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Quant Q&A
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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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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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TqSdk
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Quantpedia
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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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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
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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 combines three indicators to filter entries: price relative to EMA200 defines the broad market direction, a 55-period Hull moving average supplies a faster directional check, and MACD crossovers trigger trades. Long entries require price above…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a basic trend-following system that uses Supertrend, an ATR-based band derived from the midpoint of the high and low. Its Factor parameter sets the band width, while Pd sets the ATR lookback. The strategy enters long or short when…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy uses five EMAs, with periods of 12, 144, 169, 576, and 676, to define aligned bullish or bearish trends. It looks for price interaction with EMA144 and a close on the appropriate side of EMA169 to trigger entries. Additional positions can be…

Sekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This document describes a configurable strategy generator that can combine EMA, RSI, Stochastic, MACD, and ADX conditions. Users can enable or disable indicators and adjust their parameters; the described logic requires the selected conditions to align…

Nākotnes līgumiTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This strategy combines an EMA-based direction signal with an Awesome Oscillator-derived signal to trade in the direction of their agreement. The description specifies a fast EMA crossing a slower EMA to indicate trend direction, while a change in oscillator…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines Bull Bear Power, calculated from price extremes relative to an exponential moving average, with adaptive statistical thresholds. It estimates the BBP series’ mean, standard deviation, skewness, and excess kurtosis. A normal quantile…

KriptoaktīviStatistikaAtgriešanās pie vidējās vērtībasSvārstīgums
Strategy library

This strategy uses MACD to seek long entries when momentum is weak, aiming to benefit from a rebound. Its description says to enter when MACD is below its signal line and below a negative threshold, then exit after the lines cross upward. The supplied…

Valūtu tirgusAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This Hummingbot strategy framework manages multiple controllers and their executors, with controls for controller-level and global drawdown. It tracks each controller’s peak reported profit and stops that controller when its decline exceeds a configured…

Riska pārvaldībaRīkojumu izpildeNākotnes līgumi
Strategy library

This Python position-management utility wraps exchange operations for futures trading. It initializes a symbol and contract, rounds prices to the configured tick size, reads order-book depth, and selects quote prices using rules based on the bid-ask spread.…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
Strategy library

This long-biased trend strategy combines directional movement with a Keltner Channel. It looks for +DI to exceed a threshold, then buys when price moves from within the channel to above its upper band; an optional ribbon filter checks whether the EMA is…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This document describes a price-based trailing stop that updates from recent candle highs, lows, and closes. It defines separate offset distances for long and short positions. When price crosses the prior stop, the rule can reset the stop around the close;…

Nākotnes līgumiTehniskie indikatoriRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines volatility-adjusted MACD, Fibonacci retracement levels, and signals from multiple timeframes to frame entries around trends and pullbacks. MACD-V is calculated on a shorter timeframe, while recent highs and lows on a higher timeframe…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
Strategy library

This strategy uses ATR-based bands to track market direction and signal changes between bullish and bearish trends. It calculates a volatility-adjusted upper and lower band, updates them using prior prices, and switches direction when the close crosses the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This code example demonstrates how to maintain a rolling history of hourly SPY closing prices and calculate several moving averages with a technical-analysis library. During warm-up, it collects enough observations to fill a window sized from the selected…

AkcijasTehniskie indikatori
Strategy library

This breakout approach compares price series sampled at different timeframes, described in the overview as four-hour and daily, and adds candlestick-pattern checks. The stated idea is to align shorter- and longer-horizon direction, then use candle patterns…

Cenas izrāviensTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This document outlines a rules-based system combining moving-average crossovers, MACD confirmation, a recent-high resistance level, and RSI-based position management. A bullish entry requires the 10-period SMA to cross above the 30-period SMA while MACD is…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This daily futures strategy calculates positive and negative Vortex Indicator values from rolling sums of directional movement and true range. It enters long when the positive value crosses above the negative value and exceeds a threshold; it enters short on…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following method tracks price relative to levels derived from prior bars on two timeframes. In the example, the longer timeframe is weekly and the shorter one is daily. A long signal requires price to be above both levels, while a short signal…

Nākotnes līgumiCenas izrāviensSekošana tendenceiTehniskie indikatori
Strategy library

This TradingView strategy describes a session based approach for gold. It tracks the highs and lows of the Asia, London, and New York sessions in UTC, then uses the low from New York’s final hour as a reference level for the following day. A break below that…

IzejvielasCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This document explains a trend-following strategy that compares short- and long-period simple moving averages. A bullish signal occurs when the shorter average crosses above the longer one; a bearish signal occurs when it crosses below. The supplied…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This document describes a helper for opening and closing futures positions. It sets trade direction, adjusts the quoted last price by a configurable slippage amount, submits an order, and polls its status. If an order remains pending past the timeout, the…

Nākotnes līgumiRīkojumu izpildeRiska pārvaldība
Strategy library

This trend-following system compares fast and slow exponential moving averages and measures their difference against a volatility threshold based on ATR. ADX selects between two ATR multipliers: the described defaults use a larger multiplier when ADX…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

The document presents a silver strategy that stays long by default and uses several exit and re-entry safeguards. Its stated controls include a slow silver EMA trend exit, optional exits based on the US dollar index and US 10-year yield, and a flush exit…

IzejvielasSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy seeks directional trades when ATR rises above a moving baseline, with momentum determined by comparing the current close to its value 20 periods earlier. It enters long or short when the volatility and directional conditions align, subject to a…

Nākotnes līgumiCenas izrāviensSvārstīgumsCenas impulss