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Quant Q&A
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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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
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
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Qlib
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Quantpedia
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TqSdk
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Hyperliquid docs
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Freqtrade
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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
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy looks for a short-term price drop while requiring a stronger recent upward move. In the described setup, price must fall more than 1% over two 30-minute candles and rise more than 3% over the preceding 24 candles, corresponding to one hour and…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

This document describes a simple crypto strategy that uses the MACD histogram to choose a trading direction. It outlines MACD’s fast and slow averages and signal line, then proposes going long when the histogram is positive and short when it is negative. The…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The strategy uses the Absolute Price Oscillator, calculated as the difference between a short and a long exponential moving average, to set directional positions. With the stated default thresholds, it moves long when APO rises above 3 and short when it…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy combines RSI-based oversold entries with ATR-based position sizing and profit targets. On a four-hour or daily chart, it opens up to four staged long entries when RSI falls below 30. Each entry is sized using a stated $200 total risk amount and…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgums
Strategy library

This script combines higher-timeframe signal detection with configurable execution rules. It can trade failure patterns and inside bars, then either enter when price breaks the signal bar or wait for a matching lower-timeframe signal bar and its break. Bias…

Nākotnes līgumiRīkojumu izpildePozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This document describes a long-only breakout strategy using asymmetric Bollinger bands: the upper boundary is set farther above a 100-period simple moving average than the lower boundary is below it. A close crossing above the upper band opens a long…

Cenas izrāviensTehniskie indikatoriCenas impulssNākotnes līgumi
Strategy library

This grid strategy divides a chosen price range into evenly spaced levels and assigns a fixed base-currency order size to each level. It activates once price closes inside the range. A level can open a long position when price moves down through it, provided…

Režģa tirdzniecībaKriptoaktīviNākotnes līgumiPozīcijas apjoma noteikšana
Strategy library

This document describes a two-sided trading system built from four smoothed averages: an SMMA of HLC3, SMMAs of highs and lows, and a ZLEMA derived from the first SMMA. Long and short entries arise from several alternative crossover conditions among these…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

This strategy builds price bands around a moving average using ATR distances scaled by several Fibonacci ratios. A fast EMA and slow SMA define the broader direction. In an upward regime, the rules seek long entries when price crosses below one of the lower…

Režģa tirdzniecībaSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy builds several price bands around a moving-average center using ATR multiplied by Fibonacci-style factors. A faster EMA and slower SMA determine the directional regime. In an uptrend, price crossing below one of the lower bands can trigger a…

Nākotnes līgumiRežģa tirdzniecībaSekošana tendenceiTehniskie indikatori
Strategy library

This document outlines a two-sided trend-following strategy using MACD line and signal-line crossovers. Long entries require an upward crossover while MACD is above zero and below its recorded peak for the positive phase; short entries require a downward…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This document describes a long-only intraday strategy that combines moving-average alignment with rising price patterns to seek upward momentum. It enters when the SMA is above the EMA and one of several three- or four-bar conditions is met. One entry…

Cenas impulssSekošana tendenceiTehniskie indikatoriNākotnes līgumi
Strategy library

This strategy uses a selected asset’s price relative to a simple moving average calculated at a chosen resolution. A cross above the average triggers a long position, while a cross below triggers a short position. The user can select long-short, long-only,…

Vairāku aktīvu tirdzniecībaSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines several technical signals to seek early entries in rising or falling trends. The described inputs include smoothed rate of change, a Donchian channel, a shifted simple moving average, a bears-power measure, and smoothed balance of…

Nākotnes līgumiKriptoaktīviCenas impulssSekošana tendencei
Strategy library

This strategy combines a short-term reversal signal with floor-trader pivot levels. The reversal component uses a Stochastic oscillator alongside consecutive closing-price movements: it generates a directional signal when the oscillator and price pattern…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This Bitcoin futures strategy uses 30-period and 60-period exponential moving averages to define an upward trend. It enters long when price crosses above the shorter EMA, provided the shorter EMA is above the longer EMA and the preceding close was between…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

The strategy combines a long-term exponential moving average filter with short-term Stochastic thresholds. It opens a long position when price is below the 200-period EMA and %K rises through 20, and opens a short when price is above the EMA and %K falls…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy seeks long entries after a confirmed pivot high. It stores the latest pivot level, arms an entry condition when a pivot is detected within a user-selected date range, then submits a stop entry just above that level when the close is above a…

Tehniskie indikatoriCenas izrāviensSekošana tendenceiVēsturisko datu pārbaude
Strategy library

The visible portion of this Pine Script strategy builds short- and medium-cycle price channels from smoothed prices and ATR offsets. It plots channel boundaries, a midpoint, an oscillator normalized to the medium channel, and optional bar colors based on…

Tehniskie indikatoriSvārstīgumsSekošana tendencei
Strategy library

This strategy pairs bullish and bearish engulfing candles with rolling price extremes presented as supply and demand zones. It enters long after a bullish engulfing pattern when price is above the recent low zone, and short after a bearish engulfing pattern…

KriptoaktīviTehniskie indikatoriCenas izrāviensRiska pārvaldība
Strategy library

This strategy combines a two-bar price reversal pattern with a Bear Power signal. The reversal component looks for a close that turns upward after a decline or downward after a rise, with the Stochastic oscillator providing an additional threshold and…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy compares a fast volume-weighted moving average with a slow simple moving average. The stated periods are 3 and 266. A cross above the slower line creates a long signal, and a cross below creates a short signal; the example enters three candles…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy defines Morning Star and Evening Star patterns from three consecutive candles and uses them as reversal entries. It checks candle direction and relative body size: a strong first candle, a small-bodied middle candle, and a strong…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This short-term strategy uses two exponential moving averages to generate directional entries. A faster EMA crossing above a slower EMA signals a long position, while a downward cross signals a short. The stated default periods are 9 and 21, and the example…

Nākotnes līgumiKriptoaktīviCenas impulssSekošana tendencei