AlgorithmicTrading – Page 2 – Adaptive Hybrid System

Institutional Impulse + Muzzle Mode

5. Institutional Impulse + Muzzle Mode

One of the defining mechanisms of the system. It detects institutional impulses (sudden, violent moves generated by large capital) and immediately changes the system’s behaviour.

Impulse Detection

On every new bar on Inp_Impulse_TF (default M1):

Calculates average range and average volume over the last Inp_Impulse_AvgPeriod (20) candles
Fetches ATR
Calculates velocity = |current_close - prev_close| / prev_close
Impulse detected if candle range > Inp_Impulse_Min_Range_Points (50 pts) AND at least ONE of the following is true:

velocity > Inp_Impulse_Velocity (0.5% price change)
current_range > RangeMult × avg_range (2× average)
current_range > ATRMult × ATR (2× ATR)
current_volume > VolMult × avg_volume (1.5× average volume)

Log: "Institutional Impulse Detected! Activating MUZZLE MODE for 15 mins."

Muzzle Mode — How the System’s Characteristics Change

After an impulse is detected, the system enters Muzzle Mode:

Parameter	Normal Mode	During Impulse (Muzzle Mode)
Min. Smart DI candle body	2 pts	150 pts
CCI block level	Inp_Block_CCI_Level (350)	Inp_Muzzle_CCI_Block_Level (130)
SELL signals	Allowed	Blocked if Channel_Down = 0
Price channel	Standard Dynamic Channel	Muzzle Box (anchored at impulse price)

Key point: When Inp_Muzzle_Channel_Points_Down = 0, the system operates exclusively as BUY ONLY during an impulse — selling is completely blocked. This allows the system to ride the momentum after a breakout move.

Dynamic Muzzle Channel

At the moment an impulse is detected, the system saves the current BID price (g_Muzzle_BasePrice). All subsequent signals must fall within:

Upper: base_price + Muzzle_Channel_Points_Up
Lower: base_price - Muzzle_Channel_Points_Down (or -DBL_MAX when Down = 0)

Muzzle Mode Deactivation

Muzzle Mode expires only when ALL of the following conditions are met:

Cooldown elapsed: (current_time - impulse_time) > Impulse_Cooldown_Mins × 60
Market has calmed: current_range ≤ 1.5 × avg_range AND current_volume ≤ 1.5 × avg_vol
A local peak or trough has formed: the previous candle has a higher high (peak) or lower low (trough) than its neighbours

Log: "Market calmed down. MUZZLE MODE deactivated."

Makro Matrix Risk — dynamiczna punktacja instytucjonalna

4. Makro Matrix Risk — dynamiczna punktacja instytucjonalna

This is the most unique feature of the system. Before every order, AHS consults 19 global assets, analysing each through 5 indicators — a total of 95 indicator handles running in parallel.

Skład Makro Matrix Risk

Tech Titans (≈60% of the pool):

Asset	Base Weight
Apple (AAPL)	8%
Microsoft (MSFT)	8%
Nvidia (NVDA)	8%
Amazon (AMZN)	5%
Meta (META)	5%
Alphabet (GOOGL)	5%
Tesla (TSLA)	4%
Broadcom (AVGO)	4%
Costco (COST)	3%
Netflix (NFLX)	2%
PepsiCo (PEP)	2%
Cisco (CSCO)	2%
T-Mobile (TMUS)	2%
Adobe (ADBE)	1%
AMD	1%

Global Macro (≈40% of the pool):

Asset	Base Weight	Special Role
Bitcoin (BTC)	10%	Risk-On barometer
Gold (GOLD)	10%	Inverse correlation — Risk-Off
EURUSD	10%	Dollar strength proxy (DXY)
AUDJPY	10%	Carry trade / risk appetite

Dynamic Weighting — What Sets This System Apart

Base weights are a starting point, not fixed values. For each asset, a multiplier is computed based on current indicators:

Indicators per asset (H1 timeframe):
  → MA50, MA200   (long-term trend)
  → RSI(14)       (momentum / overbought-oversold)
  → CCI(14)       (deviation from mean)
  → MFI(14)       (money flow)

Multiplier logic for BUY scoring:
  → Bullish trend (MA50 > MA200):          +0.5
  → Oversold (RSI<30 or CCI<-100):        +0.5
  → Overbought (RSI>70 or CCI>100):       -0.5
  → Money flowing in (MFI>50):            +0.2

Multiplier logic for SELL scoring:
  → Bearish trend (MA50 < MA200):          +0.5
  → Overbought (RSI>70 or CCI>100):       +0.5
  → Oversold (RSI<30 or CCI<-100):        -0.5
  → Money flowing out (MFI<50):           +0.2

Minimum multiplier = 0.1 (prevents negative weights).

Scoring Mechanism

effective_weight = base_weight × multiplier
max_pool        += effective_weight           // maximum possible score

// Does this asset confirm the direction?
if BUY:  price > MA50 → align_score += effective_weight
if SELL: price < MA50 → align_score += effective_weight

// GOLD is inverse (is_inverse=true):
// Bullish GOLD = Risk-Off = confirms SELL, not BUY

final_alignment = (align_score / max_pool) × 100%

Block condition: If final_alignment < Inp_Macro_Min_Alignment_Percent (default 70%) → order blocked.

Lazy Evaluation

The Macro Matrix is not computed on every tick. It is triggered exclusively when a strategy generates a signal. This dramatically reduces CPU usage. Log: "BUY Align: 82% (Pool: 145)" / "Block BUY: Macro Score".

When No Market Is Active

When all assets are inactive (no data, markets closed) → max_pool = 0 → filter bypassed, trading allowed. The system never blocks itself when global data is unavailable.

Strategies — Detailed Algorithm Descriptions

3. Strategies — Detailed Algorithm Descriptions

3.1 Smart DI (Directional Index)

Concept: Measures the dominance of one market direction using the ADX indicator, analysing the difference between the DI+ and DI- lines.

Algorithm — step by step:

Fetches DI+ and DI- values from ADX (buffer 1 — the previous closed bar, to avoid repainting)
Calculates diff = |DI+ - DI-|
Fetches data for the last closed candle on Inp_Strat_TF
Calculates candle body size: body = |close - open| / _Point
If Impulse/Muzzle Mode is active: the minimum candle body requirement rises from Inp_Strat_Min_Candle_Body to Inp_Muzzle_Min_Candle_Body (default 150 pts instead of 2 pts) — the strategy’s characteristics change during an impulse
BUY signal: DI+ > DI- AND diff > Min_DI_Diff AND DI- < Max_Opposite_DI
SELL signal: DI- > DI+ AND diff > Min_DI_Diff AND DI+ < Max_Opposite_DI

Log: "Smart DI BUY" / "Smart DI SELL"

Key property: The Inp_Strat_Max_Opposite_DI parameter limits opposition strength — even when DI+ dominates, an overly strong DI- blocks the signal. It acts as a built-in trend quality filter.

3.2 MTF Point System (Multi-TimeFrame)

Concept: Scores trend alignment across 4 independent timeframes using EMA5/EMA7 crossovers. Each timeframe earns one point; a minimum score threshold is required.

Algorithm — step by step:

On each of the 4 timeframes (TF1, TF2, TF3, TF4), fetches EMA5 and EMA7
BUY point: EMA5 > EMA7 on that TF → score++
SELL point: EMA5 < EMA7 on that TF → score++
If score >= Inp_MTF_Min_Score (default 3 out of 4) → signal is active

Check condition: On every new bar of Inp_MTF_TF1 (the fastest TF)

Log: "MTF BUY" / "MTF SELL"

Philosophy: The system does not require perfect alignment — even 3 out of 4 timeframes is sufficient. This provides flexibility in fluid markets where all timeframes rarely agree simultaneously.

3.3 Three Consecutive Candles

Concept: Detects a mini-trend: 3 consecutive closed candles in the same direction with a minimum body size.

Algorithm — step by step:

Fetches the last 3 closed candles on Inp_Filter_3Candles_TF
For each candle: body = |close - open| / _Point
If any candle’s body < Inp_Filter_3Candles_MinBody → signal is invalid
BUY: all 3 candles are bullish (close > open)
SELL: all 3 candles are bearish (close < open)

Log: "3 Candles BUY" / "3 Candles SELL"

Strength: Simple, visually intuitive, and highly effective as a validator — it confirms momentum before Smart DI or MTF fire their signals.