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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
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
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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
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
Dokumentu skaits: 45
Binance API docs
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
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy uses the sign of a TrendAlert input to choose long or short entries when no position is open. It calculates ATR over a configurable lookback and places stops using either the recent low or high structure, or the close, with an ATR offset. A…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This channel breakout strategy estimates a price center using linear regression on closing prices over a configurable lookback. It offsets that center by a percentage of current price to create inner and outer upper and lower bands. The selected band pair…

Nākotnes līgumiKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This TradingView strategy combines swing-point liquidity sweeps with moving-average trend and volatility filters. It defines supply and demand zones from confirmed pivot highs and lows, then looks for price to pierce and close back through a zone boundary. A…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiRiska pārvaldība
Strategy library

This strategy uses Williams-style fractals to update recent swing highs and lows, then places stop entries around those levels. A break above the latest fractal high can enter a long position, while a break below the latest fractal low can enter a short…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

This strategy combines 9-, 21-, and 200-period exponential moving averages to display market conditions and manage a long position. It defines a bullish state when price is above the 9-period EMA and that EMA is above the 21-period EMA; it opens a long…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines moving average crossovers with RSI, MACD, Stochastic, ADX, and a 200-period moving average to assess short-term direction. It also considers recent volatility and describes adjusting entries, stop-loss and take-profit levels, and…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy uses Supertrend to classify the prevailing direction and an EMA crossover to trigger trades. A short EMA crossing above a medium EMA while Supertrend indicates an uptrend opens a long position; a downward crossover aligned with a downtrend…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy pairs a two-way reversal rule with the Chande Momentum Oscillator (CMO). The reversal component looks for a change in the recent direction of closing prices and checks the Stochastic oscillator against a threshold. The CMO component compares…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

This script pairs a time-of-day filter with liquidity and breakout conditions to enter long or short trades. It defines a liquidity event as price exceeding a prior 30-bar high or falling below a prior 30-bar low, then requires a close crossing the preceding…

Valūtu tirgusCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following method pairs a 200-period simple moving average with a comparison of consecutive candle bodies. It buys when price closes above the average and the current candle is bullish with a larger body than the prior candle. It sells short when…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This short-selling system looks for signs of a rapid price surge and then seeks entries after momentum cools. A pump is flagged when RSI reaches 70 or when volume exceeds 1.5 times its 20-period average alongside a one-bar rise above 5%. The post-pump setup…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This script is a configurable dollar-cost averaging simulation for crypto. It offers a base order, recurring purchases at a chosen interval in candles, and optional safety orders that can be triggered after a specified price decline. Safety-order size and…

KriptoaktīviTūlītējo darījumu tirgiPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
Strategy library

This system combines a long-term moving-average filter with an ATR-based SuperTrend to trade in the direction of aligned trends. It opens a long when price is above the moving average and SuperTrend indicates an uptrend, and opens a short when both indicate…

Nākotnes līgumiSekošana tendenceiSvārstīgumsTehniskie indikatori
Strategy library

This combined system pairs a short-term reversal signal with a T3 moving-average trend signal. Its 123 component looks for a close that turns upward after a lower close, with stochastic conditions used as confirmation; the source code specifies a 14-period…

Atgriešanās pie vidējās vērtībasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy adapts a Mark Minervini-style stock screen into rule-based trend entries. It requires price to be above the 50-, 150-, and 200-day averages, with the averages ordered to support an uptrend and the 200-day average rising versus about a month…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses the Commodity Channel Index (CCI) to trade against extreme readings. It describes a long signal when CCI crosses below -150 and a short signal when it crosses above 150, followed by market entry and fixed profit and loss exits of 1% and…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This system uses Bollinger Bands for entries that can be read as reversal signals: a long follows a move back above the lower band, while a short follows a move back below the upper band. It describes three exit layers: a band-zone condition after a minimum…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSekošana tendenceiRiska pārvaldība
Strategy library

This strategy description schedules a trade at a chosen hour and minute, then uses the five-minute Average True Range (ATR) to set a price target relative to the entry price. The stated parameter set includes a trade time and ATR length. ATR offers a…

Nākotnes līgumiKriptoaktīviSvārstīgumsTehniskie indikatori
Strategy library

This strategy uses a price channel and deviation-based Noro Bands to maintain a bullish or bearish trend state. Its entries are not simple band breakouts: after the trend state is established, it can buy on bearish candles or when price is below the high…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This short-term strategy combines a 5-minute trend filter with 1-minute entry signals. It uses a 200-period EMA on the higher timeframe to set the permitted direction, then enters when price crosses the 1-minute 20-period EMA in that direction. Each trade…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy description combines directional movement signals, RSI thresholds, and a trailing stop for long and short trading. The prose proposes using ADX above 20 to identify a trend, with +DI and -DI crossovers indicating direction, and RSI readings…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

This document describes a configurable trend-following strategy built around two moving averages, each selectable as a simple or exponential average. Traders can choose whether entries and exits use price crossing either average or the fast average crossing…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaudeNākotnes līgumi
Strategy library

This strategy uses 21-, 55-, and 200-period exponential moving averages to filter trend direction, with a 14-period RSI to close positions. A long entry occurs when the shorter EMA crosses above the middle EMA while both are above the 200-period EMA and…

Tehniskie indikatoriSekošana tendenceiCenas impulssVēsturisko datu pārbaude
Strategy library

The document describes an automated strategy that combines trend, momentum, volatility, and volume signals. Its indicator set includes a Jurik moving average, range filter, ADX, Parabolic SAR, volume-weighted RSI, MACD or MAC-Z, a volume condition, and…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība