ALGORITHMIC TRADING

+73% Return.
Verified. Backtested. Transparent.

Years of research. Hundreds of failed strategies. One system that survived.

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⚡ LAST YEAR FREE • FULL TRANSPARENCY

+73%
TOTAL RETURN
63%
WIN RATE
4.06
PROFIT FACTOR
3yr
BACKTESTED
THE OPERATOR

10 years in the markets.

Most of that time was spent learning what doesn’t work.

The market doesn’t care about your feelings. It only respects systems built on data, tested over time, and executed without emotion.

TIMELINE

2015
First exposure to crypto

Bitcoin at $300. Started studying blockchain mechanics and market cycles.

2016
ETH mining operations

Built mining rigs. Learned hardware optimization and network economics.

2017-2020
Technical analysis deep dive

Thousands of hours on charts. 200+ strategy variations tested. Most failed.

2021-2023
Algorithmic systems development

Removed emotion from the equation. Built automated scoring engines.

2023 → NOW
SPY system deployed

One system survived. +73% return. Now sharing signals publicly.

⏱️
Time

No shortcuts. Real edge takes years.

📊
Data

Every trade logged. Every loss analyzed.

🎯
Discipline

Execute the system. No exceptions.

🔒
Transparency

Full track record. Nothing hidden.

Why SPY?

After years testing BTC, ETH, forex, commodities — only one asset survived.

🎯 Predictable Behavior

Unlike crypto chaos, SPY follows institutional patterns. The S&P 500 is the world’s most liquid index.

⚡ Controlled Risk

Tight spreads, deep liquidity, regulated hours. No surprise liquidations at 3 AM.

📊 Proven Track Record

63% win rate. 4.06 profit factor over 3 years of backtesting.

The Methodology

Multi-factor scoring model. Institutional-grade setups only.

1

Trend Structure Classification

EMA convergence analysis across 3 timeframes (9, 21, 50).

2

Momentum Confluence

RSI, MACD divergence, volume-weighted momentum. Simultaneous alignment required.

3

Probabilistic Scoring

Aggregate score 0-100. Entry threshold: 90+ only. Monte Carlo validated.

4

ATR Risk Management

Stops at 2.9% (~1 ATR). Take-profits at 1:1.5 and 1:3 R/R.

The edge isn’t in prediction.
It’s in systematic execution of statistically validated setups.
~6 signals per year. High conviction only.

📊 Verified Metrics

PERFORMANCE

Test Period: Jan 2023 → Jan 2026
Initial Capital: $1,000
Final Value: $1,730.73
Total Return: +73.07%

STATISTICS

Win Rate: 63.2% (12/19)
Profit Factor: 4.06
Avg Win: +8.48%
Avg Loss: -3.08%

SYSTEM

Asset: SPY (S&P 500 ETF)
Timeframe: 1 Hour
Stop Loss: 2.9% (1 ATR)
Frequency: ~6/year

📈 Backtest Analysis

Performance Overview

SPY Trading Strategy Performance

Equity Curve

Algorithmic Trading Equity Curve

Win Rate Distribution

Trading System Statistics

Real-Time Signal Access

Join the Telegram channel. Get instant alerts when the system identifies a high-probability setup.

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2025 is the last year this channel will remain free.

COMING SOON

New Strategies in Development

The SPY system is just the beginning. Additional algorithmic strategies on BTC, ETH, and Forex pairs are currently being backtested and refined.

📈 BTC/USD 📈 ETH/USD 💱 EUR/USD 💱 GBP/USD

Join the Telegram to be notified when new strategies go live.

📋 Complete Signal History

Every signal. Nothing hidden. Full transparency.

19
TOTAL
12
WINS
7
LOSSES
+73%
RETURN
#19 LONG
OPEN
Entry: $663.06
Current: $688.00
Oct 13, 2025
+3.55%
+$47.18
#18 LONG
LOSS
Entry: $671.04
Exit: $651.58
Oct 06 → Oct 10
-3.09%
-$41.57
#17 LONG
WIN
Entry: $617.92
Exit: $671.66
Jun 30 → Oct 03
+8.48%
+$104.90
#16 LONG
WIN
Entry: $565.00
Exit: $614.17
May 05 → Jun 27
+8.49%
+$95.98
#15 LONG
WIN
Entry: $521.96
Exit: $567.29
Apr 22 → May 02
+8.47%
+$88.48
#14 LONG
LOSS
Entry: $528.78
Exit: $513.63
Apr 11 → Apr 21
-3.06%
-$32.38
#13 SHORT
LOSS
Entry: $501.69
Exit: $516.25
Apr 08 → Apr 09
-3.10%
-$31.16
#12 SHORT
WIN
Entry: $596.82
Exit: $544.89
Dec 27 → Apr 03
+8.50%
+$101.58
#11 LONG
LOSS
Entry: $598.95
Exit: $581.59
Nov 12 → Dec 20
-3.09%
-$37.08
#10 LONG
WIN
Entry: $545.98
Exit: $593.50
Sep 09 → Nov 07
+8.49%
+$92.76
#9 LONG
LOSS
Entry: $560.73
Exit: $544.48
Aug 21 → Sep 06
-3.09%
-$34.71
#8 SHORT
LOSS
Entry: $519.58
Exit: $534.58
Aug 07 → Aug 12
-3.09%
-$32.11
#7 LONG
LOSS
Entry: $529.31
Exit: $513.96
May 17 → Aug 05
-3.09%
-$32.79
#6 LONG
WIN
Entry: $487.36
Exit: $529.69
Jan 25 → May 15
+8.47%
+$82.63
#5 LONG
WIN
Entry: $449.58
Exit: $488.70
Nov 16 → Jan 24
+8.48%
+$76.36
#4 LONG
WIN
Entry: $414.92
Exit: $451.00
Oct 30 → Nov 15
+8.48%
+$70.43
#3 SHORT
WIN
Entry: $453.50
Exit: $414.02
Jul 20 → Oct 26
+8.51%
+$77.22
#2 LONG
WIN
Entry: $419.06
Exit: $455.51
May 22 → Jul 19
+8.48%
+$71.15
#1 LONG
WIN
Entry: $385.39
Exit: $418.78
Jan 06 → May 18
+8.45%
+$65.17

⚠️ Risk Disclosure

Trading involves substantial risk of loss. Past performance does not guarantee future results. Results shown are based on backtested data and may not reflect actual trading conditions. For educational purposes only. Not financial advice.

Ready to Start?

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⏳ 2025 is the last year this channel will remain free.

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Questions? DM on X

@jean_gwop

code is poetry. 🖤

1. Scan & Analyse technique (25 min)

🔍 Objectif : Voir si une opportunité claire se présente aujourd’hui

✅ Outils : TradingView

Actifs : BTC / ETH / SOL / WIF

Timeframes : 1D → 4H → 1H (si affinement nécessaire)

Checklist visuelle à faire sur chaque actif :

  • 🔹 Tendances : haussier / baissier / range ?
  • 🔹 Supports / Résistances à tracer
  • 🔹 Cassures récentes ou en préparation ?
  • 🔹 Rebond EMA20/50 ? Pullback en cours ?
  • 🔹 RSI > 50 (bullish) ou < 50 (bearish) ?
  • 🔹 Volume : augmentation ou divergence ?

💡 Si setup validé = note-le dans ton journal (ne trade pas encore, on y revient après)


📉 2. Analyse perps (10 min)

🎯 Objectif : Confirmer ou annuler un trade avec les données de marché dérivé

✅ Outils :

  • CoinGlass (ou extension)
    • 🔸 Funding Rate (normal, trop + ou – ?)
    • 🔸 Open Interest (hausse → nouvelles positions ?)
    • 🔸 Heatmap liquidations (Hyblock, optionnel)

Règles simples :

  • ✅ Funding normal ou légèrement négatif → OK pour long
  • ❌ Funding très positif → attention, risque de dump
  • ✅ OI stable ou en hausse pendant un breakout → bon signe

💥 3. Décision de trade (15 min)

🎯 Objectif : prendre position uniquement si ta méthode dit OUI

📋 Check-list avant d’entrer en trade (à cocher mentalement ou sur papier) :

  1. ✅ Setup identifié (Breakout / EMA / Range)
  2. ✅ Ratio R:R minimum 1:2
  3. ✅ SL clairement défini (pas au hasard)
  4. ✅ Sizing cohérent (ex : 100 $ max par trade avec SL de 5%)
  5. ✅ Funding + OI ne contredisent pas ta position
  6. ✅ Capture d’écran et note dans ton journal (avant d’entrer)

Si une seule case est non : tu n’entres pas. Discipline stricte.


📓 4. Suivi de trade & Journal (10 min)

📘 Objectif : améliorer ta méthode et ta psychologie trade après trade

📌 Dans ton Notion (modèle que je t’ai fait) :

  • Actif, setup, prix entrée, SL/TP, levier
  • Pourquoi tu es entré
  • Résultat du trade (+ ou -)
  • Screenshot (avant & après)
  • État émotionnel : serein ? stressé ? impulsif ?

✅ Si trade en cours :

  • Ne touche pas au SL/TP sans raison technique
  • Déplace SL au break-even uniquement si TP1 atteint

🧘‍♂️ 5. Rappel mental de fin de session (optionnel mais puissant – 2 min)

📣 “Je suis un trader pro. Je ne suis pas ici pour jouer, mais pour appliquer une méthode. Mon job, c’est d’attendre la bonne configuration et d’exécuter proprement. Je suis là pour durer.”


📅 Exécution conseillée :

  • Le matin à 8h / 9h ou le soir à 18h / 19h
  • À heure fixe pour créer une habitude automatique

James
Ray

James Ray is a distinguished environmental coach dedicated to empowering individuals and organizations to adopt sustainable practices. With expertise in sustainable energy solutions, James guides clients in understanding their environmental impact and implementing effective strategies for energy efficiency and conservation. Through personalized coaching sessions, James fosters a collaborative environment, inspiring clients to make meaningful changes and embrace a greener future.

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Innovateur climatique
Architecte de solutions
Avocat de l’énergie propre
Passionné de technologie


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