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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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Hummingbot docs
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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
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backtrader
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vn.py
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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
Dokumentu skaits: 14
WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This long-only trend-following method compares closing price with 20-day, 50-day, and 100-day exponential moving averages. It enters after the close stays above all three averages for two consecutive days. It closes the position if price falls below any one…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This strategy uses the crossover of a Double Exponential Moving Average (DEMA) and a Triple Exponential Moving Average (TEMA) to signal entries. It calculates DEMA from two layers of exponential averaging and TEMA from three, aiming to balance responsiveness…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiKriptoaktīvi
Strategy library

This trend-following framework builds Ichimoku-style lines from Donchian channel midpoints over three lookback periods. It forms a conversion line from the shortest period, a base line from the middle period, and two leading lines, with the first averaging…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

The visible portion describes a Pine Script strategy that combines regime detection, trend and context filters, price-structure triggers, execution refinements, divergence checks, and risk controls. Its inputs include range and efficiency measures for the…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

The proposed method measures each five-minute candle's percentage change from the open recorded at 2:00 AM. Crossing an initial threshold triggers a position, with specified stop-loss and take-profit distances; a second threshold is intended to activate a…

KriptoaktīviNākotnes līgumiCenas izrāviensRiska pārvaldība
Strategy library

This short-term strategy combines regression-based price channels with a double exponential moving average (DEMA) filter. The narrative describes calculating upper and lower channel lines from recent highs and lows, then using the DEMA to judge the…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriSekošana tendencei
Strategy library

The source combines confirmed high and low fractals with a three-EMA alignment filter. It calculates exponential averages over 10, 20, and 100 periods, then defines bullish alignment when they rise in that order and bearish alignment when they fall in that…

Valūtu tirgusKriptoaktīviNākotnes līgumiSekošana tendencei
Strategy library

This strategy pairs an 8-period and a 21-period exponential moving average with pin bar and engulfing pattern signals. It takes long setups when a bullish pattern appears during an uptrend with price above the slower average, and short setups when a bearish…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a trading method based on the Hull Moving Average, designed to reduce some of the lag found in conventional moving averages. Its calculation uses weighted moving averages at different lengths, combines them, and smooths the result.…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The strategy uses two exponential moving averages, with a shorter period intended to respond faster than a longer one. A cross of the short EMA above the long EMA signals a long position; a cross below signals a short position. The document explains that an…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses a short and a long exponential moving average to choose direction: a cross above signals a long entry, while a cross below signals a short entry. Once a position is open, stop-loss and take-profit levels are calculated as fixed percentages…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines an upward EMA crossover entry with up to two averaging orders during a decline. It uses a fast and slow EMA to signal entry, then sets safety order levels either at fixed percentage drops or at distances based on ATR. The stated…

KriptoaktīviSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This TradingView script tracks daily changes in large holders’ aggregate crypto assets using IntoTheBlock data. It compares each change with a 21-period Bollinger Band calculated from those changes, then marks positive moves above the upper band as purchases…

KriptoaktīviBlokķēdes datiTehniskie indikatoriTirgus noskaņojums
Strategy library

This intraday MNQ strategy defines an opening range from 9:30 to 10:00 New York time, then places a limit order at the regular trading hours anchored VWAP from 10:01 onward. The direction comes from the opening range break: after an upside break, a buy limit…

Nākotnes līgumiCenas izrāviensSekošana tendenceiRīkojumu izpilde
Strategy library

This strategy combines Ichimoku conditions with Bollinger Band breaks to form long and short signals. Its trend checks include the conversion line relative to the base line, the lagging price relationship, and price relative to the cloud. The example long…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

This trend-following system combines Bollinger Bands with three Supertrend lines. It uses 20-period Bollinger Bands with a standard deviation multiplier of 2, plus three Supertrend calculations using an ATR length of 10 and factors of 3, 4, and 5. A long…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensSvārstīgums
Strategy library

This long-short system enters when a 14-period simple moving average crosses a 28-period average: an upward cross signals long exposure and a downward cross signals short exposure. Alongside these entries, it tracks strategy equity from its previous peak,…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses two RSI series with different lookback periods to generate directional trades. A crossover of the shorter RSI above the longer RSI signals a long position, while a cross below signals a short position. The documented defaults are 25 and…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

The strategy combines a 123 reversal signal based on recent closing prices and stochastic values with RAVI, which measures the relative gap between fast and slow moving averages. It enters long or short only when both components indicate the same direction;…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasSekošana tendenceiTehniskie indikatori
Strategy library

This strategy compares a simple moving average and an exponential moving average of the selected price source, both using a configurable smoothing length. An offset shifts the simple average upward and the exponential average downward. A cross of the shifted…

Tehniskie indikatoriSekošana tendenceiRīkojumu izpilde
Strategy library

This document presents a long-only setup using a 14-period simple moving average as a reference. It buys when the closing price falls below 99% of the average, treating that distance as an oversold pullback, then places a stop 10 points below the entry and a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy calculates RSI from a moving-average-smoothed price series and uses upper and lower bands to trigger entries. A cross above the lower band signals a long, while a cross below the upper band signals a short. It describes using OCO orders and…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This script outlines a pullback strategy for ENSO/USDT. It identifies direction with fast and medium exponential moving averages plus price relative to a slow average, then requires price to be near the medium average and on the matching side of VWAP. A…

KriptoaktīviTehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

The document describes a trend-following approach that identifies turns in a moving average using its rate of change (ROC). It says to go long when the faster average turns up after the other turns down, and short when it turns down after the other turns up.…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude