MTF Data Core

Stop training your models on the future.

Every quant developer knows the nightmare: a beautiful backtest, then live trading falls apart. The number-one silent killer is lookahead bias — reading a higher-timeframe bar that has not closed yet, or labeling rows with information from the future. One wrong bar shift and your entire dataset is poisoned, and you will never see it in the backtest.

MTF Data Core is the multi-timeframe data engine behind kouaAlgo's data tools — now free for MQL5 developers. One include, one config struct, one call: clean, aligned market data with a hard no-lookahead guarantee.

Verified on live data: 75 columns per row — symbol, OHLCV, 7 indicators (MA20, RSI14, MACD, ATR14, Bollinger Bands, Stochastic, ADX) across 3 timeframes, 14 engineered features (log returns, wick ratios, volatility regime, sessions, news flags, spread...), plus post-hoc labels and a train/test split flag.

The guarantees that matter:

  • Closed bars only. Every market read references finished bars. Higher-timeframe values always come from the last completed HTF bar at-or-before the base bar time — never the forming bar.
  • Honest labels. Labels are computed post-hoc; rows near the right edge carry empty labels instead of invented values. No fake certainty, ever.
  • Fails loudly. If data is not ready, the call returns false — never a plausible-looking wrong row. Risk-first engineering, from kouaAlgo.

Built for:

  • EA and indicator developers who need multi-timeframe confirmation without writing bar-synchronization code
  • ML practitioners building datasets inside MetaTrader 5
  • Anyone who has been burned by lookahead bugs and never wants it again

Free. No DLL, no network calls, no trading. The same engine discipline behind our paid data tools — open to every developer


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Cette bibliothèque est proposée comme un moyen d'utiliser directement les API d'OpenAI sur MetaTrader de la manière la plus simple possible. Pour plus d'informations sur les capacités de la bibliothèque, lisez l'article suivant : https://www.mql5.com/en/blogs/post/756098 The files needed to use the library can be found here: Manual IMPORTANT : Pour utiliser l'EA, vous devez ajouter l'URL suivante pour permettre l'accès à l'API OpenAI : comme montré sur les images ci-jointes Pour utiliser la bibl
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## PulseBoard v2.25 — Multi-Timeframe Signal Board with SMC Order Blocks Funded challenges are not lost on strategy — they are lost on discipline. One impulsive entry against the higher timeframe, one trade without a predefined stop, one revenge trade after a red day: that is how a $200 challenge fee evaporates. PulseBoard is the dashboard we built to enforce the opposite behavior: no setup, no trade — and every setup arrives with its risk already defined. A 9-pillar consensus (EMA, MACD, ADX
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Your model is only as good as your data — and in machine learning, data preparation is 80% of the work. The unglamorous, error-prone 80%: aligning timeframes, engineering features, building labels without leaking the future, flagging news events, measuring true spread. Most quant projects die here, quietly, before the first model ever trains. Multi-TF Data Grabber PRO does that 80% for you in one click — and exports it as a clean, deterministic, ML-ready CSV. This is the professional pipeline b
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