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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

The document introduces PAIN, a price-action oscillator that displays an OHL3C candlestick price ratio over a chosen period. Its two controls are the calculation period and the moving-average method. The description identifies the moving average used in the…

Tehniskie indikatoriStatistika
MQL5 code base

The Expert Advisor described here trades changes in the direction of the HullTrendOSMA histogram. It generates a signal when a bar closes and the indicator’s direction has changed, making the strategy a reversal-signal approach. The document also states that…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This stock screen combines technical filters with valuation limits for Shenzhen main-board listings. It selects shares with RSI below 65, price-to-earnings ratios between zero and 29.01, price-to-book ratios between zero and 3.11, and a 30-day moving average…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The document explains the KDJ indicator’s calculation from a recent price range. It finds the highest high and lowest low over the selected period, then expresses the current close’s distance above the low as a percentage of that range. This raw stochastic…

Tehniskie indikatoriCenas impulss
MQL5 code base

This document describes a chart indicator for MetaTrader that extends the standard crosshair with two readings: the percentage difference between selected price points and the elapsed time between them. Time is displayed in familiar units such as hours,…

Tehniskie indikatoriRīkojumu izpilde
SuperMind

This stock-selection method requires a minimum daily price range, prior-day trading turnover above a stated threshold, and positive large-order net flow for at least three consecutive days. The article frames range as a measure of movement, turnover as a…

AkcijasTirgus mikrostruktūraSvārstīgumsRiska pārvaldība
BigQuant

This short platform discussion presents a manual construction of the KDJ oscillator alongside built-in KDJ functions. It first derives the raw stochastic value from the close’s position within the rolling ten-period high-low range. It then applies smoothing…

Tehniskie indikatoriAkcijasStatistika
SuperMind

This document describes a stock screen combining a positive MACD reading, a same-day upward spread between moving averages, and an intraday price range above a threshold. Its example calculates exponential averages to form MACD, compares five- and ten-day…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

The document proposes a Chinese stock screen combining four criteria: daily high-low amplitude above 1%, prior-day trading volume above 60 million, market capitalization below 10 billion, and positive net profits over the previous three years. It presents…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

The document describes an indicator that reports the minimum and maximum amplitude over a chosen period. It presents the measure as a way to observe volatility and the size of past price swings, and as a possible substitute for ATR. A relative amplitude…

SvārstīgumsTehniskie indikatori
SuperMind

This Chinese equity screen looks for shares priced below 12 yuan whose MACD is above zero while its value two trading sessions earlier was below zero. The stated intent is to find a recent move from negative to positive MACD territory while imposing a low…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
pyfolio

The document explains a MetaTrader 5 indicator that marks hammer, inverted hammer, and color variants on price charts. It identifies patterns by measuring candle bodies and wick proportions, then places a colored arrow near the candle’s high or low to flag a…

Tehniskie indikatoriSvārstīgums
MQL5 code base

This tutorial presents pyfolio as a Python toolkit for evaluating trading strategies through return, position, transaction, stress-period, and Bayesian analyses. Its central output is a set of tear sheets combining tables and plots, with lower-level plotting…

Portfeļa veidošanaRiska pārvaldībaVēsturisko datu pārbaudeStatistika
SuperMind

This stock screen selects shares with a daily price change above 1%, more than one year since listing, and a positive price-to-earnings ratio. Its rationale is that larger daily moves may indicate active trading, while a longer listing history may exclude…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This post proposes screening main-board stocks using a combination of price range, a streak of consecutive limit-up sessions on the prior day, and a current-day gain above a stated threshold. It presents the conditions as a way to focus on volatile stocks…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
MQL5 code base

This brief description explains an indicator-based breakout system built around a Mikahekin channel. The visual signal changes when price moves outside a gray channel, with blue indicating an upward trend and yellow indicating a downward trend. Candle colors…

Cenas izrāviensTehniskie indikatoriSekošana tendencei
SuperMind

This Chinese-language post describes an equity screening idea that combines a named “morning star” signal for Kute Intelligent with a condition requiring the 20-day moving average to exceed the 120-day moving average. It frames both as technical-analysis…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei
backtesting.py

This tutorial shows how to test a long-only strategy that combines daily and weekly relative strength index readings with a stack of moving averages. It uses daily price bars as the base data, resamples them to weekly intervals to calculate the…

AkcijasTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This stock-selection screen combines a minimum daily amplitude threshold with a minimum circulating market capitalization, then ranks qualifying shares by a popularity measure. The stated rationale is to focus on stocks that show price movement, have a…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus noskaņojums
MQL5 code base

This document outlines a basic automated scalp approach that uses the Zigzag indicator to identify recent price highs and lows. The system treats those swing points as potential support or resistance, draws a trend line based on the market’s reaction around…

Tehniskie indikatoriSekošana tendenceiRīkojumu izpildeRiska pārvaldība
BigQuant

This overview surveys practical considerations for AI and quantitative trading, from data quality and model choice to backtesting, risk controls, and portfolio allocation. It highlights that historical results can mislead when models are overfit or…

MašīnmācīšanāsStatistikaRiska pārvaldībaVēsturisko datu pārbaude
SuperMind

This proposed A-share screen looks for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no reported losses, then selects stocks whose prior-day 9:15 indicative matching price was at the lower price limit. The…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This stock-selection idea combines an amplitude threshold, weekly MACD conditions, and a three-candle pattern described as the Kute Smart morning star. The proposed screen seeks Chinese equities whose weekly MACD is above zero and whose recent candles match…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss