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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

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

Søk i biblioteket

3,012 dokumenter

MQL5 articles

The article describes an automated options risk-management framework using Black-Scholes Delta and Gamma calculations. Its proposed system combines an option position with trades in the underlying instrument, monitoring portfolio Delta and rebalancing when…

OpsjonerPrising av derivaterVolatilitetRisikostyring
MQL5 articles

The article introduces the Chaikin Oscillator as a measure of momentum in the Accumulation/Distribution Line, calculated as the difference between fast and slow exponential moving averages of that line. It explains the money flow multiplier and volume…

Tekniske indikatorerMomentumStatistikkHistorisk testing
MQL5 articles

The article explains the structure of Head and Shoulders and inverted Head and Shoulders patterns as potential trend reversal signals. It describes the head, two shoulders, and neckline, then outlines a possible market narrative in which a weakening trend…

Tekniske indikatorerKursbruddHistorisk testingRisikostyring
MQL5 articles

This article turns the eigenvalue spectrum of a portfolio covariance matrix into a normalized diversification measure. It computes log returns for the instruments, builds a covariance matrix, extracts and sorts its eigenvalues, and converts them into shares…

PorteføljekonstruksjonRisikostyringStatistikkFlere aktivaklasser
MQL5 articles

The article presents a preprocessing method for training an LSTM to forecast intraday currency prices. It encodes clock time as a fraction of the day and scales each day’s open, high, low, and close relative to the expanding intraday low and high. These…

MaskinlæringValutahandelStatistikkHistorisk testing
MQL5 articles

This article explains how to assemble a MetaTrader 5 Expert Advisor from reusable functions and configurable inputs. Its constructor approach centralizes trade execution checks, indicator setup, signal handling, and position or pending order management. A…

OrdreutførelsePosisjonsstørrelseRisikostyringTekniske indikatorer
MQL5 articles

This article describes a small change to a MetaTrader 5 replay and simulation system so its simulated trading display agrees more closely with live trading behavior. The original setup assigned a custom symbol digit property for chart display and also used…

OrdreutførelseHistorisk testingRisikostyring
MQL5 articles

This article describes changes to a reusable MQL5 strategy engine to support pending orders and hedging accounts. It adds methods for retrieving normalized Ask, Bid, and Last prices for the strategy’s working symbol, plus an overridden Digits method to avoid…

OrdreutførelseRisikostyring
MQL5 articles

The article adapts Self-Supervised Waypoint Noise Prediction (SSWNP) to financial trajectory forecasting. The method creates clean and noise-augmented versions of observed trajectories, then trains a prediction model on both so their forecasts remain…

MaskinlæringStatistikk
MQL5 articles

This article discusses practical steps for deploying machine-learning models through ONNX in MQL5, with attention to scaling, dimensionality reduction, and time-series inputs. It explains why features on different scales can impair distance calculations,…

MaskinlæringStatistikkHistorisk testing
MQL5 articles

This article extends a MetaTrader 5 history navigator with named bookmarks that preserve a chart’s symbol, timeframe, timestamp, and optional notes. It describes how these records let traders return to notable historical patterns, reversals, breakouts,…

Flere aktivaklasserHendelsesdrevet handel
MQL5 articles

This article proposes an empirical test of whether short-term market behavior differs by weekday, drawing on Larry Williams’ Trade Day of the Week concept. Its controlled setup uses a volatility-based entry level projected from the prior day’s range and…

FuturesKursbruddStatistikkHistorisk testing
MQL5 articles

This tutorial outlines a workflow for retrieving historical bars from MetaTrader 5, saving them to CSV, and preparing them in Python with pandas. The examples cover UTC time handling, inspecting file structure, parsing dates and times, checking for missing…

MaskinlæringStatistikkTekniske indikatorer
MQL5 articles

This article turns a normalized least-mean-squares (NLMS) adaptive filter into an MQL5 chart indicator called SAMA. It describes configurable input transformations using prices, differences, or returns; adaptive filter weights; and slope-based line coloring.…

Tekniske indikatorerMaskinlæringRisikostyring
MQL5 articles

The article explains how to build interactive button controls for a MetaTrader graphical interface. It develops simple buttons with configurable text, size, colors, pressed states, and availability, then extends the design to icon buttons and split buttons…

OrdreutførelseMarkedsmikrostruktur
MQL5 articles

The article shows how to turn candle data returned by an external API into arrays that are easier to analyze in MQL5. After splitting the response into per-candle fields, it identifies the positions for opening time and OHLC prices, then groups comparable…

OrdreutførelseStatistikk
MQL5 articles

The article describes reusable time filters for controlling when an expert advisor may perform an action. It covers date ranges, selected days of the week, and timers with configurable durations. Filters can be activated or reversed, and a container can…

OrdreutførelseHistorisk testing
MQL5 articles

The article explains how a Kohonen self-organizing map (SOM) clusters input patterns without labeled targets. Each neuron competes to match an input vector, and the winning neuron and its neighbors adjust their weights. The learning rate and neighborhood…

MaskinlæringStatistikk
MQL5 articles

This article modifies a Bollinger Band trading system by using logistic regression to estimate trade confidence and vary position size. The underlying rules sell when price moves above the upper band and buy when it falls below the lower band, with…

ValutahandelTekniske indikatorerMaskinlæringPosisjonsstørrelse
MQL5 articles

This article introduces DBSCAN as a way to cluster data for MQL5 Expert Advisor signal logic. Unlike k-means and agglomerative approaches that require a chosen cluster count, DBSCAN uses a neighborhood distance parameter and a minimum number of points to…

MaskinlæringStatistikkHistorisk testing
MQL5 articles

This article explains four historical volatility estimators that use different portions of each bar’s OHLC data: close-to-close, Parkinson, Garman-Klass, and Yang-Zhang. Close-to-close uses only closing prices, while the range-based alternatives incorporate…

VolatilitetStatistikkTekniske indikatorer
MQL5 articles

This installment extends a web application for managing multiple MetaTrader 5 terminals. It introduces a configuration file to replace hard-coded terminal paths and adds an API route intended to return information for one terminal, including account number,…

OrdreutførelseRisikostyring
MQL5 articles

The article explains volume as a market activity measure, noting that Forex platforms commonly show tick volume while exchange-traded instruments can report traded quantity. It presents simple ways to interpret volume: compare the current reading with the…

ValutahandelTekniske indikatorerMomentum
MQL5 articles

This article combines measurements from an earlier microstructure series into six session labels: Normal, Stressed, Noisy, Informed, Trending, and Mean-Reverting. A priority-ordered rule set applies empirical thresholds to volatility, noise, order flow,…

FuturesMarkedsmikrostrukturStatistikkPosisjonsstørrelse