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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
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
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Amberdata research
Dokumentu skaits: 766
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
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
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Binance API docs
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FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
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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: 7,910

Strategy library

This system combines trend following with an oversold short setup. It uses 100- and 500-period moving averages to frame the market direction, with optional RSI, ADX, and ATR filters for long entries. Shorts require price below both averages and the lower…

Sekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This script builds standardized measures from ratios involving the VIX and VVIX, the MOVE index and inverse VIX, and oil prices and oil volatility. Each ratio is compared with its rolling mean and standard deviation to produce a z-score. Configurable display…

SvārstīgumsStatistikaTehniskie indikatoriIzejvielas
Strategy library

The Multi-Bar Direction strategy estimates how often consecutive candlesticks move in the same direction, using configurable runs of two to seven bars. It treats a continuation probability below 50% for a selected run length as a potential reversal…

StatistikaAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy, inspired by Linda Bradford Raschke’s work on US Treasury note futures, uses a five-day simple moving average to define trend direction. It watches for price to remain on the opposite side of the average for more than eight days, then enters…

Nākotnes līgumiFiksēta ienākuma instrumentiSekošana tendenceiTehniskie indikatori
Strategy library

This script adapts the CM Sling Shot System around a fast and a slow EMA, with default lengths of 38 and 62. The EMA ordering indicates the prevailing direction: a fast EMA above the slow EMA marks an uptrend, while the reverse marks a downtrend. Aggressive…

Tehniskie indikatoriSekošana tendenceiCenas impulss
Strategy library

This excerpt describes a five-minute MNQ futures strategy that combines EMA trend direction with pullback entries. It classifies trend using a fast EMA and a slower EMA, then looks for price to touch or cross the fast average and close back on the trend…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses a fast and slow EMA crossover to set direction, then filters entries by RSI ranges intended to avoid extreme readings. It describes long signals when the fast EMA crosses above the slow EMA with RSI between 40 and 70, and short signals on…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

The visible portion of this strategy source outlines a market-regime and signal-confluence framework. It exposes an ADX threshold for trend classification and an ATR ratio threshold for identifying higher volatility. Trend context can draw on a…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This strategy looks for three consecutive completed bars closing outside a 20-period Bollinger Band. A Vortex filter must also indicate directional strength, and RSI must be in an extreme zone: the source pairs upper-band breaks with an overbought reading…

KriptoaktīviNākotnes līgumiCenas izrāviensAtgriešanās pie vidējās vērtības
Strategy library

This long-and-short strategy combines a WaveTrend signal with a longer-term EMA trend filter, a shorter-term EMA pullback or reclaim, and a custom money-flow measure. For a long, price must be above the longer EMA, the WaveTrend conditions must align, the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy turns price swings into geometric pattern rules. It looks for primary moves and smaller corrections whose heights match user-defined percentage targets, then checks pattern width and trend direction. Bullish and bearish versions cover both…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

This strategy separates true range into upward and downward components according to whether the close rose or fell. It computes weighted moving averages of those components over fast and slow periods, then smooths their difference to form a trend indicator.…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This long-only approach seeks sustained upward moves in Bitcoin and Ethereum using a set of trend filters. It calculates a 20-period EMA and 100- and 200-period simple moving averages, then checks whether those averages are rising and whether price and the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This example outlines a continuous-futures algorithm using a daily S&P 500 E-mini series. It selects backward-ratio price normalization and open-interest contract mapping, then uses a 20-period EMA comparison with price to choose a long or short position in…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRīkojumu izpilde
Strategy library

This NQ futures strategy seeks reversals after unusually high-volume, wide-range bars. It places symmetric limit orders just beyond the reaction bar’s high and low, aiming to enter when price snaps back toward the bar’s middle. The first order filled takes…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasSvārstīgumsRīkojumu izpilde
Strategy library

This trend-following method builds a channel from 34-period exponential moving averages of the high and low. It enters long when the closing price crosses above the upper EMA and short when it crosses below the lower EMA. The text describes fixed-point…

Nākotnes līgumiSekošana tendenceiCenas impulssCenas izrāviens
Strategy library

This strategy combines a range filter with a long-term exponential moving average to time long and short entries. The range filter adapts to recent price movement: it smooths changes in range, then moves its central level only when price clears a calculated…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy looks for a short entry on a five-minute chart after a specific sweep near the current day’s high. The preceding candle must be bullish and have reached the running daily high. The current candle must trade above that preceding high, then close…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses a Parabolic SAR variant to identify possible trend reversals and trade in both directions. Its indicator tracks an extreme price and a trigger level: as the trend develops, a break through the trigger is treated as a reversal signal. The…

KriptoaktīviNākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This document describes a Binance spot grid strategy that places buy and sell orders around the market and adds profit-taking and stop mechanisms. Grid spacing and trade size are configurable. After a fill, it tracks the position and average price, cancels…

KriptoaktīviTūlītējo darījumu tirgiRežģa tirdzniecībaRiska pārvaldība
Strategy library

This trend-following system uses three simple moving averages with periods of one, two, and four. It enters long when the one- and two-period averages both cross above the four-period average on the same bar. When both cross below it, the system closes the…

KriptoaktīviTūlītējo darījumu tirgiSekošana tendenceiTehniskie indikatori
Strategy library

This document presents a configurable moving-average crossover strategy that adds filters for volatility, momentum, and trading time. It offers EMA, SMA, WMA, or HMA averages with adjustable fast and slow lengths. The visible volatility rule permits signals…

Nākotnes līgumiSekošana tendenceiSvārstīgumsCenas impulss
Strategy library

This Bitcoin scalping approach uses a fast and slow simple moving average on a stated five-minute timeframe. A bullish crossover can trigger a long entry when a qualifying candle pattern is present; the prose specifies a hammer or marubozu, while the code…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This Bitcoin daily strategy combines MACD, RSI, Stoch RSI, and a moving average to form long and short signals. The described long condition pairs low Stoch RSI with either a MACD threshold cross or an RSI threshold cross. The described short condition…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori