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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

MQL5 code base

This document describes an Expert Advisor built around a moving average with a fixed period of 55. Users can adjust its timeframe, horizontal shift, smoothing method, and applied price. The EA checks for signals only when a new bar forms and during a…

Tehniskie indikatoriSekošana tendenceiPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
SuperMind

This strategy uses a market regime filter built from momentum across 11 sector and style ETFs. It measures each ETF against a 25-day moving average and treats the broad market as showing momentum when at least six ETFs qualify. The portfolio buys small-cap…

AkcijasĶīnas tirgiCenas impulssSekošana tendencei
SuperMind

This short-term A-share screen focuses on stocks classified in the metaverse theme. It seeks names with an opening gain below 6% and a current high equal to the highest high across two days, combining a thematic universe with a near-term price strength…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This A-share stock screen combines a range expansion condition, a Bollinger Band location filter, and a historical dividend ratio threshold. It selects stocks whose daily high-low range exceeds its 20-day average, whose close lies between the middle and…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document describes a daily stock screen for Chinese main-board shares. It selects non-ST stocks with turnover between 3% and 12%, a daily gain above 1%, and more than one year since listing. The stated rationale is to combine active trading and positive…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
Qlib

This configuration defines a Qlib workflow for training a Temporal Fusion Transformer model on Alpha158 features for CSI 300 stocks. It sets Chinese market data from 2008 through mid-2020, using 2008–2014 for training, 2015–2016 for validation, and 2017–2020…

AkcijasĶīnas tirgiMašīnmācīšanāsVēsturisko datu pārbaude
OctoBot

The article compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their stated strengths, including strategy options, exchange compatibility, testing support, customization,…

KriptoaktīviTirgus veidošanaRežģa tirdzniecībaVēsturisko datu pārbaude
MQL5 code base

The document briefly describes a Color Schaff DeMarker Trend Cycle indicator. It characterizes the indicator as a Schaff Trend Cycle variant built from the difference between two DeMarker oscillators using different periods. This provides a high-level…

Tehniskie indikatoriSekošana tendenceiCenas impulss
Qlib

This Qlib documentation describes visual reports for evaluating intraday portfolios and prediction models. Portfolio reports display benchmark and portfolio cumulative returns, returns with and without transaction costs, turnover, drawdowns, and cumulative…

Vēsturisko datu pārbaudePortfeļa veidošanaRiska pārvaldībaMašīnmācīšanās
vn.py community

This forum exchange addresses two practical VeighNa questions: removing subscribed market contracts and closing an open futures position. A reply says the framework does not support unsubscribing, suggesting a restart and re-adding only the desired contracts…

Nākotnes līgumiRīkojumu izpildeRiska pārvaldība
ProRealCode

The Simple Decycler adapts John Ehlers’s high-pass filtering method to identify broad price trends while reducing short-wavelength fluctuations. It calculates a high-pass filter from the price series and subtracts that output from price, leaving a smoothed…

Tehniskie indikatoriSekošana tendenceiStatistika
SuperMind

This stock-selection rule combines a 14-period RSI below 65, positive daily return, and year-over-year growth in net profit attributable to parent shareholders above 20% and at most 100%. The article presents the combination as a way to find companies with…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This screen selects stocks in the metaverse sector that recorded a limit-up event within the previous 25 days and have year-over-year growth in net profit attributable to parent shareholders above 20% and no more than 100%. It also specifies selecting…

AkcijasĶīnas tirgiCenas impulssUz notikumiem balstīta tirdzniecība
MQL5 code base

This document describes an account dashboard for tracking five common proprietary trading challenge constraints: daily loss, maximum loss, profit target, minimum trading days, and the best-day consistency rule. It explains that loss limits can be configured…

Riska pārvaldībaPozīcijas apjoma noteikšanaValūtu tirgus
SuperMind

This stock screen combines metaverse-sector membership, a prior-day turnover threshold above 8%, and a rising-bottom chart pattern. The article presents rising bottoms as a way to identify prices recovering from a low and potentially continuing upward, with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
SuperMind

The document outlines a Chinese equity screening rule that combines a metaverse sector filter, a closing price above the 250-day moving average, and a positive product of price change and a large-order net-volume measure. The stated interpretation is that…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
ProRealCode

The document describes an RSI variant that places adjustable bands around the conventional center level. It calculates the RSI from closing prices, then sets an upper and lower band by adding or subtracting a multiple of the standard deviation of the RSI…

Tehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtības
MQL5 code base

This brief description presents a variation on the stochastic indicator. Instead of relying on the usual signal line, it uses normalized zones to help identify the prevailing trend and assess how much strength may remain in a trend change. The document…

Tehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This short-term stock screen combines three signals: a high-low range greater than one, a shortening negative MACD histogram on a 15-minute chart, and at least one limit-up move during the past month. The document interprets the range as a sign of…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

This screening idea combines a daily high-low range threshold, consistently strong return on equity over five years, and a filter related to the previous day’s limit-up status. The stated rationale is to pair a measure of price movement with a longer-term…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse sector. It selects stocks that experienced a limit-up move within the prior 25 days and whose current close is above the previous day’s low. The post describes selecting…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
MQL5 code base

This document describes a MetaTrader 5 version of the Elliott Wave Oscillator that lets the user choose the indicator’s calculation timeframe through an input parameter. The example default is a four-hour period, allowing the indicator to be configured…

Tehniskie indikatoriVairāku aktīvu tirdzniecība
SuperMind

This note proposes a Chinese equity screen for stocks with amplitude above 1, rising lows, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It combines a price-pattern condition with a sector theme and a…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums