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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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

SuperMind

This Chinese equity screen selects stocks classified in the metaverse industry when the opening price is near the ten-day moving average and the KDJ indicator has just crossed upward. The document explains that the moving average supplies a price reference…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

This indicator combines five-candle fractal detection with a Commodity Channel Index filter. It displays a signal only when CCI meets a configurable threshold on the candle associated with the fractal, aiming to screen out some signals during sideways…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
ProRealCode

This document defines Wilder’s channel as two volatility-adjusted boundaries. The upper line adds a scaled Average True Range value to a Wilder average of highs, while the lower line subtracts the same volatility adjustment from a Wilder average of lows. Its…

Tehniskie indikatoriSvārstīgums
SuperMind

This document describes a Chinese equity screening rule combining a turnover range of 3% to 12%, three consecutive declining sessions, and afternoon net inflows from large orders. It presents the screen as a way to combine price action, trading activity, and…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
MQL5 code base

The document introduces a basic MetaTrader 5 version of a trend direction and force indicator, adapted from an older MetaStock indicator. It says the tool aims to show both which way a trend is moving and how intense it is. The suggested signal is the first…

Tehniskie indikatoriSekošana tendencei
MQL5 code base

This Expert Advisor uses a price-extreme channel to generate trades. By default, a close above the upper channel boundary opens a long position, while a close below the lower boundary opens a short position. It checks signals on each new bar, closes opposing…

Cenas izrāviensAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This stock-selection rule combines a 14-period RSI below 65 with three consecutive declining sessions and a minimum listing age. The example implementation specifies more than 120 days since listing and evaluates the RSI and recent candle conditions to form…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
ProRealCode

This ProRealTime indicator identifies support and resistance areas by grouping historical price pivots into price bands. Its settings control the pivot lookback, whether pivots use highs and lows or open and close values, the maximum band width, the number…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

This stock-selection proposal combines a technical filter with a profitability screen: choose main board stocks with RSI below 65, a daily gain above 1%, and return on equity above 15% in each of the previous five years. The author presents RSI as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
BigQuant

This brief BigQuant Q&A addresses whether to exclude stocks listed on China’s ChiNext and STAR Market boards when building an AI trading strategy. Its central recommendation is to apply the exclusion during both model training and prediction, so the model is…

Ķīnas tirgiMašīnmācīšanāsVēsturisko datu pārbaude
ProRealCode

This indicator builds five nested ZigZag levels: the first uses a configurable lookback, and each higher level is derived from turning points in the level below. It is designed to condense price action into progressively larger swings and can optionally…

Tehniskie indikatoriSekošana tendenceiStatistika
ProRealCode

The Commodity Selection Index (CSI) is presented as a way to rank commodities by trend strength before applying a trend-following system. The document describes Wilder’s original calculation as combining ADXR, a 14-period average true range, and factors…

IzejvielasAkcijasSekošana tendenceiTehniskie indikatori
BigQuant

The document presents Follow-the-Leader, a factor-based method for constructing a smaller portfolio that tracks a broad equity index. Instead of selecting stocks only by index weight or correlation with index returns, the method estimates the number of…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaude
BigQuant

This brief help note answers how to test Python code with breakpoints, including whether a workflow similar to PyCharm’s breakpoint debugging is available. It suggests using Python’s built-in pdb debugger to pause execution and inspect a program while it…

Statistika
SuperMind

The document describes a Chinese equity screen that combines daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and a day-over-day increase in volume above 5%. It explains the intended rationale: price movement may…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
Amberdata research

This weekly market recap reviews Bitcoin and Ether derivatives conditions, including realized volatility, implied-volatility term structure, skew, option flows, and dealer gamma. It describes weak spot prices alongside subdued realized volatility, while…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
MQL5 code base

This document describes an automated trading system that uses a Trend Intensity Index oscillator. A signal is generated at the close of a bar when the indicator moves into an overbought or oversold zone, shown by a change in its color. The system is…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
MQL5 code base

The document describes a third-generation moving average indicator for MetaTrader 4 and identifies the applied-price setting, which defaults to typical price. It compares the indicator visually with a conventional exponential moving average, claiming that…

Valūtu tirgusTehniskie indikatoriSekošana tendencei
MQL5 code base

The document describes an expert advisor that uses Bollinger Bands and RSI thresholds to generate trades. Its listed settings include an eight-period RSI, a high threshold of 90 for selling near the upper band, and a low threshold of 10 for buying near the…

Valūtu tirgusTehniskie indikatoriSvārstīgumsRiska pārvaldība
ProRealCode

This daily S&P 500 strategy combines moving-average trend filters with staged long entries and a short setup. Long entries are allowed when price is above a rising 125-day average but below a 14-day average; the system can add contracts when price is above a…

Nākotnes līgumiASV tirgiSekošana tendenceiTehniskie indikatori
SuperMind

The screen targets Chinese stocks with a daily amplitude above 1%, appearance on the prior day's 龙虎榜 (top trading list), and more than two limit-up days in the previous ten sessions. It combines recent price movement, reported trading attention, and repeated…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
vn.py community

The discussion addresses adding five- and fifteen-minute intervals to VN.py version 3.4.0 for backtesting. One reply suggests that when the source data is already stored at those resolutions, importing and selecting it as one-minute data can work because…

Vēsturisko datu pārbaudeRīkojumu izpildeNākotnes līgumi