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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
Dokumentu skaits: 560
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
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
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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
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 strategy combines a 123-style reversal signal with a relative volatility index (RVI) and trades only when both components agree. The reversal component uses recent closing-price direction and a stochastic oscillator condition to identify potential…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This intraday strategy tracks the Asia session high and low, then watches for a sweep beyond either boundary during a defined London window. The first sweep sets a directional state. An entry requires a same-direction displacement candle whose body exceeds…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines moving average direction with a volume-based filter to generate long and short signals. Its description says a fast average crossing above a slower one favors a long position, while a downward cross favors a short; a volume indicator…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This short-term BTC/USDT futures strategy uses confirmed fractal swing points to define potential channel boundaries. It recognizes local highs and lows, optionally filters them using an extreme-price test, and tracks recent fractal levels. A volume moving…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This indicator combines RSI threshold crossings with a percentage-based zigzag rule to mark changes in direction. It calculates RSI from closing prices, flags a potential upward move when RSI crosses above its oversold threshold, and flags a potential…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

This simple BTC/USDT spot rule compares each new ticker price with the last price it processed. If price has risen by more than a set threshold, it sells a fraction of the BTC balance; otherwise, it buys using a fraction of available quote currency. After a…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpildePozīcijas apjoma noteikšana
Strategy library

This strategy uses MACD fast and slow line crossovers to flag possible market turning zones. At a bullish crossover, it looks for both a rising close and a rising MACD difference relative to the prior crossover reference; at a bearish crossover, it looks for…

Tehniskie indikatoriCenas impulssNākotnes līgumiKriptoaktīvi
Strategy library

This strategy identifies changes in the slope of a single moving average to generate trend-following signals. The trader chooses an SMA or EMA and a lookback period; the strategy calculates the average’s rate of change and compares it with a positive or…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

The available portion of this Pine Script strategy combines confirmed price fractals with the Alligator indicator’s teeth, calculated as a smoothed midpoint average with an offset. It tracks the latest upper and lower fractal levels, then makes a level…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This strategy combines Ichimoku conditions with RSI to define trend entries. Long setups require the conversion line above the base line, a positive lagging-span momentum condition, price above the cloud, and RSI below 50. Short setups reverse the Ichimoku…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This trend-following system combines EMAs calculated from highs and lows, an ATR-based SuperTrend direction, and recent swing points. A close beyond an EMA channel marks a potential setup; the strategy then waits for a subsequent candle to break the signal…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a fast and a slow simple moving average to generate long signals on an upward crossover and short signals on a downward crossover. It sets an initial take profit as a percentage from the entry reference price. With trailing enabled, the…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses the Percentage Price Oscillator (PPO) to identify possible reversals when price and momentum diverge. It calculates PPO from fast and slow exponential moving averages, then compares successive price and PPO pivot highs or lows. A lower…

Cenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses Heikin Ashi candles from daily, weekly, and monthly timeframes to seek aligned trends. It opens a long position when all three timeframes are bullish and a short position when all are bearish. After entry, a change in any timeframe’s…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This trend-following method combines On-Balance Volume (OBV), the Commodity Channel Index (CCI), and an EMA of OBV. CCI assigns a bullish or bearish regime relative to a threshold, while OBV represents volume flow according to the direction of price changes.…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiCenas impulss
Strategy library

The Vol-Target Trend Engine describes a risk-allocation approach for leveraged index ETFs. A 200-day simple moving average acts as a regime gate: the strategy holds exposure only when price is above the average and closes positions when the regime turns off.…

AkcijasSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This proposed reversal system combines MACD crossovers, RSI extremes, smoothed price bands, and a volume check. A long signal requires a bullish MACD crossover while RSI is below its oversold level, price is below the lower band, and volume exceeds its…

Nākotnes līgumiTehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
Strategy library

This BTC futures strategy combines MACD crossovers with separation between the 25-period and 45-period simple moving averages. A ZLSMA line is included to represent the medium- to long-term trend, although the source entry rules do not use it as a condition.…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines an oversold RSI reading with unusually high volume to trigger long entries. Its defaults use a 14-period RSI, a 30 oversold threshold, and volume above 1.5 times its 20-period simple moving average. It can add up to three positions,…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This trend-following system uses 9-period and 21-period exponential moving averages to define market direction. When the shorter EMA is above the longer one, a close crossing above the short EMA opens a long position; when it is below, a close crossing…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This script describes a reversal strategy using a 50-period RSI and fixed thresholds. It enters long when RSI crosses above 30 and short when RSI crosses below 38, provided the current time passes its trading-hours check. Each entry sets a take-profit limit…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

The strategy builds upper and lower bands from confirmed price highs and lows over a lookback window. A high qualifies as a peak when surrounding highs in the window are lower; a low qualifies as a trough when surrounding lows are higher. A close above the…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses 8- and 14-period exponential moving averages for directional crossover signals, with RSI, MACD, and ATR as filters. A long signal requires the fast EMA to cross above the slow EMA, RSI below 70, MACD above its signal line, and ATR to rise…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

The JIMENEZ strategy seeks trend continuation after a breakout and retest. It classifies candles by body and wick size, looks for a strong directional candle after an indecisive one, and checks whether a prior candle retested a nearby reference close within…

Cenas izrāviensSekošana tendenceiSvārstīgumsRiska pārvaldība