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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

ProRealCode

The MA Sabres indicator marks possible changes in trend using the direction of a configurable moving average. It can use TEMA or another selected average, then track whether the average has been rising or falling. A reversal cue appears when the average…

Tehniskie indikatoriSekošana tendenceiStatistika
MQL5 code base

This brief description explains a simple position-sizing calculator for MetaTrader 5. The user supplies a desired risk as a percentage and a stop distance in pips, and the indicator returns a lot size intended to fit those inputs. The document therefore…

Valūtu tirgusRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

The document proposes screening stocks using amplitude above one, a shortening negative MACD histogram on a 15-minute chart, and MACD at or above zero. It explains the intended rationale as combining price movement with a momentum indicator to identify…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document outlines a Chinese-equity screening idea that combines daily turnover between 3% and 12%, a positive product of price change and net large-order volume, and a rounded or arc-like candlestick condition. It presents sample formula and Python…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
BigQuant

This summary describes a market-timing approach that uses a convolutional neural network to extract patterns from lower-dimensional index features, including technical indicators, and classify expected returns. Predicted return classes are then used to drive…

Ķīnas tirgiAkcijasMašīnmācīšanāsTehniskie indikatori
BigQuant

The document answers how to identify when a strategy’s maximum drawdown occurred in a backtest. It recommends adding a strategy risk overview module after the backtest module, which reports the drawdown and its associated date. The example reports a maximum…

Vēsturisko datu pārbaudeRiska pārvaldība
Hummingbot docs

This guide explains how to connect Hummingbot to GRVT, a self-custodial perpetual futures venue with central limit order book matching, and outlines its authentication, funding, fee, instrument, and order settings. It also walks through using Hummingbot’s…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus veidošanaAtgriešanās pie vidējās vērtības
BigQuant

This report summary examines whether northbound capital flows into mainland Chinese equities can inform market timing and portfolio selection. It describes threshold signals for daily and weekly flows, then a dynamically adjusted timing indicator. It also…

Ķīnas tirgiAkcijasCenas impulssVēsturisko datu pārbaude
FMZ forum

This article presents five ways to manage exits from stock positions: set an initial price threshold before entry; raise the stop to break-even after a favorable move; trail it as the price advances; exit when price breaks a trend line or moving average; and…

AkcijasRiska pārvaldībaTehniskie indikatori
vn.py

This guide explains a configurable pre-trade risk engine that checks orders before they are sent through a trading API. Rules can be enabled in a JSON settings file and include symbol blacklists and whitelists, order size and value caps, cancellation limits,…

Riska pārvaldībaRīkojumu izpildePozīcijas apjoma noteikšana
MQL5 code base

The document describes an adaptive moving average based on Perry Kaufman’s KAMA and an approach attributed to Vitali Apirine. The adaptation uses the close’s position within the high–low range, and the indicator is presented as a faster alternative to KAMA…

Tehniskie indikatoriSekošana tendencei
MQL5 code base

This Expert Advisor follows the BlauTVI trend indicator. It generates a signal when a bar closes and the indicator histogram changes direction. Users can enable a trading window and specify its start and end times. The default schedule covers the day from…

Sekošana tendenceiTehniskie indikatoriValūtu tirgusRīkojumu izpilde
BigQuant

The article describes an ability parity model for allocating among actively managed funds. It extends portfolio optimization by estimating each fund manager’s stock-selection skill and market-timing skill, with timing measured using the Treynor–Mazuy…

Portfeļa veidošanaFaktoru ieguldīšanaStatistikaĶīnas tirgi
MQL5 code base

This strategy uses the highest and lowest prices over a configurable number of recent bars to choose a trade direction. If the current bar sets the lookback high, it opens a buy; otherwise, it opens a sell. The premise is that prices often revisit recent…

Cenas izrāviensAtgriešanās pie vidējās vērtībasRiska pārvaldībaPozīcijas apjoma noteikšana
Freqtrade

This hourly long-only strategy combines the Average Directional Index (ADX) with two simple moving averages. It calculates a 14-period ADX and 3-period and 6-period SMAs. A long entry is signaled when ADX is above 25 and the shorter SMA crosses above the…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
BigQuant

The document addresses how to retrieve financial figures from multiple quarters and combine them into a factor for analysis. The examples ask about comparing current-quarter cash flow with the prior quarter to measure change, and averaging current and…

AkcijasFaktoru ieguldīšanaStatistika
BigQuant

The document outlines a proposed system for automating A-share investment research reports. It describes combining company and industry information, financial analysis, valuation, price-chart analysis, and analysis of news and announcements. A LangGraph…

MašīnmācīšanāsAkcijasĶīnas tirgi
SuperMind

The document describes an A-share screening rule for companies assigned to the metaverse industry. It combines a float-size ceiling with an ownership-concentration ceiling, then returns qualifying stock codes and names. The accompanying Python example…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock-selection rule filters for a high–low range above 1% of the high, a closing price of exactly 18.5 yuan, and circulating market value of at least 10 billion yuan. The document includes example selection logic and sorts qualifying names by trading…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
ProRealCode

This indicator method automates trendline drawing by locating pivot highs and lows, fitting separate linear regressions to those points, and iteratively retaining points on the relevant side of each fitted line. The resulting upper and lower lines aim to…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensSvārstīgums
SuperMind

This stock screen combines a daily range condition with sustained profitability and a momentum indicator. It selects shares whose high–low range exceeds an ATR-based threshold, whose return on equity stayed above 15% across five years, and whose 14-period…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriRiska pārvaldība
Qlib

This QlibRL example describes how to configure and run a reinforcement learning workflow for executing orders in one asset. The training setup defines a simulator with 30-minute steps, a categorical action space, a full-history state representation, a…

AkcijasRīkojumu izpildeMašīnmācīšanāsVēsturisko datu pārbaude
FMZ guides

This guide explains FMZ’s simulated-tick and real-tick backtesting modes. Simulated ticks are generated from candlestick data, while real-tick mode replays recorded tick data and can include depth and trade records. The guide describes the trade-off between…

Vēsturisko datu pārbaudeStatistikaRiska pārvaldībaRīkojumu izpilde
SuperMind

This post proposes a Chinese equity screen combining three conditions: daily amplitude above a threshold, at least two limit-up events within a 500-trading-day window, and a reversal or engulfing-style candle condition. It gives formula references and an…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss