Pair Trading Qant Maney

What it does:

Scans a fixed list of assets (24-hour US stock pairs from the Pepperstone brokerage) on the chosen timeframe.

For each pair and for various periods (Period1…Period100 ABOVE) it:

Calculates a regression model between the two assets (and, if desired, using the US500 index as a normalizer).

Generates the residual (spread) of this relationship, its mean, standard deviation, correlation, and betas (B1 and B2).

Applies an ADF test to the residual (cointegration/stationarity).

Calculates the Z-score of the current residual (how many standard deviations it is away from the mean).

Only pairs that meet the filters are included in the table.

Attach the indicator to the chart, adjust inputs (periods, Z-score limit, ADF, normalizer usage, etc.). Click on “START SCANNER”: it performs all tests and populates the table with the pairs that gave a signal. Click on a line in the table: The indicator shows the pair details (Z-Score, ADF, betas, correlation, average, lot ratio). It draws the residual chart (candle or line mode) with average and 2σ and 3σ bands, allowing you to adjust the period and window shift. It calculates an A/B lot ratio (with a vol-neutral option, adjusting for asset deviations). Typical operational rules (suggested by the indicator): When the Z-Score is high positive (above the limit): the pair is “stretched”; the idea is to sell the expensive asset and buy the cheap one, in the proportion indicated in the panel. When the Z-score is very negative: the pair is "cheap"; you reverse the positions (buy the one below the average and sell the one above). You can save the selected pair in the SAVED panel to create a watchlist of recurring opportunities.


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*****La negoziazione principale è XAUUSD. In caso di test, si consiglia di adeguarsi a XAUUSD. Altri obiettivi di trading non possono garantire la redditività******* Se avete bisogno di testare, lasciate un messaggio (vi risponderò non appena lo vedo). Per proteggere i risultati del lavoro, è necessario inserire parametri specifici. I parametri predefiniti del sistema non possono raggiungere l'effetto mostrato nel pullback dello screenshot! Se avete bisogno di testare, lasciate un messaggio (
Questo prodotto è in sviluppo da 3 anni. È il codice più avanzato per lavorare con tutti i tipi di intelligenza artificiale e apprendimento automatico nel linguaggio di programmazione MQL5. È stato utilizzato per creare molti robot di trading e indicatori basati sull'IA in MetaTrader 5. Questa è una versione premium del progetto open source e gratuito per il machine learning in MQL5, disponibile qui:  https://github.com/MegaJoctan/MALE5 . La versione gratuita ha meno funzionalità, è meno documen
Shawrie
Kevin Kipkoech
This Pine Script implements a Gaussian Channel + Stochastic RSI Strategy for TradingView . It calculates a Gaussian Weighted Moving Average (GWMA) and its standard deviation to form an upper and lower channel. A Stochastic RSI is also computed to determine momentum. A long position is entered when the price closes above the upper Gaussian band and the Stoch RSI K-line crosses above D-line . The position is exited when the price falls back below the upper band. The script includes commission, cap
Bookeepr
Marvellous Peace Kiragu
Bookeepr is an advanced MQL5 trading bookkeeping software that automates trade logging, tracks real-time P&L, and integrates a ledger-style financial system for deposits, withdrawals, and expenses. It supports multi-currency assets , generates detailed performance reports , and provides risk management tools to help traders optimize their strategies. With secure cloud storage, exportable reports, and seamless MetaTrader 5 integration , Bookeepr ensures accurate, transparent, and hassle-free fina
Altri dall’autore
Scan a fixed list of assets (Ibovespa) in the chosen timeframe (TimeFrame). For each pair and for various periods. Calculate a regression model between the two assets (and, if desired, using the bova11 index as a normalizer). Generate the spread of this relationship, its mean, standard deviation, speculative deviation, and betas (B1 and B2). Apply an ADF test without exclusion (cointegration/stationarity). Calculate the Z-score of the current exclusion (how many standard deviations are away from
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