Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

Quant Q&A
20,364 dokumenti
SuperMind
12,226 dokumenti
OKX Learn
8,431 dokumenti
Strategy library
7,910 dokumenti
MQL5 code base
7,090 dokumenti
BigQuant
3,481 dokumenti
Bitget Academy
3,298 dokumenti
MQL5 articles
3,012 dokumenti
TradingView scripts
1,976 dokumenti
ProRealCode
1,507 dokumenti
Deribit Insights
1,232 dokumenti
Machine Learning for Trading
1,124 dokumenti
arXiv papers
1,033 dokumenti
Amberdata research
766 dokumenti
FMZ forum
682 dokumenti
FMZ digest
662 dokumenti
vn.py community
560 dokumenti
QuantInsti blog
511 dokumenti
Galaxy Research
340 dokumenti
QuantStart
246 dokumenti
Stratmill research code
219 dokumenti
Robot Wealth
195 dokumenti
NautilusTrader
191 dokumenti
Hummingbot docs
181 dokumenti
Paradigm research
175 dokumenti
Lumibot
164 dokumenti
Kraken Learn
163 dokumenti
Kvantkursuste raamatukogu
157 dokumenti
OctoBot
152 dokumenti
Cryptohopper blog
144 dokumenti
Systematic trading blog (Rob Carver)
132 dokumenti
Qlib
116 dokumenti
Quantpedia
86 dokumenti
TqSdk
86 dokumenti
Hyperliquid docs
79 dokumenti
Freqtrade
68 dokumenti
Hudson & Thames
62 dokumenti
Awesome Systematic Trading
61 dokumenti
backtrader
54 dokumenti
vn.py
50 dokumenti
Quantopiani loengud
45 dokumenti
Binance API docs
45 dokumenti
FMZ guides
38 dokumenti
pysystemtrade
34 dokumenti
Freqtrade docs
32 dokumenti
quant-trading
31 dokumenti
FinRL
28 dokumenti
Zipline
22 dokumenti
FMZ live strategies
21 dokumenti
Jesse
17 dokumenti
pyfolio
16 dokumenti
Alphalens
14 dokumenti
WonderTrader
14 dokumenti
backtesting.py
11 dokumenti
Technical Analysis
9 dokumenti
QTPyLib
8 dokumenti
QuantRocket
7 dokumenti
Lumibot strategies
7 dokumenti
Awesome Quant
1 dokumenti

Otsi raamatukogust

79,386 dokumenti

ProRealCode

This indicator labels price bars using comparisons between each bar’s high and low and those of the preceding bar. It distinguishes inside bars, outside bars, bars making both a higher high and higher low, and bars making both a lower high and lower low. The…

Tehnilised indikaatoridAktsiad
SuperMind

The document describes a Chinese equity screening rule combining three conditions: daily amplitude above a threshold, evidence of main-fund control on the previous day, and a close above the previous day’s low. It frames the combination as a way to find…

AktsiadTehnilised indikaatoridHiina turud
BigQuant

This brief support note addresses a BigQuant workflow where a ranking strategy appears to backtest normally but produces no rebalance signals in simulated trading. It points to configuration and data-window checks: bind the code-list module’s end date to…

Tagantjärele testimineAktsiad
SuperMind

This stock screen selects companies associated with the metaverse concept, then applies a price condition and a relative-volume band. It requires the close to exceed the previous session’s low and volume relative to its five-session average to be above 1.5…

AktsiadHiina turudTehnilised indikaatoridRiskijuhtimine
SuperMind

This Chinese equity screen combines three conditions: at least five moving averages are described as converging, the tradable share float is no more than 5.5 billion shares, and the ten-day return is positive but below 35%. The article frames this…

AktsiadMomentumTehnilised indikaatoridHiina turud
MQL5 code base

The document describes a small expert advisor that manages an already open position using a trailing stop distance supplied by the trader. If that requested distance is smaller than the platform’s allowed minimum stop distance, the advisor adjusts it to the…

Tehingute täitmineRiskijuhtimine
SuperMind

This stock screen combines turnover between 3% and 12% with seven consecutive sessions in which the closing price falls, then filters for a daily price change below 2.6% and above -5%. The article presents the rule as a way to find stocks after a sustained…

AktsiadKeskmise juurde naasmineTehnilised indikaatoridHiina turud
NautilusTrader

The guide explains how NautilusTrader connects to Bybit for live market data and order execution across spot, linear and inverse contracts, and options. It describes product-specific symbol suffixes, instrument loading, and the differences among mainnet,…

KrüptoTehingute täitmineTuru mikrostruktuurHetketurud
SuperMind

This stock screen combines three daily price conditions: amplitude greater than 1%, an opening price within 5% of the 10-day moving average, and a current low below the previous day's low. The document includes formula and Python examples for calculating…

AktsiadTehnilised indikaatoridVolatiilsusHiina turud
SuperMind

This equity screen targets stocks in the metaverse sector that recorded a limit-up move within the prior 25 days and whose opening price falls between 2% below and 5% above the reference close. The post describes selecting candidates before 10 a.m. for…

AktsiadHiina turudMomentumLäbimurre
SuperMind

This stock screen combines a daily turnover rate between 3% and 12%, a positive change in the KDJ K value, and an indicator intended to identify institutional accumulation. The document provides formula and Python examples, with the Python version also…

AktsiadTehnilised indikaatoridMomentumHiina turud
SuperMind

The document explains the Crank–Nicolson implicit finite-difference scheme for solving the one-dimensional heat equation. It contrasts this approach with an explicit method that requires small time steps, describing Crank–Nicolson as averaging spatial…

Statistika
BigQuant

The document introduces a moving-average arrangement scoring model, or MASS, that assesses market direction and trend strength from the relative ordering of multiple moving averages. It aims to combine the smoothness of longer averages with the quicker…

AktsiadTrendijärgimineMomentumTehnilised indikaatorid
SuperMind

The document proposes a stock screen combining three conditions: relatively large price amplitude, upward divergence in the day’s moving averages, and a limit-down price at the prior session’s 9:15 matching stage. The stated rationale is to find volatile…

Hiina turudAktsiadTehnilised indikaatoridKeskmise juurde naasmine
MQL5 code base

This document describes a MetaTrader 5 class for rebuilding closed trades from their opening and closing deals in account history. The history is selected over a time range and organized by close time; callers can then enumerate reconstructed trades or…

Tagantjärele testimineStatistikaRiskijuhtimineTehingute täitmine
MQL5 code base

This short reference describes a higher-timeframe variant of the LeManChanel indicator for MetaTrader 5. The indicator exposes a timeframe input, with a four-hour period shown as the default, so users can select the chart period from which the indicator…

Tehnilised indikaatorid
MQL5 code base

The document describes a chart indicator that automatically positions two standard deviation channels. It offers a visual channel-based view of price behavior, but does not explain the calculation method, how the channels are anchored, or how a trader might…

Tehnilised indikaatoridVolatiilsus
SuperMind

This Chinese A-share stock screen selects shares with a daily high-low range above a stated threshold, while excluding Beijing-listed stocks and specified board categories. The article also describes a refinement that keeps prices close to a 60-period moving…

AktsiadHiina turudTehnilised indikaatoridRiskijuhtimine
MQL5 code base

The document outlines a function for opening a trade in an MQL5 environment. It describes deriving an opening price and take-profit and stop-loss levels from symbol data and user parameters, then preparing a trade request with details such as instrument,…

Tehingute täitmineRiskijuhtimine
MQL5 code base

CronexCCI adapts the MACD concept by applying it to a time series of Commodity Channel Index (CCI) values instead of prices. It displays the resulting indicator as a colored cloud, offering a visual way to examine changes and relationships in the transformed…

Tehnilised indikaatorid
Qlib

This paper description presents a learnable scheduler for sequence-learning problems with related prediction tasks, such as forecasting returns at different future horizons. During training, the scheduler chooses an auxiliary task based on the current model…

MasinõpeAktsiadHiina turudTagantjärele testimine
BigQuant

This forum post presents a workflow for combining predictions from three model outputs. It merges the datasets on instrument and date, preserves columns that are not already present, renames each model’s prediction column, and computes their arithmetic mean…

MasinõpePortfelli koostamineTagantjärele testimine
MQL5 code base

This short indicator description introduces round price levels as possible support or resistance. It gives EUR/USD examples at prices ending in two zeroes after the decimal point and describes an indicator that displays the two nearest such levels above the…

ValuutaturgTehnilised indikaatorid