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MFP369 FINAL
09/01/2026
Desktop, Mobile, Web
Seit 25/03/2025
Gehandeltes Volumen
112.87M
Pip-Gewinn
732.91K
Verkäufe
8
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HA Structure Trader Pro — not a simple Heikin Ashi bot

If you’re expecting “HA turns green = buy” … this isn’t that.

I built this as a multi-timeframe structure system that:

  • builds real support/resistance zones,
  • waits for direction bias,
  • then enters only at meaningful touches (optionally with confirmation).

It’s designed to trade like a disciplined human: map → filter → execute → protect.


What it does (fast)

  • Detects structure pivots using Heikin Ashi color flip events
  • Converts those events into support/resistance zones (not just lines)
  • Merges overlapping zones into stronger zones over time
  • Trades zone touches only when higher-timeframe bias agrees
  • Has built-in risk sizing + breakeven + partial profit + trade limits


Why this stands out vs most store robots

Most robots are:

  • indicator condition → entry → SL/TP
  • lots of trades
  • “signals” that shift mid-bar
  • messy behavior when markets chop

This robot is:

structure-based (zones)
multi-timeframe (trade zones + bias + confirmation)
stateful (arming/confirmation workflow)
stable decisions (frozen zones)
risk-controlled by design (not bolted on)

This isn’t a quick “code it in 10 minutes” logic. It’s a coordinated system.


The 3 engines (simple explanation)

1) Trade Zone Engine (Pivot TF)

This engine builds the zones the robot trades.

  • HA flip = structure event
  • uses the surrounding candles to form a zone
  • zones can merge if they overlap (stronger structure)
  • old zones get cleaned up automatically

Result: a living map of structure, not random triggers.


2) Bias Engine (Extra TF)

This decides if the robot is allowed to trade BUY or SELL.

It uses two “brains”:

A) Structure breach bias
Price closing beyond a key zone is treated as meaningful direction.

B) Micro-bias pattern (state machine)
This is a real setup sequence:

  1. big anchor candle (range expansion + real body)
  2. N inside bars inside the anchor
  3. close breaks out of the anchor

That’s not one condition—it’s a process.

Final bias picks the most recent meaningful change.
So it doesn’t get stuck on old information.


3) Confirmation Pivot Engine (optional, stricter mode)

In strict mode, it doesn’t just touch-and-enter.

It does:

  • touch zone → arm
  • wait for a new pivot to form on a smaller TF → confirm
  • then enter

This helps avoid “touched the level but momentum wasn’t finished.”


The “Frozen Zone” feature (big deal)

A common bot problem: the target level moves while price approaches.

So I freeze the chosen zone target on Pivot TF closed-bar updates.

That means:

  • no zone-hopping mid-approach
  • entries stay consistent
  • the robot behaves predictably (and easier to trust)


Entry modes (pick your style)

Mode 1: DirectTouch

Bias agrees + price touches the frozen zone → enter.

Mode 2: TouchThenNewPivot (more selective)

Touch happens → bot arms → waits for confirmation pivot → then enters.


Built-in risk + guardrails (so it survives bad streaks)

  • Risk % position sizing (auto volume calculation)
  • Fixed SL with TP/SL ratio
  • Daily max trades
  • One-trade-per-zone option
  • Breakeven trigger (optional)
  • Partial profit trigger (optional)

Also: partial profit is restart-aware (it won’t accidentally partial twice after a restart).


Who this is for

  • People who like structure / zones
  • People who want fewer, cleaner trades
  • People who want rules that make sense and don’t repaint

Who this is NOT for

  • martingale/grid recovery styles
  • “trade every hour no matter what” bots
  • people who want guaranteed profits (nobody can promise that)

NOTE : THERE ARE INFINITE WAYS TO PLAY WITH THIS ROBOT. USE THE OPTIMIZATION FROM CTRADER AND OPTIMIZE ACCORDING TO YOUR STYLE. I HAVE PASTED MY IDEAL PRESET. PLEASE NOTE THERE IS THE TICK AND THERE IS THE BAR GAIN. DONT BE FOOLED BY OTHER ROBOTS THEY MIGHT USE BARS INSTEAD OF TICKS. IM SHOWING THE ACTUAL TICK GAIN . IM HONEST.

Risk warning

Trading leveraged products is risky. Spreads, slippage, swaps, gaps, and execution conditions can make live results differ from backtests. Use demo first and keep risk conservative. Past performance does not guarantee future results.

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