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Zināšanu bibliotēka

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
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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
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
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This document outlines a strategy combining Ichimoku components with short- and long-period simple moving averages. Its explanation describes using the relationship between the conversion and base lines, moving-average direction, price movement, and a…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This document describes a channel breakout method built from a simple moving average and an average true range measure. It defines upper and lower bands by adding or subtracting a scaled average range from the moving average. A move above the upper band…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

This breakout strategy calculates the highest high and lowest low over a configurable lookback period. It places a long stop entry just above the upper extreme and a short stop entry just below the lower extreme, with options to enable either or both…

Cenas izrāviensSekošana tendenceiNākotnes līgumiPozīcijas apjoma noteikšana
Strategy library

This strategy combines a faster MACD with a slower MACD, optionally calculated on a separate interval, and uses StochRSI as an additional timing filter. The stated long setup aligns positive readings from both MACD calculations with an upward trend condition…

Cenas impulssTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This hybrid strategy uses MACD crossovers to initiate long or short positions, then uses changes in the MACD histogram as signals for re-entry, additions during pullbacks, and exits. A moving average also appears in the implementation as a price reference,…

Cenas impulssTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines an ATR trailing stop with an adaptive Kaufman moving average (KAMA) filter to identify directional trends. The stop line scales with volatility and signals a bullish or bearish state based on price relative to the line. KAMA estimates…

Sekošana tendenceiTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy uses a configurable moving average to represent price direction and issues trading signals when that direction changes. Users can select among several average types, set a lookback length and price input, and adjust a reaction parameter that…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This strategy combines a fast and slow simple moving average crossover with a slope threshold and candlestick-pattern filters. The stated parameters use 9-period and 15-period averages, with a 30-degree angle condition. A bullish crossover can trigger a long…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

This document presents part of an automated trading strategy built around price sweeps of recent swing levels. A low below the prior lookback lows records a potential long sweep; a high above recent highs records a potential short sweep. It also tracks…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

The document describes an automated approach to trading Polymarket prediction contracts. It scans popular markets by recent volume, asks an AI model to create search queries, gathers current web and news results, and then uses the model’s assessment to…

Uz notikumiem balstīta tirdzniecībaMašīnmācīšanāsRīkojumu izpildePozīcijas apjoma noteikšana
Strategy library

This strategy enters long when a candle closes above the previous candle’s high and short when it closes below the previous candle’s low. The example implementation compares the current close with the prior high and low from a selected timeframe, set to…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

The described method combines a simple close-to-close direction check with a prior-day bullish candle and an upward gap condition for long entries. It places a stop below the previous close by a multiple of that candle’s body, then sets a profit target at…

Nākotnes līgumiKriptoaktīviSekošana tendenceiRiska pārvaldība
Strategy library

This long-focused Turtle style system uses prior rolling highs to trigger entries and rolling lows to exit. It distinguishes a shorter breakout entry from a longer breakout entry, and adds to an open position as price advances by ATR based increments, up to…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This strategy combines Bollinger Bands, Keltner Channels, and a linear regression momentum value to identify volatility compression and expansion alongside directional momentum. Its described signal logic looks for a transition into channel expansion and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This example shows how to build a daily equities universe from coarse fundamental data by ranking available securities on dollar volume and selecting the top five. A security initializer sets each selected security to raw price normalization and applies a…

AkcijasASV tirgiRīkojumu izpildePortfeļa veidošana
Strategy library

The document presents a three-candle bullish reversal pattern: a bearish candle is followed by a smaller bullish candle contained within the prior candle’s range, then an upward candle that closes above the preceding close. It includes a Pine Script strategy…

AkcijasTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

The available script excerpt introduces a relative-value rotation strategy based on two configurable price series. It provides a lookback setting for calculating a z-score and an optional moving average to smooth that signal. The stated inputs suggest the…

StatistikaAtgriešanās pie vidējās vērtībasAkcijasKriptoaktīvi
Strategy library

This strategy combines a moving average trend filter with Keltner Channel breakouts. It enters long when price crosses above an upper channel boundary while the configured short moving average is above the long moving average; it enters short on a lower…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This strategy places conditional long entries using a prior-session price range and the current session’s opening context. Its description says to compare the current open with the previous close, then set a buy stop above the open by a multiple of the prior…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines a rolling price midpoint with a smoothed moving average to generate directional entries. The midpoint is calculated from the period high and low, then adjusted by a percentage and shifted by a configurable number of bars. A crossover…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This intraday strategy takes a position opposite the direction of the first candle of each session: it goes long after a bearish first candle and short after a bullish one. The stated rationale is that opening activity may reverse, but the document presents…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This intraday strategy uses a fast and a slow exponential moving average, with lengths defaulting to 9 and 21. A bullish crossover can open a long position only when the same bar closes above its open; a bearish crossover can open a short position only when…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This TradingView indicator calculates MACD from configurable fast and slow averages, then compares it with a smoothed signal line. Users can choose the indicator timeframe, source price, EMA or SMA calculations, and display options for the lines, histogram,…

Tehniskie indikatoriCenas impulssVēsturisko datu pārbaude
Strategy library

This strategy looks for long entries during an established uptrend. It uses a long-term simple moving average to define trend context and a short-term average to identify pullbacks: when the close is above the long average but below the short one, it enters…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori