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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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

Lumibot

This example organizes daily decisions across leveraged sector and broad-market ETFs using separate AI agents for technology, financials, healthcare, energy, and consumer-related groups. Each sector pod is instructed to consult recent news and macroeconomic…

AkcijasPortfeļa veidošanaRiska pārvaldībaMašīnmācīšanās
BigQuant

The document explains how to generate moving-average features in BigQuant when only selected lookback windows are wanted. It contrasts a range-based list comprehension, which the platform accepts, with a list of chosen values, which it says is unsupported in…

Tehniskie indikatoriStatistika
ProRealCode

This stock-selection idea combines three short-term conditions: daily amplitude above a threshold, at least one limit-up event during the past month, and a positive ten-day return below an upper bound. The article’s proposed refinement adds a PEG ceiling,…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
vn.py community

Peek+ is a configurable indicator that looks back over a window to find when the most recent highest high or lowest low occurred. It turns those offsets into separate streak measures associated with persistent upward and downward extreme-setting. A signal…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas izrāviens
BigQuant

This guide outlines a workflow for preparing a factor research report for a quantitative trading competition. It recommends generating factor data, then using BigQuant’s FactorLens v4 to calculate single-factor results. The platform returns ranking metrics…

Faktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This text introduces market efficiency as a contested idea whose meaning shapes how investors approach investing and valuation. It says the chapter offers a basic definition and considers what efficient markets would imply for investors. It also points…

StatistikaVēsturisko datu pārbaudeAkcijas
MQL5 code base

The Fractal Dimension Index is presented as a way to characterize market behavior and volatility. The document identifies 1.5 as a reference value associated with random price action and suggests that departures from this level may indicate more structured…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
SuperMind

This Chinese stock-selection post describes a screen combining three conditions: an amplitude measure above a threshold, a 9:25 price gain below a ceiling, and a rising DEA line from MACD. The stated rationale is to combine a measure of price movement with a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
ProRealCode

This indicator studies whether price tends to rise or fall on the bar after a run of consecutive candles with the same direction. It measures runs from one to twelve candles and simulates a long position entered at the close of the run and exited one candle…

Tehniskie indikatoriStatistikaVēsturisko datu pārbaude
SuperMind

The article proposes a Chinese equity screen restricted to the metaverse industry. It looks for stocks opening near or above their ten-day moving average, then ranks candidates using a measure combining the session’s price change with large-order activity.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
Amberdata research

This market recap describes a week of softer realized and implied volatility in Bitcoin and Ether options as spot prices drifted within recent ranges without a major macro catalyst. It notes that Bitcoin’s term structure shifted lower, especially at the…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
MQL5 code base

The indicator plots two Standard Deviation lines calculated with separate period and moving-average-method settings. It places a directional pointer when one line crosses the other: an upward cross by the first line produces a blue pointer, while a downward…

Tehniskie indikatoriSvārstīgumsStatistika
MQL5 code base

This Expert Advisor uses three moving averages to generate directional entries. A long setup requires the fast average to cross above the middle average while both faster averages remain above the slow average across the current and prior bar comparisons.…

Tehniskie indikatoriSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
vn.py community

This forum response offers a troubleshooting sequence for multiple VeighNa strategies that appear to stop responding. It recommends checking whether logs continue, adding output in tick or bar callbacks to confirm incoming data, verifying that a strategy is…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 code base

This document describes an MT5 chart indicator that displays broker-provided information about the selected symbol and market. It covers live prices, spread, market status, contract size, lot limits, tick value, margin details, swap values, trading mode, and…

Rīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
MQL5 code base

XMA is described as a moving average whose output is filtered by a minimum price step. It first calculates a moving average using a selected period, calculation method, and applied price. The displayed value updates only when the difference from the prior…

Tehniskie indikatoriSekošana tendencei
MQL5 code base

The Choppiness Index is presented as an oscillator for distinguishing trending conditions, flat markets, and unstable consolidation. Its calculation compares the sum of one-period average true ranges over a lookback window with the high-to-low range across…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
Lumibot

This document explains a strategy lifecycle callback invoked when a broker reports a partial order fill. The callback receives the updated position, order, fill price, newly observed fill quantity, and options multiplier. It can support quantity-sensitive…

Rīkojumu izpildeRiska pārvaldība
ProRealCode

This indicator estimates buying and selling pressure from candle bodies and wicks. It assigns values to bullish, bearish, and neutral candle configurations, then smooths the directional series with a Hull-style weighted average. The resulting upper and lower…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsStatistika
MQL5 code base

This document describes an automated forex expert advisor that looks for bullish and bearish Butterfly harmonic patterns across selected chart timeframes. It says the system identifies patterns using pivot points and offers configurable risk and session…

Valūtu tirgusTehniskie indikatoriRiska pārvaldība
BigQuant

This short forum post asks whether a linear equity strategy can compare a stock’s ranking when purchased with its current ranking and sell after sufficient deterioration. The example uses a small-capitalization strategy holding ten stocks: a stock bought at…

AkcijasFaktoru ieguldīšanaRīkojumu izpildeVēsturisko datu pārbaude
SuperMind

This research summary argues that banks should be modeled separately in equity selection because their asset-heavy business structure and distinctive price behavior can make factors selected across the full market less effective within the sector. It…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldība
SuperMind

This document describes a Chinese equity screen using three conditions: daily price range above a threshold, share price below a ceiling, and a 2019 dividend ratio above a threshold. It frames the screen as a mix of technical behavior and dividend…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes an A-share screen for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a volume ratio between 1.5 and 6. The volume ratio is calculated against a five-session average. The article presents the pattern…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori