📘 Quant Spec Document: Step Index 100 Sniper AI Bot (Hybrid Mode Enabled)

Objective:

Design and implement a high-precision, rule-based trading bot that executes sniper Smart Money Concept (SMC) trades on Step Index 100 to grow accounts aggressively, targeting $1k → $3k per day, and transitioning into a swing-trading mode to compound profits toward $10k–$30k+ weekly, all while using tight risk control and flawless execution.

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🔁 Dual Mode Strategy

1. Normal Day-Trade Mode

• Short-term sniper trades (M15 time frame)
• $1k starting capital → $3k target via multiple high-RRR trades
• Tight stop-loss (5–15 pips)
• Up to 5 trades/day (max risk: 10–20% per trade)

2. Hybrid Swing Mode (Runs in Parallel)

• Bot continues day trading until a valid swing setup is found
• When swing trade is detected (H1/H4 confluence), bot enters it using profit only
• Once swing trade is placed, day trade engine pauses
• Swing trades target 300–1000+ pip moves with extended holding period

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🧠 Strategy Overview

✅ Core Logic:

• Trade only when all SMC conditions are met:
  1. Break of Structure (BOS)
  2. Valid Order Block (OB)
  3. Liquidity Sweep
  4. OB within 61.8–78.6% Fibonacci retracement
  5. Clean price structure above/below OB
  6. Impulse from OB caused BOS

✅ Entry Type:

• Sniper LIMIT order at OB wick
• Stop-loss (SL): 5–15 pips (day), 100–300 pips (swing)
• Take-profit (TP): Minimum 1:3 RRR

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🔍 Perfect OB Filter Module

🎯 Purpose:

Filter out weak or fake OBs. Only execute high-confluence sniper setups.

✅ Filter Scoring Logic (max score = 6):

• +1: OB caused a clean displacement
• +1: OB is unmitigated
• +1: Liquidity sweep occurred just before OB
• +1: OB aligns with Fib retracement zone (61.8–78.6%)
• +1: Clean structure around OB (no wick chaos)
• +1: OB impulse caused BOS

🧪 Acceptance Threshold:

• Only accept OBs with score ≥ 5

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📈 Swing Trade Detection Logic (High Precision)

🔹 Requirements for Swing Trade Entry:

• Timeframe: 4H (structure), 1H/4H (entry logic)
• Confirmed BOS on 4H timeframe (major structural break)
• Identify last unmitigated OB that caused BOS
• OB must sit within 61.8–78.6% Fib retracement zone
• Liquidity must have been swept just before OB formation
• Clean price action and minimal traffic around OB zone
• Confluence score must be ≥ 5/6

🔹 Execution:

• Entry: Limit order at OB wick
• SL: Just outside OB sweep (100–300 pips)
• TP: Swing high/low or 1:3 to 1:6 RRR target (300–1000+ pips)
• Risk: Only use profit buffer from day trades (never principal)

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🤖 Bot Execution Flow

🔹 Day Trade Mode

if detect_bos():
    ob = detect_order_block()
    if is_perfect_ob(ob, bos, candles, liquidity_zones, fib_zone):
        lot_size = calculate_lot_size(account_balance, sl)
        place_limit_order(entry, sl, tp, lot_size)
        monitor_trade()
        update_profit_tracker()

🔹 Swing Mode Scanner (Runs in Parallel)

if detect_bos(tf='H4'):
    ob = detect_order_block(tf='H4')
    if is_perfect_ob(ob, bos, candles_h4, liquidity_zones, fib_zone):
        lot = calculate_lot_size(day_profit_buffer, swing_sl)
        place_limit_order(entry, swing_sl, swing_tp, lot)
        pause_day_trading()

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💸 Risk Management Rules

Rule	Value
Per trade risk (Day)	10–20% of current balance
SL size (Day)	5–15 pips
TP ratio (Day)	Minimum 1:3 RRR
Max trades/day	3–5
Swing risk	Use only profit from Day mode
SL size (Swing)	100–300 pips
TP ratio (Swing)	1:3 – 1:6

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📊 Trade Frequency Estimates

Trade Type	Frequency
100–300 pip sniper trade	2–4 times daily
300–500 pip swing trade	1–3 times weekly
500–1000 pip multi-leg trade	1x per week

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🔐 Profit Allocation & Swing Trigger

• Bot tracks daily profit growth
• Continues day mode until high-confluence swing OB appears
• When swing setup detected:
  • Uses profit buffer only as capital (e.g., $3k)
  • Pauses day trades
  • Monitors swing trade until TP or SL is hit
  • Resets logic next session

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🧱 Modules Required

1. Market Scanner

• Detect BOS, swing highs/lows, OB candidates on multiple TFs

2. Perfect OB Filter

• Score OB validity, reject weak setups

3. Risk Engine

• Auto-calculate lot sizes from SL + risk %

4. Trade Engine

• Place LIMIT orders with SL/TP logic for day + swing modes

5. Performance Tracker

• Track daily profits, monitor buffer, activate swing scan

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🧠 Quant Notes:

• Use Python + MT5 SDK (or Deriv API)
• Separate day_engine() and swing_engine() modules
• Enable parallel monitoring of swing conditions
• Trade log should mark: [type: day] or [type: swing]

🔁 Learning & Optimization Module (Self-Training Logic)

🔹 Purpose:

Continuously improve entry accuracy, filter tuning, and SL/TP logic by learning from live and historical performance.

🔹 Core Features:

• Trade Logger: Save full trade context (TF, entry zone, SL/TP, confluence score, outcome)
• Accuracy Monitor: Calculate win rate, RRR, stop-out behavior per setup type
• Filter Optimizer: Adjust confluence thresholds based on win/loss streaks
• OB Replay Evaluator: Re-analyze all trades post-close to identify what changed between entry and exit

🔹 Future Extensions:

• Integrate LSTM or attention-based model to learn which confluence mixes produce the best results
• Enable semi-supervised fine-tuning of OB filters from large datasets
• Build heatmaps of successful OB zones and structure types

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🏁 Final Notes:

This hybrid sniper bot runs day mode continuously until a valid swing trade is found. Once detected, it redirects profit into the swing setup and pauses intraday trades.

Day builds margin → swing scales the gains.

This approach maximizes trade frequency, efficiency, and capital scaling within 24/7 synthetic markets.

Video:

https://youtu.be/wVqb9xmCOuk?si=g8-rs2Ro5_X7fHXb