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PSRC CME Order-Flow Sweep Reversal Indicator

  • Writer: Sandra Wakefield
    Sandra Wakefield
  • 23 hours ago
  • 8 min read

Professional User Manual



AI Engine: PSRC Order-Flow Sweep Reversal

Platform: TradingView

Required plan: TradingView Premium or Ultimate

Primary use case: Nasdaq 100 and S&P 500 reversal trading using CME futures order flow

Recommended execution instruments: NQ, MNQ, ES, MES, USTEC, US500 / SP500 CFDs


1. Purpose of the Engine


The PSRC CME Order-Flow Sweep Reversal AI Indicator is designed to identify high-quality market turning points where price sweeps liquidity, aggressive order flow becomes exhausted, and price reclaims the swept level.


The indicator is not a generic buy/sell tool. It is an institutional-style reversal engine built around this sequence:


Liquidity sweep → CME footprint aggression → absorption/exhaustion → reclaim → reversal signal


Its strongest use case is detecting failed breakouts after stops have been run above or below important intraday liquidity levels.


2. Why the Logic Is Institutional


Retail reversal systems usually rely on lagging indicators such as RSI, moving averages, MACD, or simple support/resistance. This indicator uses a more professional framework:

Where is liquidity?

Who is aggressively participating?

Did that aggression create continuation?

Did price reclaim after the sweep?


That is closer to how institutional traders read auctions.

TradingView’s Volume Footprint chart displays buying and selling volume at price levels inside individual candles, giving more granular insight into the buyer/seller battle than standard candles alone. TradingView also documents that request.footprint() allows Pine scripts to access footprint data, but it is limited to one unique footprint call and requires Premium or Ultimate access.


The AI indicator becomes institutional because it combines:


Layer

Function

CME futures footprint

Reads centralized futures order flow

Liquidity sweep logic

Detects stop runs above/below obvious levels

Delta climax

Detects aggressive one-sided participation

Volume climax

Confirms meaningful participation

Footprint imbalance scan

Identifies pressure near candle extremes

Reclaim requirement

Prevents blind fading of breakouts

VWAP/session context

Filters trades by auction location

Bar-close confirmation

Reduces repaint-style false signals

3. Core Signal Logic

Buy signal logic


A buy signal forms when:

  1. Price sweeps downside liquidity.

  2. The sweep is confirmed on the chart symbol.

  3. CME futures footprint shows aggressive selling.

  4. Volume expands.

  5. The futures candle closes strong.

  6. Selling pressure fails to create downside continuation.

  7. Price reclaims the swept level.

  8. Optional filters such as VWAP, ATR, and CVD divergence pass.


Simplified:


Low swept + negative CME delta climax + high volume + strong close + reclaim = BUY


Sell signal logic

A sell signal forms when:

  1. Price sweeps upside liquidity.

  2. The sweep is confirmed on the chart symbol.

  3. CME futures footprint shows aggressive buying.

  4. Volume expands.

  5. The futures candle closes weak.

  6. Buying pressure fails to create upside continuation.

  7. Price reclaims below the swept level.

  8. Optional filters such as VWAP, ATR, and CVD divergence pass.


Simplified:


High swept + positive CME delta climax + high volume + weak close + reclaim = SELL


4. What the Indicator Is Really Detecting


The indicator is trying to find trapped traders.


Bullish reversal example


Sellers aggressively push price below a prior low. Stops are triggered. Breakout sellers enter. The footprint shows strong negative delta, but price fails to continue lower and closes back above the swept level.


That implies:


Sellers were aggressive, but ineffective.

Passive buyers likely absorbed the sell pressure.

Late sellers are now trapped.


Bearish reversal example


Buyers aggressively push price above a prior high. Stops are triggered. Breakout buyers enter. The footprint shows strong positive delta, but price fails to continue higher and closes back below the swept level.


That implies:


Buyers were aggressive, but ineffective.

Passive sellers likely absorbed the buy pressure.

Late buyers are now trapped.


5. CME Order-Flow Source Mapping


The indicator allows only four institutional futures feeds:


Market traded

Recommended order-flow source

Alternative source

Nasdaq 100 futures

CME_MINI:NQ1!

CME_MINI:MNQ1!

Nasdaq CFD / USTEC

CME_MINI:NQ1!

CME_MINI:MNQ1!

S&P 500 futures

CME_MINI:ES1!

CME_MINI:MES1!

S&P CFD / US500 / SP500

CME_MINI:ES1!

CME_MINI:MES1!


Recommended setting


For IC Markets USTEC:


Order-Flow Futures Feed = CME_MINI:NQ1!

Use Chart Symbol For Sweeps / VWAP / PDH-PDL = ON


For IC Markets US500 / SP500:


Order-Flow Futures Feed = CME_MINI:ES1!

Use Chart Symbol For Sweeps / VWAP / PDH-PDL = ON


This is the correct hybrid model:


CME futures = order-flow confirmation

CFD chart = execution levels


Do not plot external futures POC/VAH/VAL directly on CFD charts unless you understand the price offset between futures and CFD pricing.



6. Best Assets

Primary assets


These are the best instruments for this indicator:


Asset

Quality

Notes

NQ futures

Excellent

Best Nasdaq order-flow source

MNQ futures

Excellent

Same underlying, smaller contract

ES futures

Excellent

Best S&P 500 order-flow source

MES futures

Excellent

Same underlying, smaller contract

IC Markets USTEC

Good

Use NQ/MNQ order flow, execute on CFD levels

IC Markets US500 / SP500

Good

Use ES/MES order flow, execute on CFD levels


Secondary assets


Possible, but not preferred:


Asset

Usefulness

Notes

NAS100 CFDs from other brokers

Moderate

Must align to NQ order flow

SPX500 CFDs from other brokers

Moderate

Must align to ES order flow

QQQ / SPY

Moderate

ETF session behavior differs from futures

BTC / ETH

Not for this version

Needs crypto-native footprint logic

Forex

Not recommended

Fragmented spot FX volume

Gold / Oil

Not for this locked version

Would need GC/CL futures sources


7. Best Timeframes

Best overall timeframe


The 5-minute chart gives the best balance between signal quality and execution practicality. It filters noise better than the 1-minute chart while still capturing intraday reversals early.


Recommended by market


Market

Aggressive

Balanced

Conservative

NQ / USTEC

1m–2m

5m

15m

ES / US500

2m–3m

5m

15m

MNQ / MES

2m–5m

5m

15m

Use:


1m–2m = scalping, more signals, more noise

5m = best default

15m = fewer signals, stronger context, wider stops


For most traders, the best operating window is 5-minute chart during New York session.


8. Best Sessions


The indicator is strongest when liquidity and participation are high.


Best session windows


Session

Quality

Notes

New York open

Excellent

Best liquidity and volatility

9:30–11:30 NY time

Excellent

Highest-quality intraday reversal window

13:30–15:30 NY time

Good

Afternoon continuation/reversal setups

Power hour

Good but volatile

Strong reversals, wider stops

Overnight futures

Moderate

Can work, but thinner liquidity

Asia session on US indices

Weak

Lower liquidity, fewer reliable signals


Best default: Trade only 9:30–11:30 New York time first.


9. Optimal Indicator Settings


Balanced default settings


Use these for most NQ/ES testing:


Setting

Value

Order-Flow Futures Feed

CME_MINI:NQ1! or CME_MINI:ES1!

Use Chart Symbol For Sweeps / VWAP / PDH-PDL

ON

Ticks Per Footprint Row

100

Footprint Value Area %

70

Imbalance %

300

Scan Footprint Rows

ON

Extreme Zone Portion

0.33

Min Extreme Imbalances

1

Swing Liquidity Lookback

20

Require Reclaim

ON

Delta Average Length

50

Delta Climax Multiplier

1.25

Volume Average Length

50

Volume Climax Multiplier

1.10

Bullish Close Position

0.60

Bearish Close Position

0.40

Require CVD Divergence

OFF

VWAP Filter

ON

ATR Filter

OFF initially


10. Recommended Settings by Use Case


NQ / USTEC balanced


Timeframe: 5m

Order-flow source: CME_MINI:NQ1!

Ticks Per Row: 100

Imbalance %: 300

Swing Lookback: 20

Delta Climax Multiplier: 1.25

Volume Climax Multiplier: 1.10

Require CVD Divergence: OFF

VWAP Filter: ON


NQ / USTEC stricter


Timeframe: 5m

Ticks Per Row: 100

Imbalance %: 300–400

Swing Lookback: 20–30

Delta Climax Multiplier: 1.50

Volume Climax Multiplier: 1.25

Require CVD Divergence: ON

VWAP Filter: ON


ES / US500 balanced


Timeframe: 5m

Order-flow source: CME_MINI:ES1!

Ticks Per Row: 25–50

Imbalance %: 300

Swing Lookback: 20

Delta Climax Multiplier: 1.25

Volume Climax Multiplier: 1.10

Require CVD Divergence: OFF

VWAP Filter: ON


ES / US500 stricter


Timeframe: 5m–15m

Ticks Per Row: 50

Imbalance %: 300–400

Swing Lookback: 25–40

Delta Climax Multiplier: 1.50

Volume Climax Multiplier: 1.25

Require CVD Divergence: ON

VWAP Filter: ON


Scalping mode


Timeframe: 1m–2m

Ticks Per Row: 25–50 for NQ, 10–25 for ES

Swing Lookback: 10–15

Delta Climax Multiplier: 1.10–1.25

Volume Climax Multiplier: 1.00–1.10

Require CVD Divergence: OFF

VWAP Filter: ON


Scalping mode should only be used by traders with fast execution and strict risk control.


11. Dashboard Interpretation


Dashboard item

Meaning

Chart Symbol

Instrument currently displayed

OF Source

CME futures symbol supplying footprint data

Level Source

Whether sweeps/VWAP/PDH/PDL use chart or CME levels

Footprint

Whether footprint data is available

Session

Whether current bar is inside allowed trading session

CME Delta

Current bar footprint delta

CME CVD

Session cumulative delta

Buy Imb

Number of buy imbalances detected

Sell Imb

Number of sell imbalances detected

Bull Sweep

Downside liquidity sweep detected

Bear Sweep

Upside liquidity sweep detected

Signal

Current confirmed signal state


Correct dashboard state before trading

For CFD execution, the ideal dashboard should look like this:


Footprint: Available

Session: Active

Level Source: Chart

OF Source: CME_MINI:NQ1! or CME_MINI:ES1!

Signal: BUY / SELL only on confirmed setups


12. Signal Best Practices

Do take signals when:


  • Signal occurs near prior day high/low.

  • Signal occurs near session high/low.

  • Signal occurs after a clear stop run.

  • Price reclaims the swept level.

  • CME delta shows one-sided aggression that failed.

  • Signal appears near VWAP deviation or value-area extreme.

  • The signal candle closes decisively.

  • Spread is normal.

  • No major news is active.


Avoid signals when:

  • Price is in the middle of a range.

  • There was no meaningful liquidity sweep.

  • The signal appears during major news release volatility.

  • Price accepts outside value after breakout.

  • VWAP slope strongly supports continuation against the signal.

  • The market is grinding one-directionally with no failed auction.

  • Signal appears during illiquid overnight conditions.

  • CFD spread is unusually wide.


13. How to Trade the Signal Discretionarily


Conservative execution


Wait for the signal candle to close. Enter only if the next candle does not immediately invalidate the setup. Entry = next candle open or minor retest of swept level.


Stop placement

For buys: Stop = below sweep low + small ATR buffer

For sells: Stop = above sweep high + small ATR buffer

Buffer: 0.10–0.25 ATR



Target logic

Preferred target ladder:


For buys:

TP1 = VWAP

TP2 = session midpoint / POC area

TP3 = opposing liquidity above



For Sells:

TP1 = VWAP

TP2 = session midpoint / POC area

TP3 = opposing liquidity below


14. Risk Management Rules

Minimum institutional risk model:


Rule

Recommended value

Risk per trade

0.25%–1.00%

Max daily loss

2R

Max consecutive losses

2–3

Max trades per day

2–4

Stop required

Always

Trade during news

No

Trade without reclaim

No

Trade outside session

No


A high win rate does not remove risk. The strategy must still be evaluated by expectancy: Expectancy = (Win Rate × Average Win) - (Loss Rate × Average Loss)

A 90% win rate can still fail if the average loss is much larger than the average win.


15. Backtesting and Forward-Testing Protocol


Do not validate the indicator visually only. TradingView’s Bar Replay can simulate historical price movement for testing and training, but final validation should include a formal strategy version with objective entries/exits.


Correct validation process


Use three stages:


Stage 1: Visual audit

Stage 2: Strategy backtest

Stage 3: Live forward test


Required metrics


Track:


Metric

Why it matters

Win rate

Measures signal accuracy

Average R

Measures reward quality

Profit factor

Measures robustness

Max drawdown

Measures survival risk

MAE

Shows how far trades go against entry

MFE

Shows profit potential after entry

Consecutive losses

Helps set kill switch rules

Session performance

Identifies best trading windows

Asset performance

Confirms whether NQ or ES is better


16. Final Institutional Recommendation


Best starting configuration:


Asset: USTEC or NQ

Order-flow source: CME_MINI:NQ1!

Timeframe: 5m

Session: 9:30–11:30 NY time

Ticks per row: 100

Imbalance: 300%

Delta climax: 1.25

Volume climax: 1.10

CVD divergence: OFF initially

VWAP filter: ON

Execution levels: Chart

Alerts: Once Per Bar Close


For ES/US500


Asset: US500 or ES

Order-flow source: CME_MINI:ES1!

Timeframe: 5m

Session: 9:30–11:30 NY time

Ticks per row: 25–50

Imbalance: 300%

Delta climax: 1.25

Volume climax: 1.10

CVD divergence: OFF initially

VWAP filter: ON

Execution levels: Chart

Alerts: Once Per Bar Close


Final note: this AI driven tool should be treated as a high-quality order-flow reversal detector, not an infallible system.












 
 
 

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