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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
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 79,386

Amberdata research

This podcast recap discusses Bitcoin’s volatility and derivatives market conditions around a sharp price decline and subsequent stabilization. It introduces implied volatility and volatility compression, and describes a reported contrast between elevated…

KriptoaktīviSvārstīgumsOpcijasAtvasināto instrumentu cenu noteikšana
Cryptohopper blog

The document outlines two ways to exit a profitable crypto trade: choose a fixed take-profit level or trail a stop-loss as the market moves. A fixed target might be based on resistance, a previous swing high, a round-number price, or a set distance from…

KriptoaktīviRiska pārvaldībaRīkojumu izpilde
BigQuant

BykovTrend presents its signals as colored candlesticks. Green candles indicate rising signals and orange candles indicate falling signals. Candle brightness distinguishes signals aligned with the prevailing trend from those running against it: aligned…

Tehniskie indikatoriSekošana tendencei
MQL5 code base

This research summary examines the low idiosyncratic volatility effect in China’s A-share market. It estimates volatility from the annualized standard deviation of residuals in CAPM, Fama–French three-factor, and Carhart four-factor regressions fitted to the…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaSvārstīgums
MQL5 code base

The Relative Momentum Index (RMI) adapts the Relative Strength Index by measuring price changes over a chosen momentum interval instead of comparing adjacent bars. Its calculation otherwise follows a similar structure. The momentum interval can be set to…

Tehniskie indikatoriCenas impulss
SuperMind

This note proposes screening Chinese stocks using a daily price-movement threshold, a nonempty outstanding convertible-bond name field, and a company-name keyword associated with the metaverse. The stated rationale is to identify stocks connected to a…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
BigQuant

This platform support note explains the intended use of a high-frequency feature extraction module. It takes fields from a specified Level-2, one-minute Chinese stock bar table and applies expressions compatible with pandas and NumPy to calculate…

Augstas frekvences tirdzniecībaTirgus mikrostruktūraStatistikaĶīnas tirgi
SuperMind

This note describes a Chinese equity screen that combines a metaverse theme, positive institutional activity, a lower daily low than the previous session, and a 30-day RSI below 30. The intended rationale is to find themed stocks with institutional interest…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
BigQuant

The discussion explains how to repeatedly reduce a model’s factor list using feature importance. The example starts with 15 factors, removes the three with the lowest importance after a training and backtest run, and repeats the process until five factors…

MašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaudeStatistika
SuperMind

The document presents a stock-selection screen combining three conditions: MACD above zero, share price below 12 yuan, and a weekly five-period moving average crossing above the ten-period average. It says the screen is run before 10 a.m. on each trading…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
ProRealCode

The document describes an approximation of a curvature trend indicator using an exponential moving average as its central trend line and average true range to scale upper and lower bands. The bands begin at a chosen ATR multiple from the moving average, then…

Tehniskie indikatoriSekošana tendenceiSvārstīgums
SuperMind

This A-share screening proposal selects stocks with daily amplitude above 1%, at least two limit-up sessions in the prior 500 days, and a gain below 6% at 9:25. It treats amplitude and prior limit-ups as signs of volatility and market attention, while the…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This A-share screening idea combines a turnover range of 3% to 12%, an opening price near the 10-day moving average, and a positive weekly chart signal described as a red bar. The article frames these filters as a way to find liquid, actively traded stocks…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
MQL5 code base

This brief note describes an extension to a limit-channel indicator that displays calculated states as a colored histogram. It groups channel levels into three speeds: inner levels are fastest, middle levels are intermediate, and outer levels are slowest.…

Tehniskie indikatoriStatistika
SuperMind

The post outlines a Chinese equity screening idea combining a minimum price-amplitude condition, rising lows, and an opening-auction return within a specified band. It also proposes excluding specially treated stocks and describes an exit rule based on the…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
BigQuant

This document summarizes research on two equity-market questions. The first uses China’s IPO approval process as a natural experiment to examine how a newly approved offering affects existing, substitutable stocks. It reports negative price effects around…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšana
SuperMind

This screening idea selects stocks whose daily range exceeds one percent, whose KDJ indicator has just crossed upward, and whose price lows are rising. The article frames a large range as evidence of higher volatility, a fresh crossover as a possible shift…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The screen seeks Chinese equities with at least five overlapping moving averages, a newly formed KDJ golden cross, and at least two limit-up sessions during the stated lookback. The article interprets moving average convergence as a possible support or…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
MQL5 code base

This document describes an implementation of a Balance of Power indicator as a color-coded histogram intended to show trend direction and strength. Histogram colors reflect configured overbought and oversold thresholds and changes in direction. The…

Valūtu tirgusTehniskie indikatoriRīkojumu izpilde
BigQuant

The document explains a Brinson framework for separating portfolio returns into a policy benchmark, active asset allocation or timing, security selection, and their interaction. The benchmark reflects long-term asset-class weights and passive returns.…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaStatistika
TqSdk

This reference organizes common TqSdk problems by symptom and suggests likely causes and corrective checks. It covers empty or stale market data, queued order requests that have not been sent through an update cycle, target-position tasks that fail to act,…

Rīkojumu izpildeRiska pārvaldībaVēsturisko datu pārbaudeTirgus mikrostruktūra
OctoBot

K’s reversal indicator combines Bollinger Bands with MACD to identify possible countertrend entries. The buy setup looks for price below the lower band while MACD crosses above its signal line; the sell setup mirrors this above the upper band with MACD…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsCenas impulss
ProRealCode

This document explains how OctoBot can receive TradingView alerts and use them to place exchange orders. Alerts may come from user-defined price levels, indicator conditions, or Pine Script strategies. The described workflow links the TradingView signal…

Rīkojumu izpildeTehniskie indikatori
MQL5 code base

This document describes a chart indicator for tracking groups of long and short symbols together. Users can configure up to 50 symbols in each basket, switch the chart to a listed symbol, move the display, and select the week for its historical statistics.…

Vairāku aktīvu tirdzniecībaTehniskie indikatoriRiska pārvaldībaStatistika