Testing Mode

These strategies are currently being live-tested and verified. Performance data shown is real and unfiltered. Strategies will be available for subscription after establishing a robust track record.

Automated Trading

Trading Strategies

Multiple strategies across exchanges with full transparency. Every trade tracked, every PnL logged.

Strategy Trades Win Rate PnL (USDT) Growth (%) Start Equity Max DD
Conservative -- -- -- -- -- -- --
Aggressive -- -- -- -- -- -- --
Strategy 3 -- -- -- -- -- -- --
Strategy 4 -- -- -- -- -- -- --
Balanced -- -- -- -- -- -- --
High-Risk -- -- -- -- -- -- --
HFT -- -- -- -- -- -- --
SmartMoney Copytrade -- -- -- -- -- -- --
Compounding Challenge -- -- -- -- -- -- --

Strategy Comparison

All strategies overlaid

Equity Comparison

Cumulative PnL Comparison

Strategy 1 — Conservative
Strategy 2 — Aggressive
Strategy 3
Strategy 4
Strategy 5 — Balanced
Strategy 6 — High-Risk
Strategy 7 — HFT
Strategy 9 — SmartMoney Copytrade

Strategy 1 — Conservative (8% Risk)

Lower risk allocation per trade with broad market coverage. Designed for steady, consistent returns across multiple positions.

Total Trades
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Win Rate
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Profit Factor
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Equity Curve — Strategy 1

Cumulative PnL — Strategy 1

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 1

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 2 — Aggressive (Higher Risk)

Higher conviction trades with concentrated positions. Optimized for capturing larger market moves with defined risk boundaries.

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Equity Curve — Strategy 2

Cumulative PnL — Strategy 2

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 2

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 3 (Multi-Exchange)

Independent execution on a secondary exchange. Same algorithm, different venue for diversification and redundancy.

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Equity Curve — Strategy 3

Cumulative PnL — Strategy 3

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 3

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 4 (DEX)

Decentralized exchange strategy. On-chain trading with permissionless access and transparent order flow.

Total Trades
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Equity Curve — Strategy 4

Cumulative PnL — Strategy 4

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 4

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 5 — Balanced (Moderate Risk)

Balanced risk-reward profile with ML-filtered entries. Moderate position sizing across select high-conviction setups.

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Current Equity
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Account Growth
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Equity Curve — Strategy 5

Cumulative PnL — Strategy 5

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 5

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 6 — High-Risk (Aggressive)

Aggressive micro-account strategy with higher leverage. Small capital, outsized risk tolerance for maximum growth potential.

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Equity Curve — Strategy 6

Cumulative PnL — Strategy 6

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 6

Showing trades from Mar 31, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 7 — HFT (High-Frequency)

High-frequency scalping strategy on Bybit. Fast entries and exits with tight risk management. Small position sizes, high trade volume.

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Equity Curve — Strategy 7

Cumulative PnL — Strategy 7

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 7

Showing trades from Apr 10, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Strategy 9 — SmartMoney Copytrade (deriv040)

Full explainer ▸ Copy Trading page API ▸ How to call this

Fixed 24-hour hold; profit-lock floor (once peak gain hits +3%, a guaranteed-fill stop is raised to +1.5% profit and held on the exchange; upside runs to the 24h horizon); 10% disaster stop; no trailing stop, no take-profit cap. Entry: long when deriv_score ≥ 0.40.

Track record backfilled over one ~3-month regime (Mar–Jun 2026) under the new exit model, $100 fixed notional per signal on a $200 base: 53.6% win rate, +0.85% avg/trade, +64.3% cumulative, 11.0% max portfolio drawdown, profit factor 2.07 (151 trades). Live trades extend it. Past performance is not indicative of future results; this is a single regime, not a long-run proof.

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Profit Factor
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Max DD (Trade)
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Current Equity
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Account Growth
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Equity Curve — Strategy 9

Cumulative PnL — Strategy 9

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 9

Showing trades from Mar 26, 2026 onwards
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Compounding Challenge (Trailing Stop)

Live micro-account compounding from ~$22 starting equity. Bybit perpetuals, trailing-stop exits, 3x leverage. Entry: smart-money composite signal + game mode.

Early-stage sample (~20 live trades, started May 2026, ~$25 equity). Stats are real but statistically immature — insufficient sample for edge claims. W/L 15/5 (75%) over 20 trades. Treat as proof-of-concept, not verified track record.

Total Trades
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Win Rate
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Total PnL
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Profit Factor
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Max DD (Trade)
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Max DD (Portfolio)
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Current Equity
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Account Growth
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Equity Curve — Strategy 10

Cumulative PnL — Strategy 10

Direction Split

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Exit Reason Breakdown

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Trade History — Strategy 10

Live trades from May 2026 onwards (early sample)
# Time Symbol Dir Entry Exit SL / TP Lev Margin PnL % Net % PnL USDT Exit Reason Equity After
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Per-Symbol Statistics

Symbol Trades Wins Losses Win Rate Total PnL Avg PnL Best Trade % Worst Trade %
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Signal Analysis

Signal Type Count Wins Losses Win Rate Avg PnL Total PnL
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About Our Trading Strategies

Transparent, algorithmic, and fully auditable

What Are Automated Trading Strategies?

Automated trading strategies use algorithmic systems to identify market entry and exit points based on a defined set of technical and sentiment signals. By removing human emotion from the decision-making process, algorithmic strategies can execute consistently across changing market conditions — entering and exiting positions precisely according to pre-defined rules, without hesitation or bias.

How We Track Performance

Every trade is logged in real-time with full metadata — entry and exit prices, timestamps, leverage, margin used, stop loss, take profit, and final PnL. No trades are deleted, edited, or cherry-picked after the fact. The equity curve is calculated cumulatively from the first trade, giving you a true picture of account growth over time. What you see here is exactly what happened.

Risk Management Approach

Each strategy operates with a fixed risk percentage per trade, preventing any single position from causing outsized damage to the portfolio. Entries are protected by structural stop losses placed at key technical levels, while take profits are managed dynamically — locking in gains as positions move favorably. This combination of defined downside and adaptive upside is central to long-term compounding.

Why Two Strategies?

Different traders have different risk tolerances and return expectations. Strategy 1 uses a conservative 8% risk-per-trade model, targeting steady compounding with lower volatility. Strategy 2 applies a higher conviction approach with concentrated positions, aiming for larger individual returns at the cost of higher drawdown potential. Together they offer a choice — steady growth or higher upside — both built on the same signal intelligence infrastructure.