Long Trade on RESOLV 03 Sep 2025 at 18:44:53
Take profit at 0.1507 (0.67 %) and Stop Loss at 0.1492 (0.33 %)
Long Trade on RESOLV 03 Sep 2025 at 18:44:53
Take profit at 0.1507 (0.67 %) and Stop Loss at 0.1492 (0.33 %)
Position size of 2391.5258 $
Take profit at 0.1507 (0.67 %) and Stop Loss at 0.1492 (0.33 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.71 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.38 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.59 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.377685 15m : -0.083444 1H : 0.059959 |
2 |
Indicators:
111933
-0.000704027
111854
0.377685
111565
0.00274834
111872
-0.083444
110179
0.0152063
111854
0.059959
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 03 Sep 2025 18:44:53 |
03 Sep 2025 20:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1497 | 0.1492 | 0.1507 | 2 | 0.05795 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1492 - 0.1497 = -0.0005
Récompense (distance jusqu'au take profit):
E - TP = 0.1497 - 0.1507 = -0.001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.001 / -0.0005 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2391.5258 | 100 | 15975.4559 | 23.92 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -0.0005 = -16000
Taille de position USD = -16000 x 0.1497 = -2395.2
Donc, tu peux acheter -16000 avec un stoploss a 0.1492
Avec un position size USD de -2395.2$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -16000 x -0.0005 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -16000 x -0.001 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.67 % | 15.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.33 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -0.33 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.334 % | 100 % | 7 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1507
[entry_price] => 0.1497
[stop_loss] => 0.14915
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-03 20:35:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 0.1507
[entry_price] => 0.1497
[stop_loss] => 0.1491
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-03 20:35:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.1507
[entry_price] => 0.1497
[stop_loss] => 0.14905
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-03 20:35:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.1507
[entry_price] => 0.1497
[stop_loss] => 0.14895
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-03 20:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0012
[max_drawdown] => 0.0005
[rr_ratio] => 2.4
[high] => 0.15090000
[low] => 0.14920000
[mfe_pct] => 0.8
[mae_pct] => 0.33
[mfe_mae_ratio] => 2.4
[candles_analyzed] => 24
[start_at] => 2025-09-03T18:44:53-04:00
[end_at] => 2025-09-03T20:44:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.0012
[max_drawdown] => 0.0049
[rr_ratio] => 0.24
[high] => 0.15090000
[low] => 0.14480000
[mfe_pct] => 0.8
[mae_pct] => 3.27
[mfe_mae_ratio] => 0.24
[candles_analyzed] => 84
[start_at] => 2025-09-03T18:44:53-04:00
[end_at] => 2025-09-04T01:44:53-04:00
)
[breakout] => Array
(
[high_before] => 0.15190000
[high_after] => 0.15090000
[low_before] => 0.14960000
[low_after] => 0.14660000
[is_new_high] =>
[is_new_low] =>
)
)