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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 gold strategy combines pivot levels, volume strength, trend filters, and volatility-based settings. The visible source uses recent pivot highs and lows, 50- and 200-period moving averages, ADX, and average volume; it also requests daily data and…

IzejvielasTehniskie indikatoriCenas izrāviensSvārstīgums
Strategy library

This example shows how to display candlesticks alongside the three MACD series: DIF, DEA, and MACD. It configures separate chart axes for price and indicator values, retrieves market records repeatedly, computes MACD, and adds new points to each series. A…

Tehniskie indikatoriKriptoaktīvi
Strategy library

This strategy identifies the highest high and lowest low over a chosen lookback window, then calculates Fibonacci retracement levels between them. Traders can choose whether levels run from the high downward or the low upward, and select separate levels for…

Nākotnes līgumiKriptoaktīviCenas izrāviensTehniskie indikatori
Strategy library

This long-only method seeks pullbacks within a broader uptrend. It uses the 50- and 200-period EMAs alongside a 200-period RSI and an EMA-difference signal: the long-term filter must show strength, while the latest two closes must be declining before entry.…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This 15-minute strategy combines RSI with MACD crossover signals. It opens a long when RSI is below 30 and the MACD line crosses above its signal line; it opens a short when RSI is above 70 and the MACD line crosses below its signal line. The described…

KriptoaktīviNākotnes līgumiTehniskie indikatoriCenas impulss
Strategy library

This framework combines three components: a cash reserve floor, recurring purchases of a core asset, and a smaller alpha sleeve that trades selected crypto perpetual contracts. The reserve rule skips purchases when spending would breach the configured…

KriptoaktīviPerpetuālie nākotnes līgumiSekošana tendenceiVēsturisko datu pārbaude
Strategy library

The strategy calculates the Market Facilitation Index as the bar’s high-low range divided by volume and scaled by 10,000. It uses two thresholds to assign directional states: values above the buy zone indicate long exposure, while values below the sell zone…

Tehniskie indikatoriStatistikaNākotnes līgumiKriptoaktīvi
Strategy library

This strategy identifies candidate buy and sell order blocks from recent highs and lows around opposing candle patterns. It enters long when price rises above a buy level and short when it falls below a sell level, then allocates exits across three profit…

KriptoaktīviNākotnes līgumiCenas izrāviensPozīcijas apjoma noteikšana
Strategy library

This strategy pairs Bollinger Band price crossings with an ATR-based trailing stop. Using the stated defaults of a twenty-period band, a two-standard-deviation width, and a fourteen-period ATR multiplied by three, it enters long when price crosses upward…

KriptoaktīviNākotnes līgumiSvārstīgumsTehniskie indikatori
Strategy library

This trend-following system uses a short-period and a long-period simple moving average to generate directional signals. With the stated defaults of nine and twenty-one periods, a crossover of the short average above the long average triggers a long entry; a…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a long-side inside-bar breakout setup. It identifies a bullish candle whose high and low remain within the previous candle's range, then defines a potential buy level just above the inside bar's high and a stop just below the prior…

Nākotnes līgumiCenas izrāviensPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This strategy compares a fast RSI with a slow RSI to generate directional signals. Its stated defaults are a two-period fast RSI and a fourteen-period slow RSI. A long signal occurs when the slow RSI is above 50 while the fast RSI is below 50; a short signal…

KriptoaktīviNākotnes līgumiTehniskie indikatoriSekošana tendencei
Strategy library

The script is presented as a configurable Black-Scholes option-pricing and delta-hedging strategy. Its visible inputs let users choose European vanilla, binary, or geometric Asian option styles; calls or puts; strike and expiration; and market data settings.…

OpcijasAtvasināto instrumentu cenu noteikšanaSvārstīgumsRiska pārvaldība
Strategy library

This strategy combines multi-timeframe exponential moving averages to define market direction, MACD crossovers to trigger entries, and ATR-based levels to manage exits. It describes an uptrend when price is above the one-hour EMA and that EMA is below the…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following method calculates short-, medium-, and long-period simple moving averages. Crosses between the short and medium averages generate the main buy and sell signals, while crosses between the short and long averages are presented as faster…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines an optimized trend tracker based on the Twin Optimized Trend Tracker (TOTT) with a close-series filter, multiple EMA relationships, and an Alpha index confirmation. The main trackers set the broad direction; EMA cross relationships add…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This ETH/USDT strategy uses SuperTrend to define direction and layers MACD, ADX, candle direction, and volume conditions onto entries. Long signals require a bullish SuperTrend reading, a positive MACD histogram, ADX above its threshold, an up candle,…

KriptoaktīviSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy combines Bollinger %B, which locates price within its bands, with the Chande Momentum Oscillator (CMO). It opens a long when %B crosses above 0.2 while CMO crosses above zero, and a short when %B crosses below 0.8 while CMO crosses below zero.…

KriptoaktīviSekošana tendenceiCenas impulssSvārstīgums
Strategy library

This ETH strategy uses daily ETH implied volatility as a regime filter. When volatility is at or below a configurable support level, it places stop orders above the previous three-bar high and below the previous three-bar low, aiming to enter when price…

KriptoaktīviSvārstīgumsCenas izrāviensTehniskie indikatori
Strategy library

This proposed system combines a fast and slow exponential moving average crossover with a Relative Volatility Index (RVI) sign check. Long signals require the shorter EMA to cross above the longer EMA while RVI is positive; short signals require the reverse…

Nākotnes līgumiTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy combines ATR-based Supertrend direction with bullish or bearish engulfing candle conditions. It filters candle patterns using thresholds for the previous candle’s body and the current candle’s body relative to its range, then considers a trade…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines Heikin Ashi prices with Kaufman’s Adaptive Moving Average (KAMA) to create trend-following signals. The described approach compares a shifted, higher-timeframe HLC3 series with a smoothed KAMA series: a crossover signals a long entry,…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This script labels conditions as range-bound when ADX is below 25, RSI is between 35 and 65, and Bollinger Band width is below 8%. When all three conditions hold and there is no open position, it enters a long position. It closes that position after 21 bars…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy combines MACD direction across five timeframes, from hourly intervals through daily data. It enters long or short when all five readings align in the same direction after not having been fully aligned on the prior bar. The described exit tools…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība