Long Trade on AVAX 15 Jul 2025 at 23:15:38
Take profit at 21.9486 (0.73 %) and Stop Loss at 21.6843 (0.49 %)
Long Trade on AVAX 15 Jul 2025 at 23:15:38
Take profit at 21.9486 (0.73 %) and Stop Loss at 21.6843 (0.49 %)
Position size of 1648.6275 $
Take profit at 21.9486 (0.73 %) and Stop Loss at 21.6843 (0.49 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.565112 |
Indicators:
117370
-0.000995432
117254
0.565112
117390
-0.00116382
117254
118214
-0.00812435
117254
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 15 Jul 2025 23:15:38 |
16 Jul 2025 00:10:00 |
54 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 21.79 | 21.6843 | 21.9486 | 1.5 | 8.956 |
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 = 21.6843 - 21.79 = -0.1057
Récompense (distance jusqu'au take profit):
E - TP = 21.79 - 21.9486 = -0.1586
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.1586 / -0.1057 = 1.5005
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1648.6275 | 100 | 75.6598 | 16.49 |
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 / -0.1057 = -75.69
Taille de position USD = -75.69 x 21.79 = -1649.29
Donc, tu peux acheter -75.69 avec un stoploss a 21.6843
Avec un position size USD de -1649.29$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -75.69 x -0.1057 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -75.69 x -0.1586 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.73 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.49 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.32 $ | -0.50 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5048 % | 100 % | 5 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 21.95
[entry_price] => 21.79
[stop_loss] => 21.669
[rr_ratio] => 1.32
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 21.95
[entry_price] => 21.79
[stop_loss] => 21.658
[rr_ratio] => 1.21
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 21.95
[entry_price] => 21.79
[stop_loss] => 21.647
[rr_ratio] => 1.12
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 21.95
[entry_price] => 21.79
[stop_loss] => 21.625
[rr_ratio] => 0.97
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-16 00:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.222
[max_drawdown] => 0.169
[rr_ratio] => 1.31
[high] => 22.01200000
[low] => 21.62100000
[mfe_pct] => 1.02
[mae_pct] => 0.78
[mfe_mae_ratio] => 1.31
[candles_analyzed] => 24
[start_at] => 2025-07-15T23:15:38-04:00
[end_at] => 2025-07-16T01:15:38-04:00
)
[long_term] => Array
(
[max_gain] => 0.371
[max_drawdown] => 0.169
[rr_ratio] => 2.2
[high] => 22.16100000
[low] => 21.62100000
[mfe_pct] => 1.7
[mae_pct] => 0.78
[mfe_mae_ratio] => 2.2
[candles_analyzed] => 72
[start_at] => 2025-07-15T23:15:38-04:00
[end_at] => 2025-07-16T05:15:38-04:00
)
[breakout] => Array
(
[high_before] => 22.58100000
[high_after] => 22.16100000
[low_before] => 21.74100000
[low_after] => 21.62100000
[is_new_high] =>
[is_new_low] =>
)
)