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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
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
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
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
Quantpedia
Dokumentu skaits: 86
TqSdk
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Quantopian lekcijas
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Binance API docs
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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
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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QTPyLib
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QuantRocket
Dokumentu skaits: 7
Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy uses crossovers of a short and long simple moving average to generate long and short entries. Its stated defaults are 9 and 21 periods. It sets a stop one percent from entry and a profit target at twice that distance, presenting a one-to-two…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy looks for price moves beyond recent swing highs or lows that close back inside those levels, treating them as liquidity sweeps. It uses an 11-period swing lookback, requires volume above its 11-period average multiplied by the configured…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriSekošana tendencei
Strategy library

This long-only strategy uses an Ichimoku conversion line and base line crossover for entries and exits, with the lagging span as an additional filter. A bullish crossover opens a long position only when the current close, plotted as the lagging span, is…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiRiska pārvaldība
Strategy library

This expert advisor combines Bollinger Bands with RSI to identify potential reversals after price moves beyond an outer band. A long setup requires RSI and closing price to recover from below their lower thresholds while remaining below their respective…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy combines Stochastic %K with ATR-derived bands. It calculates ATR, applies RSI to that series, and uses the resulting value to move upper and lower thresholds for Stochastic crossings. Crosses of those bands generate long and short entries, with…

Tehniskie indikatoriSvārstīgumsCenas impulssNākotnes līgumi
Strategy library

This trend-following method combines fast and slow simple moving averages with ADX and DMI. A fast average above the slow average, positive directional imbalance, and ADX above a threshold trigger a long entry; the reverse conditions trigger a close. The…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This perpetual futures strategy chooses long or short direction randomly, opens a position near the order book, and monitors it for fixed profit or loss thresholds. After a losing trade it increases the next order-size multiplier; after a winning trade it…

Perpetuālie nākotnes līgumiPozīcijas apjoma noteikšanaRiska pārvaldībaRīkojumu izpilde
Strategy library

This strategy identifies directional price sequences from highs and lows over consecutive bars. Three successive higher lows increase an upward counter, while three successive lower highs increase a downward counter; the opposite counter resets, and other…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy pairs the Stochastic %K value with RSI to identify extreme readings. It enters long when both indicators are below the oversold threshold and short when both are above the overbought threshold, with stop loss and take profit inputs. The…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasNākotnes līgumiRiska pārvaldība
Strategy library

This strategy builds Bollinger Bands from a moving average and a standard-deviation range. It detects a close outside either band, then looks for a close back inside and enters after that reentry. The article's prose says to trade in the breakout direction,…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasCenas izrāviensTehniskie indikatori
Strategy library

This Pine strategy builds a trend line from the highest and lowest source prices over a configurable lookback, then offsets its midpoint by an ATR-based buffer. A move across or beyond the buffered levels changes the trend state and can trigger a long or…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy uses crossovers among exponential moving averages to identify directional moves, with RSI as an additional entry filter. It calculates EMA periods of 9, 21, 51, 100, and 200 days; the described long entries follow selected upward crosses when…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This document describes an execution script that receives TradingView alerts and places or closes futures positions. Alerts use four text commands for opening or closing long and short positions. The configuration covers the trading pair, contract type,…

Nākotnes līgumiRīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This trend-following method uses a 20-period EMA crossover to time entries and a 50-period EMA as a directional filter. It enters long when price crosses above the short EMA while above the mid EMA, and short when price crosses below it while below the mid…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This charting tool organizes trend and pullback analysis across 15-minute and one-minute charts. It displays several exponential moving averages, a price-action channel, pivot or fractal markers, and optional swing-structure labels. The accompanying method…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This short-term strategy combines a 15-minute trend filter with 5-minute engulfing candles. It defines trend using recent highs and lows, then looks for bullish engulfing candles during an uptrend or bearish engulfing candles during a downtrend. Recent…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses crossovers between two smoothed MACD signal lines to open long or short positions. After an initial entry, it places additional limit orders at progressively farther retracement levels, increasing order size by a configurable multiplier.…

Nākotnes līgumiSekošana tendenceiCenas impulssPozīcijas apjoma noteikšana
Strategy library

This educational example shows why an algorithm may need historical data before acting on live or simulated updates. It subscribes to second-resolution SPY data, creates fast and slow exponential moving averages, and requests enough warmup history for the…

AkcijasTehniskie indikatoriSekošana tendencei
Strategy library

This strategy calculates Fibonacci retracement levels from the previous day’s high and low, then uses the current bar’s opening price to define three possible long-entry conditions. The conditions involve price zones around the 23.6%, 50%, and 61.8% levels,…

Nākotnes līgumiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy builds upper and lower channel boundaries from the highest high and lowest low over a rolling lookback, then expands the range by a percentage. A close beyond the prior bar’s upper boundary signals a long; a close below the lower boundary…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses rolling highest-high and lowest-low bands to identify breakouts. A close above the previous highest high opens a long position; a close below the previous lowest low opens a short position when shorting is enabled. Positions exit when…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy uses a 9-period and 50-period EMA crossover as its entry trigger, then checks direction with the Vortex Indicator and a 200-period simple moving average. An ADX threshold filters out weak momentum; an optional RSI condition can add another…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This system derives MACD from the difference between a fast eight-period EMA and a slow sixteen-period EMA, then smooths MACD with an eleven-period simple moving average to form a signal line. When MACD is above the signal line, the strategy takes a long…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses a short and a medium-term exponential moving average to generate directional signals: a cross of the faster average above the slower one opens a long, while a cross below it is intended to close the position. It also plots recent pivot…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori