Long Trade on AVAX 15 Jul 2025 at 22:38:15
Take profit at 21.9839 (0.81 %) and Stop Loss at 21.6907 (0.54 %)
Long Trade on AVAX 15 Jul 2025 at 22:38:15
Take profit at 21.9839 (0.81 %) and Stop Loss at 21.6907 (0.54 %)
Position size of 1487.3904 $
Take profit at 21.9839 (0.81 %) and Stop Loss at 21.6907 (0.54 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.35 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.602205 |
Indicators:
117411
-0.00268285
117096
0.602205
117425
-0.00227266
117159
118247
-0.00973531
117096
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 15 Jul 2025 22:38:15 |
16 Jul 2025 00:05:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 21.808 | 21.6907 | 21.9839 | 1.5 | 9.4 |
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 = 21.6907 - 21.808 = -0.1173
Récompense (distance jusqu'au take profit):
E - TP = 21.808 - 21.9839 = -0.1759
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.1759 / -0.1173 = 1.4996
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1487.3904 | 100 | 68.2039 | 14.87 |
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 / -0.1173 = -68.2
Taille de position USD = -68.2 x 21.808 = -1487.31
Donc, tu peux acheter -68.2 avec un stoploss a 21.6907
Avec un position size USD de -1487.31$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -68.2 x -0.1173 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -68.2 x -0.1759 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.81 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.54 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.18 $ | -0.55 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5823 % | 105.83 % | 10 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 21.98
[entry_price] => 21.81
[stop_loss] => 21.678
[rr_ratio] => 1.29
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 21.98
[entry_price] => 21.81
[stop_loss] => 21.666
[rr_ratio] => 1.18
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 21.98
[entry_price] => 21.81
[stop_loss] => 21.654
[rr_ratio] => 1.09
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 21.98
[entry_price] => 21.81
[stop_loss] => 21.63
[rr_ratio] => 0.94
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.084
[max_drawdown] => 0.187
[rr_ratio] => 0.45
[high] => 21.89200000
[low] => 21.62100000
[mfe_pct] => 0.39
[mae_pct] => 0.86
[mfe_mae_ratio] => 0.45
[candles_analyzed] => 24
[start_at] => 2025-07-15T22:38:15-04:00
[end_at] => 2025-07-16T00:38:15-04:00
)
[long_term] => Array
(
[max_gain] => 0.279
[max_drawdown] => 0.187
[rr_ratio] => 1.49
[high] => 22.08700000
[low] => 21.62100000
[mfe_pct] => 1.28
[mae_pct] => 0.86
[mfe_mae_ratio] => 1.49
[candles_analyzed] => 72
[start_at] => 2025-07-15T22:38:15-04:00
[end_at] => 2025-07-16T04:38:15-04:00
)
[breakout] => Array
(
[high_before] => 22.58100000
[high_after] => 22.08700000
[low_before] => 21.77600000
[low_after] => 21.62100000
[is_new_high] =>
[is_new_low] =>
)
)