Pāriet uz saturu

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 indicator is presented as a generalized adaptive moving average related to Kaufman’s adaptive moving average. The described adaptation accounts for where the close falls within the high-low range. The generalized implementation changes the calculation…

Tehniskie indikatoriSekošana tendencei
SuperMind

This Chinese equity screening proposal selects stocks with a 13-period RSI below 65, first-level bid volume greater than ask volume, and increasing money-flow strength. Its examples calculate a volume-weighted flow measure from the close’s position within…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article outlines a Chinese equity screening approach that combines price amplitude with recent limit-up activity and a date restriction. It also provides example formula and Python implementations, then proposes adding fundamental analysis, broad market…

AkcijasĶīnas tirgiCenas izrāviensCenas impulss
MQL5 code base

This indicator displays the current candle’s price change as a percentage of its opening price. Users can select the candle timeframe and display up to eight pairs on a chart, making it possible to compare this measure across several instruments at once. The…

Tehniskie indikatori
BigQuant

This opinion article argues that individual A-share traders face disadvantages against quantitative firms through both speed and market rules. It contrasts claimed latency figures for colocated trading systems and retail apps, then describes the T+1…

AkcijasĶīnas tirgiAugstas frekvences tirdzniecībaTirgus mikrostruktūra
BigQuant

This research summary reports tests of 23 alpha factors across seven categories in the Hang Seng Composite and Stock Connect universes. It says valuation, profitability, and growth factors were significant, with information coefficients around 3%. A…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
BigQuant

This training overview outlines a proposed workflow for using multimodal large language models in quantitative investing. It combines time-series databases, knowledge graphs, and reinforcement learning in a pipeline that connects data, signals, and portfolio…

MašīnmācīšanāsFaktoru ieguldīšanaTirgus noskaņojumsPortfeļa veidošana
SuperMind

This document describes a China A-share screening rule that selects stocks with daily amplitude above 1, circulating market value above 10 billion yuan, and a rising 30-day moving average. The author presents amplitude as a proxy for trading activity, market…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
FMZ forum

The article describes three ways strategy research can produce misleading backtests: look-ahead bias, excessive parameter optimization, and curve fitting. Its examples show how using a bar’s eventual close to trigger an earlier trade, or assuming a breakout…

Vēsturisko datu pārbaudeRiska pārvaldībaRīkojumu izpildeStatistika
MQL5 code base

The document describes a chart indicator that scans for thirty popular candlestick patterns and marks detected patterns on the price chart. Users can configure the display by pattern group—one-bar, two-bar, or three-bar formations—and individually enable or…

Tehniskie indikatoriAkcijas
SuperMind

This stock screen selects companies associated with China’s metaverse theme using actual turnover thresholds across two consecutive sessions. It requires prior-day turnover to fall between 3% and 28%, and current-day turnover to fall between 3% and 12%. The…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
ProRealCode

The indicator replaces fixed swing highs and lows with levels that decay over time by a fraction of ATR(200) per bar. Confirmed pivots reset their side’s level, so newer swings take precedence. A break occurs when price crosses the eroded level; the level…

Tehniskie indikatoriCenas izrāviensSvārstīgumsSekošana tendencei
SuperMind

This Chinese equity screen combines price amplitude above 1, a positive weekly MACD bar, and a 2019 dividend ratio above 25%. The article describes the first condition as selecting volatile stocks, the weekly signal as evidence of upward momentum, and the…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening proposal combines three conditions: market capitalization below 10 billion yuan, no history of losses, and positive net buying by major investors in the opening auction, alongside a stated threshold for the day’s increase in…

Ķīnas tirgiAkcijasTirgus noskaņojumsRiska pārvaldība
SuperMind

The proposed Chinese equity screen ranks stocks by capital strength, then requires a dividend ratio above 25% for 2019 and more than two limit-up sessions within ten days. The article interprets capital strength and repeated limit-ups as signs of investor…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

This indicator displays arithmetic and geometric moving averages in one chart window. Both are calculated from the average of each bar’s open, high, low, and close prices, rather than from closing prices alone. Users can set a separate lookback period for…

Tehniskie indikatori
SuperMind

This document describes a Chinese stock screen using three main conditions: a 14-period RSI below 65, positive afternoon large-order net inflow, and an opening move under 6% relative to the prior close. Its final stated selection logic also ranks stocks by…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This article describes a timing rule that uses changes in the gap between short- and long-term moving averages, instead of relying only on their crossover. It defines the gap as the short average minus the long average, then interprets the gap’s expansion or…

AkcijasSekošana tendenceiCenas impulssTehniskie indikatori
SuperMind

This document presents a Chinese equity screen combining daily amplitude above 1, a rising price bottom, and large-order net inflows above 0.05 for at least three consecutive days. It adds a trend filter requiring the 20-day average above the 250-day…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
MQL5 code base

The script described in the document scans bars on a one-hour chart to calculate average volume per hour. It is restricted to that chart timeframe and uses the absolute value of volume in its calculation. The result is displayed in a message box, giving the…

Rīkojumu izpildeTirgus mikrostruktūraStatistika
MQL5 code base

The described MT5 indicator gathers several measures of current market activity into a chart-side dashboard. It displays spread, volatility, volume activity, and daily range, with simple labels intended to distinguish normal, quiet, and highly volatile…

SvārstīgumsTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This post outlines a stock-selection screen that ranks shares by trading volume and filters for recent positive returns and a stated concentration condition. It presents volume as a proxy for market money flows and recent gains as a way to find stocks with…

AkcijasCenas impulssTehniskie indikatori
BigQuant

The report describes a framework that combines strategic asset allocation with tactical timing. Strategic weights favor assets that are relatively strong under different economic conditions, while tactical adjustments change overweights and underweights. Its…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaFaktoru ieguldīšanaCenas impulss
ProRealCode

This indicator aims to show whether a trend is present and how strong it is by comparing a moving-average channel with a longer price range. For each selected moving-average period, it measures the recent high-to-low span of the average and compares that…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsStatistika