How to Build a 5-Day Weekly AI PIPS Playbook for SA Traders Using AI Signals, IOF Patterns, and Risk Tools

Trading in the fast-paced forex markets requires structure, discipline, and reliable signals—especially for South African traders balancing time zones and session windows. In this tutorial, we’ll guide you step-by-step on converting AI PIPS signals into a repeatable weekly workflow aligned with SA time zones, London, and NY session peaks. We’ll cover prerequisites, signal pipeline, core concepts, and a practical 5-day playbook. Ready to implement a professional, systematic routine? Let's dive.

1. Prerequisites for Your AI PIPS Trading Routine

Before we begin, ensure you have the following:

• Telegram account (mobile preferred)
• AI PIPS Telegram alerts—subscribe via https://aipips.co.za, opt for a 3-day free trial, and confirm access.
• Access to AI PIPS calculators: Lot Size Calculator, Pips Value, P&L, and Economic Calendar tools.
• A trading journal template for post-trade review.
• Broker account compatible with manual execution.

These tools lay the foundation for your structured protocol.

2. The AI PIPS Signal Pipeline

Understanding how signals are generated and delivered is key:

• Market scan confluence scoring: AI scans multiple major pairs, applies confluence scoring based on factors like Market Structure, IOF patterns, and session timing.
• Scripted verification: Human traders review high-confluence signals for qualitative confirmation.
• Telegram delivery: Confirmed signals are broadcast via Telegram with details: pair, direction, entry, TP levels, SL, confluence score, confidence level.

Example alert layout: EURUSD BUY @ 1.0750 | TP1 1.0770 | TP2 1.0790 | SL 1.0730 | Confidence 85% | Session: London

• Confidence gating: Only signals above 70% are considered for execution.

3. Core Concepts From the Knowledge Base

IOF Patterns (Internal Order Flow)

• Liquidity grabs: Price sweeps highs/lows to trigger stops or institutional liquidity.
• Fair Value Gaps (FVGs): Imbalances on price chart that typically retrace.
• Order blocks: Zones where institutional traders have accumulated or distributed.

Market Structure (MSS)

• High Timeframe (HTF): 4H or Daily bias, identifying trend direction.
• Lower Timeframe (LTF): 15M/1H entries, looking for MSS Break of Structure (BOS).
• Confidence Threshold: Signals with confluence score ≥70%. Above 80% are particularly strong.

Session Focus

• Emphasize London and NY sessions—especially overlapping hours—when institution activity peaks.

Risk Tools

• Manage risk per trade: 1-2% of capital.
• Use TP tiers: TP1 (break-even), TP2 (partial take), TP3 (runner).

4. A Practical 5-Day Playbook

Day 1: Preparation & Market Scan

• Review the economic calendar for major releases.
• Confirm session timing (London/NY active hours).
• Collect overnight news and prior day’s high/low.
• Scan markets with AI PIPS: check confluence scores, identify top signals.

Day 2: Signal Selection & Planning

• Review signals with ≥70% confidence.
• For each, analyze IOF patterns (liquidity grab, FVG, order blocks).
• Confirm HTF bias (e.g., bullish in daily timeframe).
• Use the Lot Size Calculator to size your trade based on 1-2% risk.
• Prepare entry, SL, TP tiers.

Example:

• Signal: EURUSD BUY @ 1.0750
• HTF bias: Bullish
• IOF pattern: FVG fill near liquidity zone.
• Lot size for $10,000 account, 1.5% risk, SL 50 pips → Lot size ≈ 0.20.
• Define TP1: 1.0770, TP2: 1.0790, TP3: 1.0810.

Day 3: Execution & Monitoring

• Place trades manually or via expert advisor.
• Monitor session-specific activity.
• Manage trades adhering to risk cap.
• Adjust SL/TP as per market behavior.

Example:

• Entry at 1.0750, SL at 1.0730 (50 pips), TP1 at 1.0770, partial profit at TP2.
• Adjust stops to breakeven at TP1.

Day 4: Post-Trade Review

• Log entry, exit, SL, TP, confluence score.
• Analyze IOF pattern recognition accuracy.
• Record win/loss, R:R ratios.
• Reflect on discipline adherence.

Day 5: Weekly Review & Planning

• Summarize trades performed.
• Calculate overall success rate.
• Adjust parameters for next week.
• Identify patterns in signals and IOF success.

5. Two Real-World Trade Scenarios

Scenario 1: EURUSD Long Setup

• Signal: BUY @ 1.0750, confidence 85%.
• IOF: Recognized liquidity grab below recent low, followed by FVG fill, and bullish order block.
• HTF bias: Bullish.
• Entry close to support zone, SL 50 pips below.
• Lot size: 0.20 for $10,000 account.
• TP1: 1.0770, TP2: 1.0790, TP3: 1.0810.
• Trade outcome: Reached TP2, 1:2 R:R, risk $150.

Scenario 2: GBPUSD Short Reversal

• Signal: SELL @ 1.2400, confidence 78%.
• IOF: Liquidity grab of recent high, look for FVG and order block reversal.
• HTF bias: Bearish.
• Entry at 1.2400, SL at 1.2420.
• Lot size: 0.25.
• TP1: 1.2380, TP2: 1.2360.
• Trade outcome: Hit TP1, R:R approximately 1:2.

6. Templates and Checklists

Pre-Trade Checklist

• Confirm economic calendar and major news.
• Review session timings.
• Select signals with ≥70% confidence.
• Analyze IOF patterns and HTF bias.
• Calculate lot size for 1-2% risk.
• Define TP tiers.

Trade Log Template

Date & Time	Pair	Direction	Entry	SL	TP1	TP2	TP3	Signal Confidence	IOF Pattern	Trade Result
DD/MM HH:MM	EURUSD	BUY	1.0750	1.0730	1.0770	1.0790	1.0810	85%	FVG fill	Win/Loss

Post-Trade Review

• What went well?
• What could be improved?
• Did the trade follow the playbook?

7. Final Thoughts & Next Steps

Converting AI PIPS signals into a repeatable weekly workflow provides discipline, clarity, and the confidence of a structured system. Focus on mastering IOF pattern recognition, adhering to risk management protocols, and refining your entries in line with HTF bias.

Don't forget: to get started, sign up for the 3-day free trial, enable Telegram alerts, and test this routine while journaling your results. Continuous review will help you evolve as a professional trader, leveraging AI and proven market concepts.

Happy trading!