Fund Grade Algos Hunting You

One separate industry events, CFOs and CTOs inquired into the fuzzy logic of the Institutional Level algorithms created by our team.

There is no one logic, but we're providing a list of those we've already created. Kudos to partner Richard Wakefield who's worked at the world's largest banks for 25 years!

⚡ 1. The Multi-Venue Liquidity Echo Engine (MLEE)

Institution-style thesis:Price reacts to synchronized liquidity sweeps across multiple correlated assets (e.g., XAUUSD vs. DXY vs. Yields; US100 vs. VIX; BTC vs. ETH).Funds watch these “echoes” to anticipate reversals before retail sees them.

Core Logic:

• Track liquidity sweeps + BOS on primary asset

• Confirm using “echo” sweep on correlated asset

• Validate with:

  • CVD divergence

  • Session volume profile displacement

  • VWAP deviation bands

Why funds love this:It dramatically reduces false signals because entries only fire when two markets confirm the same imbalance.

⚡ 2. Institutional VWAP Raid & Reversion System (IVRRS)

Thesis:Price hunts VWAP deviations in the kill zones (7:30–10:30 and 13:00–15:30 NY).Institutions fade extreme deviations back to VWAP if delta structure confirms.

Core Logic:

• VWAP algorithm with dynamic standard deviation bands

• Entry when:

  • Price deviates 1.5–2.5 SD

  • CVD shows exhaustion

  • Session VP shows low-volume pocket

• Target: Return to VWAP

• SL: New extreme beyond deviation

Why it's fund-grade:VWAP is the institutional anchor. This strategy mirrors how execution algos rebalance positioning intraday.

⚡ 3. Smart Money Range Expansion Engine (SMREE)

Thesis:Markets consolidate → accumulate positions → expand violently.Funds predict expansions using volume + delta signatures inside the range.

Core Logic:

• Dynamic detection of tight consolidation boxes

• Expansion entry when:

  • CVD sweeps a liquidity pocket

  • Volume profile shows imbalance (single print node)

  • Breakout with displacement candle

• Targets: Range projection (1x, 1.5x, 2x range)

• Auto-detect false breakouts

Why funds use this:Explosive moves with tight SLs = extremely high R:R.

⚡ 4. Goldbach Institutional Bias Engine (GIBE)

Thesis:Goldbach cyclical levels + liquidity-based price structure predict directional bias.This is extremely powerful for swing trading indices and gold.

Core Logic:

• Plot Goldbach levels (prime-sum projected levels)

• HTF displacement with:

  • CVD trend confirmation

  • Multi-session VWAP curvature

• Entries only in direction of Goldbach bias + delta alignment

• SLs under Goldbach invalidation zones

Why it's institutional:Goldbach gives long-term bias; delta + profile refines entries.

⚡ 5. Fair Value Gap Refill Engine with Delta & Volume (FVG-DV Pro)

Thesis:FVGs only hold weight when volume and delta confirm the direction.Institutions detect FVG quality using orderflow — we automate that.

Core Logic:

• Auto-detect FVGs

• Rate FVGs (Grade A, B, C) using:

  • Delta surge direction

  • Volume spike or vacuum

  • Implied fair value from VPOC

• Entry: High-grade FVG only

• Re-entry: 50% FVG line

• Exit: Opposing FVG or VPOC sweep

Why it's fund-grade:Retail uses FVGs blindly. Funds filter them using real orderflow.

⚡ 6. The Institutional Kill-Zone Triple Confirmation Engine (KZ-TC Pro)

Thesis:Institutions time their trades.Nearly 70% of intraday institutional moves begin in three windows:

• London Kill Zone (2:00–5:00 NY)

• NY Open (8:30–10:30 NY)

• Power Hour (15:00–16:00 NY)

If structure + delta + volume agree in these windows, the probability skyrockets.

Core Logic:

• Kill-zone detection

• MTF structure filter (HTF bias + LTF confirmation)

• CVD reversal or continuation signal

• Volume profile imbalance inside the zone

• Unified signal table dashboard

• Session-gated entries

Why it's institutional:Institutional flow clusters around session opens.This strategy exploits that precision.

⚡ 7. Institutional Imbalance Fill & Expansion Engine (IFE-X)

Thesis:After an imbalance, price expands in the same direction if the imbalance is volume-validated.Funds use imbalance quality to judge continuation.

Core Logic:

• Auto-detect imbalances

• Grade imbalances by:

  • Volume distribution

  • Delta gradient

  • Subsequent retest quality

• Long only if imbalance is bullish + CVD rising

• Short if opposite

• SL under imbalance lower bound

Why it’s elite:Continuation setups with very clean, tight invalidation.

⚡ 8. The Institutional Accumulation/Distribution Footprint Engine (ADFE)

Thesis:Footprint logic simplified for TradingView/cBots:Detect true absorption and real distribution using delta-volume inflection points.

Core Logic:

• Accumulation signal:

  • Price makes equal lows

  • Delta shows aggressive absorption

  • Volume profile shifts upward

• Distribution:

  • Equal highs

  • Delta divergence

  • VP shifts downward

• Entries on breakout of the range

• Very tight SLs

Why funds use this:They accumulate quietly before detonating the move.