the five-day…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This stock screen combines a turnover filter, a streak of declining closes, and evidence of a sharp rise within a recent lookback period. It selects shares with turnover between 3% and 12%, closes no higher than the prior close for seven consecutive…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This premarket stock screen combines three conditions: MACD above zero, price-to-earnings ratio above zero, and more than two limit-up days during the prior ten days. The article interprets positive MACD as an uptrend, positive P/E as a normal valuation…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock screen selects Chinese main board companies with daily amplitude above 1, more than three years since listing, and a daily gain above 1%. Its rationale is to favor more active shares while excluding newer listings and limiting the universe to the…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
MQL5 code base

This note describes M2_MACandle, an indicator that displays the output of the M2_MA moving average as a sequence of candlesticks. It argues that this visual form can make the processed price series more informative for analysis, though it does not specify…

Tehniskie indikatori